The International Journal of Coal Science & Technology is a peer-reviewed open access journal. It focuses on key topics of coal scientific research and mining development, serving as a forum for scientists to present research findings and discuss challenging issues.
Coverage includes original research articles, new developments, case studies and critical reviews in all aspects of scientific and engineering research on coal, coal utilizations and coal mining. Among the broad topics receiving attention are coal geology, geochemistry, geophysics, mineralogy, and petrology; coal mining theory, technology and engineering; coal processing, utilization and conversion; coal mining environment and reclamation and related aspects.
The International Journal of Coal Science & Technology is published with China Coal Society, who also cover the publication costs so authors do not need to pay an article-processing charge.
The journal operates a single-blind peer-review system, where the reviewers are aware of the names and affiliations of the authors, but the reviewer reports provided to authors are anonymous.
A forum for new research findings, case studies and discussion of important challenges in coal science and mining development
Offers an international perspective on coal geology, coal mining, technology and engineering, coal processing, utilization and conversion, coal mining environment and reclamation and more
Published with the China Coal Society
Research Article
Open Access
Published: 13 July 2022
0 Accesses
International Journal of Coal Science & Technology Volume 9, article number 50, (2022)
1.
School of Mines, China University of Mining and Technology, Xuzhou, China
2.
State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, China
3.
MOE Key Laboratory of Deep Coal Resource Mining, China University of Mining and Technology, Xuzhou, China
4.
Department of Sustainable Development, Environmental Science and Engineering, Royal Institute of Technology, Stockholm, Sweden
5.
State Key Laboratory of Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou, China
Water inrush is one of the most dangerous disasters in coal mining. Due to the large-scale mining and complicated hydrogeological conditions, thousands of deaths and huge economic losses have been caused by water inrush disasters in China. There are two main factors determining the occurrence of water inrush: water source and water-conducting pathway. Research on the formation mechanism of the water-conducting pathway is the main direction to prevent and control the water inrush, and the seepage mechanism of rock mass during the formation of the water-conducting pathway is the key for the research on the water inrush mechanism. This paper provides a state-of-the-art review of seepage mechanisms during water inrush from three aspects, i.e., mechanisms of stress-seepage coupling, flow regime transformation and rock erosion. Through numerical methods and experimental analysis, the evolution law of stress and seepage fields in the process of water inrush is fully studied; the fluid movement characteristics under different flow regimes are clearly summarized; the law of particle initiation and migration in the process of water inrush is explored, and the effect of rock erosion on hydraulic and mechanical properties of the rock media is also studied. Finally, some limitations of current research are analyzed, and the suggestions for future research on water inrush are proposed in this review.
As one of the most dangerous disasters in underground coal mines, water inrush is commonly encountered in the process of tunnel excavation and mining working face advancing (Bagci et al. 2014; Wu et al. 2011a). Once water inrush occurs, groundwater rapidly flows through rock fissure and enters the mining space from the aquifer under the action of water pressure. If the water inflow exceeds the drainage capacity of mine facilities within a short time, the mining space will be flooded (Ma et al. 2020a; Wang et al. 2020a; Zhang and Yang 2021). Water inrush occurring in the tunnel will threaten personnel safety, and large deformation caused by water inrush will disable the tunnel (Golian et al. 2021; Li et al. 2013). Water inrush occurring in the working face will lead to the mining interruption and abandonment of mining equipment (Gao et al. 2018; Hu et al. 2019). In some cases, water inrush will be accompanied by a large amount of solid mud into the space, which not only increases the difficulty of cleaning but also causes the roof collapse, floor heave, and other structural instability disasters (Ma et al. 2021b; Xu et al. 2016; Zhao et al. 2021a). Finally, a large amount of groundwater enters the mining space and the acid mine drainage is produced, resulting in the severe loss and pollution of groundwater and irreparable damage to the environment (Fan and Ma 2018; Kefeni et al. 2017; Wu et al. 2011b; Zhang and Peng 2005).
As the largest consumer and producer of coal in the world, China has consumed about 4 billion tons of coal in 2020, accounting for 56.8% of the total energy consumption (National Bureau of Statistics 2020). Among the consumption of coal, more than 90 percent of coal was produced domestically; in 2020, about 4,700 coal mines were put into operation, producing 3.9 billion tons of coal (China Coal Industry Association 2021; National Bureau of Statistics 2020). At the same time, China has the most complex mine hydrogeological conditions in the world: nearly 60% of the mining areas are carboniferous coal-bearing strata, and about 900 coal mines have a high risk of water inrush (Fig. 1) (Sun et al. 2016; Wu et al. 2019c; Zhao et al. 2020). As a result, a large number of water inrush accidents can be caused. According to incomplete statistics, 1,196 severe water inrush accidents occurred in China in the past 20 years, resulting in 4,775 death and missing (Ma et al. 2018c; State Administration of Coal Mine Safety 2014; Sun et al. 2016) and it also brought the direct economic loss exceeded 1 billion CNY (Yang et al. 2018c). For example, on March 28, 2010, in the construction process of No. 20101 working face of the Wangjialing Coal Mine, when the ventilating tunnel was connected with the old goaf above, a large-scale water inrush accident was triggered, which trapped 153 miners and caused a direct economic loss of nearly 50 million CNY (Cui et al. 2018). On January 30, 2015, in the mining process of the 866-1 working face of the Zhuxianzhuang Coal Mine, water-conducting pathways were connected to the aquifer above the roof under the influence of mining disturbance, water inrush was caused from the working face roof. This accident resulted in 7 deaths, working face abandonment, and a direct economic loss of 12 million CNY (Xue et al. 2021). On April 10, 2021, during the excavation of the B4W01 ventilating tunnel of Fengyuan Coal mine, the groundwater in old goaf broke through the water barrier, causing flooding of the main and secondary inclined shafts, pit bottom and other areas, which resulted in 21 deaths and a direct economic loss of 70 million CNY. (National Mine Safety Administration 2021). In the above accidents, due to the lack of understanding about the seepage mechanics mechanism of rock mass in the coal mine, reasonable measures could not be taken to prevent the occurrence and further development of disasters. Therefore, it is necessary to study the rock seepage mechanics mechanism of water inrush in coal mines for safety production.
Figure 2 shows the typical water inrush from the roof and floor. In these cases, water source and water-conducting pathway are two main factors inducing the water inrush (Zhao et al. 2020). However, due to the difficulty and the unfavorable consequence (e.g. destroying aquifer) of controlling water source (Ma et al. 2021c), studying the formation mechanism and control method of the water-conducting pathway is the main approach to preventing and controlling water inrush in the coal mine (Liu et al. 2018a). The seepage mechanism in the water-conducting pathway is undoubtedly the most critical link in this issue. It is proved that the stress field and seepage field in rock mass changes dramatically simultaneously in the process of water inrush. At the same time, the nonlinear characteristics of fluid seepage rise sharply with the evolution of mechanical and hydraulic characteristics of rock mass medium. All these phenomena indicate that the seepage mechanism of water inrush in the coal mine is a complicated topic and deserved to be investigated thoroughly.
According to the evolution characteristics of water inrush from different views, the seepage mechanism in the process of water inrush is summarized into the following three main aspects: stress-seepage coupling mechanism, flow regime transformation mechanism and rock erosion mechanism. A large number of studies have been conducted through modeling, numerical analysis and experimental investigation from the three aspects, providing scientific guidance for the prevention and control of coal mine water inrush. This review aims to summarize the latest results of rock seepage mechanics of water inrush from these three aspects and propose the future research direction of seepage mechanics mechanism of water inrush in the rock mass.
As mentioned in the above section, researchers mainly focus on three aspects of the stress-seepage coupling mechanism, flow regime transformation mechanism, and rock erosion mechanism in revealing the seepage mechanism of the water inrush.
Many researchers believe that the process of water inrush is a mutation process in which the seepage field and stress field couples and develops towards an unstable state in the rock mass (Pang et al. 2014; Wu et al. 2017c; Yin et al. 2015). Under the influence of mining disturbance, the surrounding rock of the mining space (tunnel, working face) undergoes stress redistribution, causing the damage, large deformation, and fracture development in the rock mass eventually (Chen et al. 2020). The propagation of fractures in rock mass promotes the improvement of rock permeability. At the same time, with the groundwater entering the rock fractures, the rock strength is significantly decreased. Under the combined action of seepage and stress, the water-conducting pathway in the rock mass is gradually connected, then groundwater is forced to enter the mining space at a high velocity (Zhang and Shen 2004; Zhu et al. 2014). In this process, since the stress field and the seepage field constantly couple with each other and change with time, it is difficult to quantitatively analyze the temporal and spatial evolution law (Meng et al. 2016; Yin et al. 2016). In addition, due to the inhomogeneity of rock mass, the fractured and weakly cemented areas such as discontinuities and faults in rock mass become potential seepage channels inside rock mass. Since mechanical properties of the water-conducting pathway present obvious plastic characteristics and seepage properties of the water-conducting pathway present the nonlinear characteristics (Ma et al. 2016b; Sun et al. 2019), the study on the water-conducting pathway of rock materials is extremely complicated.
Another issue is the transformation of the fluid flow regime during water inrush. Ever since H. P. G. Darcy proposed his famous law of linear flow in 1856, the interest in the fluid motion in rock media has never waned. It is generally believed that the fluid movement in the aquifer is a linear laminar flow regime, that is, the fluid pressure and velocity have a linear relation (Layton et al. 2002; Shahbazi et al. 2021). However, the groundwater flow in the mining space is turbulent after the occurrence of water inrush. This means that the relation between water pressure and velocity is non-linear, and the multiplied water pressure often does not get the multiplied flow (Chen et al. 2015c; Zhao et al. 2021b). Therefore, it is of great engineering significance to identify the fluid motion state and study its transformation mechanism for evaluating the water inrush disaster and forecasting the water inrush quantity. Due to the diversity of rock media, the flow pattern transformation in fractured or porous rock mass media is extremely complicated, and the temporal and spatial characteristics of flow regime transformation are difficult to be broken through (Kong et al. 2021; Zhang et al. 2021b).
Under the action of water pressure, some fine particles in rock mass migrate out with water, which has a disastrous effect on the evolution of the water inrush process. The migration of rock particles causes the increase of porosity in the rock mass, which further increases the permeability of rock mass and causes more groundwater to flow out (Ma et al. 2019a; Wang et al. 2019b). At the same time, the loss of rock particles causes damage to the rock structure and induces the instability failure of rock mass (Ma et al. 2021a; Zhao et al. 2021c). Since Vardoulakis et al. (Papamichos et al. 2001; Stavropoulou et al. 1998; Vardoulakis et al. 1996) proposed the erosion constitutive model of rock and soil materials, the phenomenon of rock erosion in rock mass has always been highly concerned by researchers. To explore the migration law of fine particles in the rock mass and its influence on the process of water inrush, a large number of experimental instruments have been developed (Liu et al. 2019a; Ma et al. 2017a; Wang et al. 2020b). However, due to the complexity of the interaction between water and rock mass, it is difficult to intuitively obtain the formation and migration of fine particles, as well as to solve the influence mechanism of rock mass damage, deformation and instability caused by rock erosion.
In the following sections, a large number of studies on different seepage mechanisms are summarized from the aspects of the numerical and experimental approach in the last 30 years. The similarities and differences, merits and limitations of these studies are compared and analyzed to outline the overall picture of this research field.
In the process of the water inrush, the seepage and stress field couples together. First of all, the redistribution of the stress field results in the damage and breakage of rock mass, thus increasing its hydraulic properties. At the same time, the seepage in the rocks also changes the pore pressure and structure strength, so as to change its mechanical behavior. Therefore, the coupling mechanism of seepage and stress fields should be studied to analyze the evolution of water inrush disasters.
The study of the interaction between rock mass and fluid began within soil mechanics. Terzaghi (1923) proposed the effective stress theory. It is reported that the total stress \(\sigma\) acting in the saturated soil is borne by the pore pressure \(\sigma_{\text{p}}\) and the effective stress on the soil framework \(\sigma_{\text{eff}}\), that is:
After this, Biot (1941) revised the effective stress theory and proposed the concept of the effective stress coefficient. Since then, more and more researchers have investigated the fluid–structure interaction, established the coupling models, and conducted numerical simulations.
To explore the water inrush phenomenon in the intact floor/roof under the seepage-stress coupling action, a series of modeling and simulation research has been conducted. In these models, fracture initiation and propagation continuously occur in the surrounding rocks under the coupling action of seepage-stress fields, leading to the occurrence of water inrush.
For most models, the initial and expansion of fractures are regarded as the main reason for the increase of permeability in the roof/floor strata. Based on the RFPA2D, Zhang et al. (2009) conducted a coupling analysis on the evolution of hydraulic characteristics and fractures propagation in the process of water inrush through a flow-stress-damage model. Their results showed that the water inrush in the strata is caused by the connection of a large number of vertical fractures in the fracture zone. To clarify the relationship between permeability and stress during water inrush, Meng et al. (2016) proposed a three-dimensional coupling model of stress and permeability based on the complete stress–strain and permeability curves of different rock samples. The simulation results showed that, as the mining progresses, the fractures in the roof and floor are first compacted; when the stress reaches the rock strength, the fractures develop and expand gradually. The permeability evolution with the stress can be divided into three stages, including the decline stage, growth stage and recovery stage. Based on the analysis of fracture and permeability properties of different rock strata, Liu et al. (2018c) established a seepage-stress coupling model of the coal seam floor. The simulation results show that with the increase of water pressure, the confining pressure decreases, while the permeability of the floor increases, and the fractures’ penetration and water inrush occur at the stress change position. Wang et al. (2021) established a numerical model and analyzed the fracture and hydraulic properties of fractured specimens. It is found that the permeability of floor strata is closely related to the horizontal stress after coal mining, and the longitudinal propagation of wing fractures contributes to the formation of water inrush pathways.
With the increase of mining depth, rock strata are under the environment of high in-situ stress, elevated water pressure, and intensive mining disturbances, there will be more severe water inrush from the roof/floor (Hou et al. 2020; LaMoreaux et al. 2014; Liu et al. 2021; Ma et al. 2022c; Shen et al. 2012). To this end, the mechanism of water inrush in deep mines should be revealed comprehensively. Shen et al. (2012) set up an anisotropic flow model to study the mechanism of water inrush in deep mines, and obtained the failure depth of the floor and the effective protection layer thicknesses in the deep mine according to their simulation results. Guo et al. (2017) analyzed the stress variation and pore pressure distribution characteristics of rock mass at different depths using a fluid–solid coupling model. In line with the equivalent continuum theory, combining the non-linear dynamic module and seepage module of FLAC, Li and Bai (2019) simulated the water inrush process under the influence of the dynamic and static stress superposition disturbance and the pore pressure (This is a typical environment for the deep floor under the high-strength mining). Based on a numerical study by the FLAC3D, Zhang (2021a) found that water inrush from the deep floor may be attributed to the expansion effect of rock strata after the stress relief.
The above studies focus on the coupling action of seepage stress in intact strata. However, in the process of coal mining, some water-conducting structures such as fault and karst collapse pillar (KCP) are commonly encountered (Kong and Wang 2018b; Lu and Wang 2015; Ma et al. 2015; Shi et al. 2018a). Due to their broken and loose internal structure, these water-conducting structures are easily deformed under the coupling action of seepage and stress, leading to a higher permeability of the structures. These water-conducting structures are regarded as potential water inrush channels (Li et al. 2017; Mu et al. 2020; Yu et al. 2020), which significantly shorten the distance between the mining space and aquifer (Lu et al. 2009; Wu et al. 2017b). Therefore, through theoretical modeling and numerical simulation, many researchers have focused on the evolution of mechanical and hydraulic characteristics of water-conducting structures under the seepage-stress coupling action (Ma et al. 2015, 2018a; Wu et al. 2019b).
KCP is widely distributed in limestone and is formed by the long-term dissolution of groundwater. The interior of KCP is composed of rock blocks of various sizes, between which clay is mainly filled and cemented. In order to analyze the seepage-stress coupling mechanism in KCP, on the basis of variable mass and nonlinear dynamics, Bai et al. (2013) established a plug model to describe the relation between the seepage velocity and KCP mass. The seepage velocity in KCP was regarded as the key factor for water inrush in their study. Ma et al. (2016b) analyzed the influence of coal mining on the instability of seepage and stress fields, and obtained the evolution of mechanical and hydraulic properties when the working face is advanced before and after the penetrated KCP (See Fig. 3). Liu et al. (2018a) considered the influence of the KCP height, floor strength and water pressure on the risk of water inrush. Based on micromechanics theories, Lu et al. (2020) proposed a stress-seepage-damage coupling method to simulate the fracture evolution and the groundwater flow in KCP. The effectiveness of the proposed method is verified by ultra-high precision micro-seismic monitoring, and the method can directly reflect the connectivity of the water-conducting pathway. By establishing a FLAC3D numerical model, Lin et al. (2021) obtained the evolution law of the plastic zone and the seepage field, and used the affected width of KCP as a criterion of water inrush, that is, if the width reaches a critical value, the aquifer is connected with the floor fracture zone, and then water inrush can be caused.
The fault is formed by the crust fracture under the action of tectonic stress. The activation phenomenon of faults under the coupling action of seepage-stress is considered as the main symptom of the occurrence of water inrush in fault. Through the simulation of the working face advancement, Sun et al. (2019) studied the evolution of stress and flow velocity near the fault, and pointed out that, there is a high risk of water inrush if the flow velocity in the fault is much higher than that in the floor. Li and Wu (2019) further analyzed the coupling of displacement, stress and seepage fields, and summarized the precursory characteristics of water inrush. Considering the softening influence of dewatering on fault permeability, Mu et al. (2020) simulated the mechanical and seepage characteristics of nature and disturbed fault rocks. The results show that the positive feedback effect between the fault rocks’ strength and their permeability is the main inducement for water inrush in the fault zone.
An obvious delay phenomenon of water inrush is reported in Mu et al. (2020)’s research, in fact, many researchers have claimed the lag effect of water inrush in the fault (Bai et al. 2021; Li and Bai 2019). This phenomenon presents a critical opportunity for field workers: if this interval is used for rapid evacuation, personnel and equipment will be protected (Li et al. 2015); if not handled properly, a serious safety accident can be triggered. Therefore, it is essential to understand the seepage-stress coupling mechanism in the lag phenomenon of the water inrush process (Wu et al. 2011a). It is widely believed that the occurrence of delayed effect is the coupling result of the fluid and deformation, which is closely related to the permeability of the fracture zone (Yu et al. 2021).
In recent years, to effectively reveal the seepage-stress coupling principle of water inrush, researchers have tried to analyze the water inrush mechanism from the perspectives of some novel mechanical and mathematical methods, including elastic mechanics methods (Tang et al. 2011), elastoplastic mechanics methods (Zhu et al. 2014), micromechanics methods (Lu and Wang 2015), fracture mechanics methods (Li et al. 2019c) and damage mechanics methods (Zhou et al. 2020).
From the perspective of elasticity mechanics methods, Tang et al. (2011) established a mathematical model of water inrush in KCP and deduced the formula of critical water pressure. It is concluded that the bearing capacity of the waterproof layer is mainly affected by the thickness and strength, and the critical water inrush pressure of KCP depends not only on the relative thickness of the water barrier, but also on its absolute thickness. Lu et al. (2013) and Lu and Wang (2015) combined the continuous damage model with the pore elasticity model and proposed the loss-flow coupling simulation method. Through numerical simulation, the fracture development, permeability change, water inrush channel formation and water flow process of floor strata in the process of mining are reproduced. By combining the brittle fracture criterion in fracture mechanics and the limited equilibrium condition of shear failure in rock mechanics, Li et al. (2019c) found the critical water pressure condition for the instability of waterproof strata, and proposed a confined water pressure-based mechanical criterion of the water inrush.
With the expansion of fractures, a high-permeability damage zone is generated; as the scope of the damage zone further expands, it will eventually cause a water inrush accident. Therefore, studying the damage mechanism of coal and rock mass in the mining process is also beneficial to enriching the seepage-stress coupling mechanism of water inrush. Yuan et al. (2015) used the continuous-discrete element method to obtain the movement of the roof and the damage properties of the floor. It is found that the risk index of water inrush grows with the goaf area, and it approaches the maximum value at the maximum caving interval. Xue et al. (2018a) established a seepage-stress-damage coupling model and discussed the mechanical and hydraulic properties of pre-peak and post-peak periods. By simulating the whole process of coal from microscopic damage to macroscopic fracture, this research concluded that the rupture starts from randomly distributed internal damage points, and then expands to a macroscopic rupture zone with stress loading. In order to reveal the creep failure properties of mudstone, Zhou et al. (2020) developed the hydraulic-mechanical coupling damage creep model of soft rock, which can clearly reflect the deformation characteristics of mudstone in different creep stages. Different from the above researchers who only focused on damage changes under the seepage action, Yang et al. (2007) innovatively linked the accumulation of damage to the evolution of permeability, and proposed a fully coupled flow-stress-damage model to predict the time, location and path of water inrush. On the basis of the seepage-stress coupling theory, Zhang (2014) analyzed the evolution of the damage characteristics and the flow vector in the floor, and divided the rock formation between the mining space and the aquifer into four different areas. Besides, the water inrush is attributed to the connection of “mining damage area” and “water-conducting area”.
However, the rock mass is assumed to be isotropic in the above studies, and the influence of anisotropy of rock mass on the water inrush is not considered. Liu et al. (2012b) employed seepage-stress coupling theory and anisotropic seepage model to simulate the process of floor inrush, analyzed the anisotropic permeability characteristics of floor strata, and proposed that grouting reinforcement in the broken zone and setting up protective coal pillars are effective measures to prevent floor inrush. Considering the cross-coupling effect of seepage and stress fields, Yang et al. (2014) established an anisotropy model and analyzed the anisotropy characteristics of the fractured rock mass. The study has shown that the anisotropy of fractured rock mass has a great influence on the distribution and size of stress field, seepage field and damage zone (Fig. 4). Lu and Wang (2015) introduced the concept of heterogeneity in stress-seepage simulation, and investigated the influence of uniformity index and confined water pressure on water inrush process of heterogeneous floor strata.
In summary, the effect of expansion, fracture connection in the intact rock, and the activation of water-conducting structure on water inrush in the coal mine have been throughout discussed. The water inrush in the deep coal mine as well as its lagging phenomenon also have been increasingly emphasized. With the development of mathematical methods, a lot of novel mechanical methods (e.g., fracture mechanics methods, micromechanics methods, elastoplastic mechanics methods and damage mechanics methods) have also been applied in this subject, and the anisotropy characteristics of rock media have been concerned as well. These methods are helpful to understand the mechanism of water inrush and are effective methods to prevent the occurrence of water inrush disasters.
In addition to modeling and simulation methods, experimental research and field measurement are also important methods to study the seepage-stress coupling mechanism of the water inrush process.
Laboratory experimental research refers to the use of mature or self-designed equipment in the laboratory to conduct experiments on rock mechanics, seepage and similar simulations. The external variables and experimental environment can be accurately controlled in laboratory experiments with good flexibility. At the same time, laboratory experiments can also be used to verify the correctness of the theoretical analysis and numerical simulation to facilitate the correction of the theory. However, experimental research also has problems such as difficulty in fully simulating the on-site situation, and the results obtained may deviate from engineering practice. According to the different experimental materials and test methods, experimental research is mainly classified into complete rock experiments, similar material simulation experiments and seepage experiments of the broken rock mass.
In recent years, with the continuous enrichment of seepage-stress coupling test equipment and test methods, researchers have carried out a series of intact rock stress–strain-permeability experiments (Souley et al. 2001; Wang and Park 2002) to analyze the mechanical and seepage characteristics of roof and floor strata. Figure 5 shows the principle of the classic seepage-stress coupling experiment. The rock sample is under the axial compression stress \(P_{1}\), the confining pressure \(P_{2}\) and pore pressures on the upper and bottom of the sample \(P_{3}\) and \(P_{4}\). Due to the pore pressure difference \(\Delta P\), the water flows from upper to bottom. The axial deformation and the variation of pressure difference are recorded in real time for the subsequent calculation of the rock permeability. A large number of test results (Jiang et al. 2013; Pang et al. 2014; Xiao et al. 2020; Zhou et al. 2020) has shown that during the elastic compression stage, the permeability of the sample decreases with the increase of the axial stress. This is caused by the compaction and closure of some small fractures in the rock. As the stress further increases, the sample enters the yield stage; the fractures are gradually generated and developed, contributing to the increase of the permeability. When the rock fractures intensify, the permeability gradually reaches its peak.
It is no doubt that different rock samples have different variations in stress–strain-permeability characteristics. Zhang (2021b) compared the stress–strain-permeability of four lithologic rocks. According to the experimental results, the permeability peak generally appears in the stress softening stage. Based on the testing data, a series of quantitative indicators are put forward to assess this seepage-stress coupling process in different lithologic rocks. Through the micro-fracture test of limestone, Feng and Ding (2007) studied the fracture development characteristics of fractured limestone samples with the coupling effects of stress and seepage field. Based on the experimental determination on the strength of the mixed rock, Wu et al. (2017a) proposed to use the critical water inrush coefficient as an indicator to judge the occurrence of water inrush. By improving the traditional test equipment, other researchers (Li et al. 2008b; Xu et al. 2012; Zhao et al. 2009) also established different complete rock seepage-creep coupling test systems and methods, and tested the rock creep and permeability characteristics under long-term seepage-stress coupling. These studies have obtained the characteristics of rock creep failure and the law of permeability evolution.
Due to the difficulty of in-situ sampling of some rock materials, the seepage-stress coupling experiment in similar materials is also a major focus of researchers. Zhang et al. (2017a) used similar materials to simulate the coal seam floor, and dyed the fluid to observe the flow trajectory. The periodic variation of the stress and seepage characteristics of the floor under the mining disturbance and high-pressure water was obtained in this research. In another research (Zhang et al. 2017b), a similar material model of the floor with concealed faults was developed to analyze the interaction between the floor and the fault, which can realize the observation and analysis of the whole process of floor fracture formation and concealed fault activation. To study the water inrush from the floor and the stress evolution during coal mining, Li et al. (2018) established a new type of similar experimental model with good airtightness. The gas pressure was employed to compensate for pressure instability and frequent shutdowns. However, restricted by the size and strength of the equipment, the simulation of rock depth is limited, which cannot meet the simulation of complex geological conditions. Based on the experimental simulation of the whole process of water inrush from the floor, Liu et al. (2019b) adopted the thin plate theory to analyze the distribution of water inrush position, which can realize the prediction of water inrush position.
In order to simulate the process of water inrush from faults and KCP fracture zone, researchers conducted a series of seepage-stress coupling tests on broken rock samples. By means of the MTS815 system and other self-designed components, Ma et al. (2016a; 2019b) carried out a variety of experiments to study the compaction and seepage characteristics of broken rocks. Li et al. (2016) conducted a seepage-creep experiment to illustrate the seepage characteristics of the rock, and used the rate of change of porosity to express the creep characteristics of broken rocks. Wu et al. (2019b) studied the seepage mechanism of fractured sandstone under axial stress, and the results showed that the permeability coefficient of fractured sandstone is related to the axial stress and particle size. Li et al. (2019a; 2019b) performed compaction and seepage experiments of broken coal under different stress conditions. The results indicated that there are differences in compaction characteristics, seepage characteristics and elastic energy storage between a single coal body and a mixed coal body. Liu and Li (2020) obtained the permeability characteristics of coal gangue and fly ash under different stress levels. It is reported that the changes in axial stress and increase in fly ash content can be used as important indicators to characterize water inrush and mud inrush.
Field experiments refer to experiments conducted on the engineering site, which is generally used to collect test samples, obtain in-situ data and verify relevant conjectures and mathematical models. The observed phenomena of field experiments can guide the progress of engineering practice and prevent safety problems in advance. However, the field experiment also has problems such as complicated experiment environment and difficult operation.
To obtain the seepage-stress coupling properties, researchers have conducted many in-situ experimental studies and obtained some interesting conclusions. Through actual measurement and theoretical analysis, Yin et al. (2015) proposed that the destruction of the aquifer and hydraulic fracture caused by water pressure and mining is the main causes of water inrush (See Fig. 6a). From the perspective of fracture mechanics, Li et al. (2015) summarized that there is a hysteresis effect in the compression and shear propagation of water-containing fractures in the face of a karst tunnel, and proposed a "two-zone" theory and a calculation method of minimum safe thickness based on drilling and blasting engineering. Liang et al. (2015) obtained the waterproof characteristics of the normal fault fracture zone by a novel dual-hole pressure test. In order to better understand the hydraulic characteristics of deep fractured rocks under high groundwater pressure and stress, Huang et al. (2016; 2018b) explored the hydraulic response evolution and permeability changes of naturally fractured rocks through a series of high-pressure injection tests (See Fig. 6b). The results show that the injection rate increases non-linearly with the increase of injection pressure, and the fractures show a higher permeability after several water injection cycles. Based on experimental results of the field water injection (See Fig. 6c), Zhu and Zhang (2018) analyzed the relation between waterproof properties of floor and the pore pressure of the aquifer, which provides a risk assessment method for water inrush. Through the existing theory of water inrush and detailed analysis of mine site data, Zhang and Yang (2021) built a parameters system of factors affecting water inrush.
In summary, researchers have modified the classical fluid–structure coupling test device in different ways, and conducted sufficient studies on the stress-seepage characteristics of intact rocks, similar materials and broken rock masses. Various influencing factors of water inrush are analyzed and different evaluation methods of water inrush are put forward. A series of field tests have provided relevant parameters of seepage-stress characteristics and verification methods for laboratory tests and numerical simulation, providing an important reference for the prevention and control of water inrush.
During water inrush, the water flow in aquifers, mine rock masses and working spaces show different motion properties, and the analysis of flow regime transformation mechanism plays an important role in the mechanism research of water inrush. This section intends to summarize the current research status of the flow regime transformation mechanism in the process of water inrush disasters.
According to variable resistance of the fluids in different media, the flow regime can be divided into three forms: laminar flow, transitional flow and turbulent flow (Bear 1988; Yang et al. 2008). The groundwater flow in the aquifer conforms to the Darcy's law, and the flow regime in the mining space belongs to the free turbulent flow, while the flow regime in the water-conducting media (which connects the aquifer and mining space) is between the above two states and represents the nonlinear laminar flow (transition flow) properties.
Zhao et al. (2014) studied the water inrush in confined karst caves. It is believed that the fluid experiences a nonlinear seepage stage before the instability of strata; when waterproof rock columns are unstable, the water state is transformed into pipeline flow (a kind of transitional flow). By analyzing water–rock interaction under different Reynolds numbers, Kundu et al. (2016) characterized different flow regimes in porous media, including three main states (pre-Darcy, Darcy and Forchheimer flow regimes) and two transition states (Darcy transition and weak inertia flow regime) (See Fig. 7).
To describe the flow regime at each stage of water inrush, scientists have established various mathematical equations. In 1856, Darcy established the linear relation between fluid flow and head gradient, which is known as Darcy's Law (Chaudhary et al. 2011).
where, u is the flow velocity; μ is the viscosity; k is the permeability; p is the water pressure; ρ is the water density; g is the gravity acceleration; Z is the position head of water.
Later, researchers discovered that the relationship between flow rate and the hydraulic gradient is not always linear. Wood and Hazra (2017) first found that the flow of oil in fractured media shows a non-linear relation between flow rate and hydraulic gradient. In hydraulic engineering, similar nonlinear relations are commonly encountered (Hosseinejad et al. 2019). In the process of water inrush of underground engineering, such non-Darcy characteristics often appear in the high-speed seepage of non-uniform porous media.
Although non-Darcy flow is commonly employed in geotechnical engineering, unfortunately, no equation can accurately describe the nonlinear flow under high Reynolds numbers. The discussion of a single constitutive relation of non-Darcy seepage in the process of water inrush has continued until today. At present, there are two empirical formulas for nonlinear seepage: the Lzbash equation and the Forchheimer equation.
Lzbash equation (Sedghi-Asl et al. 2014) is an empirical formula, and the specific form is:
where, α is the empirical parameter; \(\eta\) is the non-Darcy index (1 ≤ \(\eta\) ≤ 2).
The value of the non-Darcy index depends on the flow pattern of the fluid. When the flow pattern is the linear flow and \(\eta\) = 1, then the equation is degraded to the Darcy equation. When the flow pattern is turbulent flow, \(\eta\) = 2 is used in this equation. If 1 < \(\eta\) < 2, the flow pattern is non-Darcy flow, which is between the linear flow and turbulent flow. Many researchers have made extensive research on the value of the coefficient of this equation and provided a lot of modifications. In general, these empirical equations are obtained through a large number of experimental data.
In 1901, Forchheimer established an equation to describe the nonlinear relation between hydraulic slope and seepage velocity under large Reynolds number, and the specific equation is (Briggs et al. 2017):
where β is the non-Darcy factor. The first and second terms of the right part of Eq. (4) represent the inertial action and the viscous action of fluid, respectively. If the flow velocity is slow and the inertia force can be ignored, the fluid is mainly affected by the viscous force and presents a laminar flow regime. The equation is transformed into the Darcy equation. If the flow velocity is faster, the fluid is mainly affected by inertia force and presents the nonlinear Darcy flow.
When water enters the mining space and presents free turbulent flow, Navier–Stokes equations can be used (Shi et al. 2016):
where f is the body force, t is the time.
The above studies illustrate the motion modes under different flow regimes, but how the fluid motion states change is still unknown. Some researchers have proposed the idea of the critical number to distinguish between Darcy flow and non-Darcy flow. Chilton and Colburn first proposed the critical Reynolds number Rec for non-Darcy flow in porous media and defined the Reynolds number Re as (Yang et al. 2016):
where, Dp is the medium particle diameter; Re increases with the increase of water velocity u, if Re is beyond the critical Reynolds number Rec, it is considered that the fluid is changed into the non-Darcy seepage state.
The critical Reynolds number has been widely used to judge the start of the nonlinear flow. The critical Reynolds numbers have a wide range and are summarized in Table 1.
Author | Model/material | Methods | Critical Reynolds number | Description |
---|---|---|---|---|
Chen et al. (2015a) | Sedimentary rocks and intrusive rocks | Field test | Re: 25–66 | Critical Reynolds number of fluid flowing from linear to nonlinear is 25–66 |
Fand et al. (1987) | Randomly packed spheres | Laboratory test | Re > 120 | Fully developed turbulent flows |
Chen et al. (2009) | Artificial fracture | Laboratory test | Re: 650–700 | Fluid in this range transforms into turbulence |
Sedghi-Asl and Rahimi (2011) | Pile of stone material | Laboratory test | Re < 120; Re: 120–10,000 Re > 10,000 | A linear Darcy flow pattern less than 120; Transition flow pattern between 120 and 10,000; Above 10,000 is turbulence |
After this, the theoretical model of non-Darcy flow and its internal parameters in different media have been fully investigated. With the continuous innovation of computer technology, researchers can comprehensively consider various factors during flow regime transformation through numerical simulation. By means of mathematical software, analysis results can be visualized more intuitively. For the significant differences of different seepage media (e.g., single rock fracture, rock fracture networks media and broken rock media) in the process of water inrush, different models with various parameters have been established by means of various numerical simulations.
For the fractured rock media, Chen et al. (2015b) analyzed the test results of fractured rock permeability under high water pressure, and obtained the non-Darcy characteristics during hydraulic fracturing by establishing two mathematical models based on Forchheimer theory and Izbash theory. Chaudhary et al. (2011) believed that the characteristics of Forchheimer flow (a kind of non-Darcy flow) are caused by the increase of eddy currents in the pore of material; the hydraulic conductivity coefficient Ka decreases as a result of the water-conducting pathway shrinking caused by the eddy growth. Zhou et al. (2016) proposed a new non-Darcy seepage model considering friction effects. It is recovered that fluid states of the Forchheimer flow and fully turbulent flow are more likely to occur in the rough fracture due to the larger friction coefficient in this media.
Zhang et al. (2017c) established a non-Darcy flow model in the single rough fracture from the pore scale. A critical Reynolds number was added to describe the relation between local permeability and flow rate. Due to the non-uniformity of fluid flow, the macroscopic flow was considered to be linear and turbulence only occurred locally (See Fig. 8). The degree of nonlinear deviation increases gradually with the increase of flow rate. By solving Navier–Stokes equations, Liu et al. (2020; 2016) numerically simulated fracture intersection and plugging effects, and discussed the effect of fluid flow regime transformation on fracture networks in detail.
For the study of broken rock media, Dukhan et al. (2014) studied the water flow in two types of porous media filled with spheres in different sizes and metal foams, and obtained the different permeabilities in different flow regimes. The experimental data were fitted by Forchheimer and Ergun relations, and the most suitable characteristic lengths for determining Reynolds number and friction coefficient were obtained. Bagci et al. (2014) also explored the water flow in filled spherical media with two different diameters and determined the coefficient of the Ergun formula. Since the previous studies are concentrated on the evolution of the coefficient in a specific flow regime, the influence of the transformation of the flow regime in the whole flow process is ignored. In line with a traditional power-law equation (Lzbash equation), Banerjee et al. (2019) built a predicted model for flow velocity during the entire flow regime transformation (from laminar to turbulent seepage), in which the size and porosity of the medium were known.
To understand the mining disturbance-induced water inrush, some researchers (Shi et al. 2016; Yang et al. 2018a, 2008) established a conceptual model in broken rock media. In this model, the unfavorable geological body (e.g., KCP (Yang et al. 2017) and fault (Shi et al. 2018a)) was considered as the main water-conducting pathway, and three different seepage modes (i.e., the Darcy laminar flow in the aquifer, the Forchheimer flow in the broken rock media and the Navier–Stokes flow in mining space) were integrated. Based on this conceptual model, Xue et al. (2018b) found that the Forchheimer flow is affected by both the viscous resistance and inertial resistance, and this inertial resistance increases with the increase of flow velocity. Considering the KCP as a transition area between aquifer and tunnel, Yang et al. (2008) developed a nonlinear seepage model. The calculation results show that, if the supply water pressure keeps stable, the seepage velocity changes significantly after entering the water-conducting pathway. Coupling with three different seepage regime equations, Hou et al. (2018) argued that the water flow in the unfavorable geological body obeys the Forchheimer equation and belongs to an intermediate seepage state between linear flow and turbulent flow. Xue et al. (2019) quantitatively described the nonlinear behavior of groundwater flow in fault by the Forchheimer equation. A multi-field coupled flow model was established to analyze the effect of different physical factors on the non-Darcy flow.
Scientists (Huang et al. 2018a; Kundu et al. 2016; Zhang et al. 2021b) also studied the seepage state transformation in the broken rock media from the perspective of parameter variation. Kundu et al. (2016) regarded broken rocks as a kind of isotropic media with different porosity, and discussed the transform point of seepage state based on the parameter evolution. By the numerical analysis of the seepage system in broken coal media, Zhang et al. (2021b) concluded that the water inrush disaster from KCP can be indicated by the mutation of the seepage parameter, and demarcated the limited value of the non-Darcy coefficient βc. It is summarized that when this coefficient is less than βc, any slight variation of parameters may lead to water inrush.
In summary, according to the results of the existing research, the process of water inrush is considered to be a transition process from linear laminar flow (Darcy flow) through nonlinear laminar flow (Forchheimer flow) to turbulent flow. Different seepage equations for different flow regimes have been proposed. Some indicators, such as the Reynolds number, are widely used in identifying flow regime transitions. Based on these equations, a series of numerical studies have been carried out to systematically study the evolution of various seepage parameters (permeability, non-Darcy factor, Reynolds number, etc.) in fractured media and porous media. Besides, unfavorable geological bodies (faults, KCP, etc.) have been regarded as the main medium of transition flow (Forchheimer flow) due to their unique fracture/porous structure. These studies contribute to the discovery of the formation and development of water inrush.
Due to the limitation of experimental instruments, the number of experimental research on flow regime transformation is less than that of theoretical and numerical research. In the past 30 years, the experimental research on flow regime transformation in rock water inrush mainly focused on the testing and analysis of flow characteristics of seepage transition section (i.e., Non-Darcy flow) in different media (including broken rocks media and fractured rocks media).
Lots of researchers have evaluated the non-linear seepage behavior during water inrush through tests on broken rock media. Li et al. (2008a) conducted a series of non-Darcy seepage tests on different lithologies with different particle sizes under different porosities. The results show that the non-Darcy factor may be negative in the sample with a high crush ratio. Sedghi-Asl et al. (2014) discussed the non-Darcy properties of six kinds of broken rock materials, and evaluated several classic seepage equations by testing data. It is found that particle size has an important influence on the parameter of seepage equations. Improving the seepage media by steel balls within variable diameters, Bagci et al. (2014) conducted experiments to study the seepage state transformation mechanism. Several different flow regime characteristics (pre-Darcy flow, Darcy flow, Forchheimer flow and turbulent flow) were obtained through their experimental observations. To investigate the influence of rock erosion on non-linear seepage characteristics of broken rocks, Ma et al. (2019a) introduced the Forchheimer factor in their testing result analysis. It is found that both fluid velocity and rock porosity can affect the non-linear seepage characteristics simultaneously (See Fig. 9). Based on a self-designed device, Shi et al. (2020) researched the non-Darcy seepage properties of broken limestone under different porosities. Through a series of steady-state seepage experiments, an empirical relation among inertia coefficient, hydraulic conductivity and porosity was proposed, and the seepage state and critical velocity were quantitatively studied by using the Reynolds number and Forchheimer number in this study.
The above studies mainly focus on the evolution of flow regimes by changing the properties of rock materials (e.g., distribution of particle size, porosity and lithology). In recent years, some studies have found that the stress and pore pressure states of the material also have a great influence on the motion state of the fluid. Using the independently developed experimental system, Zhang et al. (2020b) carried out constant water pressure loading and gradient loading on the media in the fault fracture zone, and revealed the flow regime transformation law under the action of high osmotic pressure. It is found that there is a critical hydraulic gradient under the gradient loading condition, which transforms the seepage state of the medium. Ma et al. (2018b; 2021c) and Liu et al. (2019a) conducted experimental studies on the evolution of non-Darcy seepage in fractured rock mass under confined compression and triaxial compression respectively. The results show that the flow velocity decreases with time while the non-linear properties of flow increase gradually under the compression effect.
Obviously, the non-Darcy seepage properties in the broken rock media have been thoroughly analyzed. For fractured media, researchers are more interested in the judgment of critical conditions of flow regime transformation in the process of water inrush, although most of these studies are also concentrated on the value assessment of physical parameters in the nonlinear seepage process, such as porosity, permeability and non-Darcy factors. Through a hydraulic test on the fractured parallelepiped rock samples under variable water heads (See Fig. 10), Cherubini et al. (2012) verified the validity of the Forchheimer equation in fracture media, and found the essential role of tortuosity in the seepage of fractured rocks. Zhou et al. (2015) studied the nonlinear seepage characteristics of coarse wall fractures at low Reynolds numbers under different confining stresses, and quantitatively describe the initiation time of nonlinear seepage by a critical Reynolds number equation. Zhang et al. (2020d) conducted a sequence of seepage tests on fractured rock specimens under different confining stresses through a self-developed test system. Based on the experimental data, the hydraulic evolution during the flow regime transformation process was analyzed. Zhang et al. (2020c) used a self-designed triaxial seepage test system to measure the permeability of cemented fractured coal rocks. It is found that the severe fluctuation in the magnitude of the non-Darcy coefficient indicates the flow regime transformation, leading to the water inrush.
In conclusion, studies on the flow regime transformation in the fractured rocks and broken rocks media have been extensively performed in recent years. However, limited by the test conditions, most of the studies only focus on the non-Darcy flow (transition flow) to obtain the precursory law of water inrush disasters. To ensure the stability and reliability of the results, most of the studies rely on self-designed systems. These studies consider the influence of medium properties (particle size, lithology, fracture morphology, etc.) and external conditions (stress state and water pressure, etc.), providing valuable experimental support for the study of flow regime transformation mechanisms in the process of water inrush.
During the water inrush disaster from fractured and broken media, under the action of water flow, some of the solid particles migrate with the fluids, forming the solid–liquid two-phase flow. This rock erosion phenomenon contributes to the increase of hydraulic properties as well as the decrease of rock mass stability, which finally results in water inrush hazards. Therefore, it is essential to study the rock erosion mechanism during water inrush to investigate the precursor information of water inrush.
Numerical analysis is considered as an important method for the research of rock erosion mechanisms. The current studies are mainly divided into two categories: (1) studies on the generation and motion characteristics (e.g., pore pressure, particle content and the velocities of fluid and solid particles) of the two-phase flow; (2) studies on the evolution of hydraulic properties (e.g., porosity and permeability) and mechanical properties (e.g., stress, strain and deformation) of media under the action of the two-phase flow.
For the research on the motion properties of two-phase flow, the results show that the threshold velocity of the motion of the particles is affected by their sizes (Yang et al. 2020; Zhang et al. 2021a). Considering the aggregation effect of particles under the interparticle adhesion, Wang et al. (2019b) simplified the fractured sand-stone samples. Based on the two motion modes (i.e., particle movement and collision), the rock erosion process was simulated under different particle sizes, initial flow rates and adhesion forces. Constructing a water–sediment two-phase flow resistance model, Ma et al. (2020b; 2022b) studied the effects of different factors on the water–sediment inrush. It is found that the friction between the sediment grains and the fracture surface is the main source of the drag force on the sediment grains (see Fig. 11). Moreover, based on the Lagrange algorithm, Kong and Wang (2020) established a relation between particle loss mass and particle migration mass. The particle loss ratio can be employed as a water inrush index, and a high loss value indicates a high possibility of seepage instability (see Fig. 12).
The instability of fine particles on the surface of the rock mass skeleton is a critical reason for seepage water inrush (Liu et al. 2017; Wu et al. 2021). According to the stress characteristics of particles, it is shown that there are two instability conditions in water inrush: sliding instability and rolling instability. Many works (Bong et al. 2016; Kothyari and Jain 2008; Prancevic et al. 2014) studied the instability of particles from the stress characteristics of microscopic particles and calibrated the critical velocity of particle migration under two different instability forms. The relation between the initial velocity \(u_{0}\) and the critical velocity (including the sliding velocity \(u_{\text{s}}\) and the rolling velocity \(u_{\text{r}}\)) is shown in Table 2.
Pattern of instability | Instability state | Critical state | Stable state |
---|---|---|---|
Sliding instability | \(u_{\text{s}} > u_{0}\) | \(u_{\text{s}} = u_{0}\) | \(u_{\text{s}} < u_{0}\) |
Rolling instability | \(u_{\text{r}} > u_{0}\) | \(u_{\text{r}} = u_{0}\) | \(u_{\text{r}} < u_{0}\) |
Liu et al. (2017) established a moment equilibrium equation (Eq. 7) for the particles rolling instability through force analysis of particles in granite water-inrush passage.
where, \(F_{\text{D}}\) is the dragging force of water flow; \(F_{\text{C}}\) is the cohesive force; \(F_{\text{U}}\) is the uplift force; \(G\) is the effective gravity; \(D\) is the particle diameter; \(\gamma\) and \(\theta\) are the geometry parameters. Based on Eq. (7), Liu et al. (2017) characterized the starting velocity of particles with different particle sizes and exposure degrees and reported that particle size has a significant influence on the starting velocity. However, this research ignored the water pressure of the two-phase fluid.
Based on the consideration of water pressure in the water-mud inrush disaster, Wu et al. (2021) obtained a moment balance equation (Eq. (8)) for the rolling instability of particles on the surface of the rock mass skeleton and established a sliding instability equation (Eq. (9)).
where, \(F_{\text{S}}\) is the seepage force; \(\varphi\) is the internal friction angle between particles; \(\chi\) is the angle between seepage force and the inclined plane; \(\gamma\) and \(\theta\) are geometry parameters that are the same as defined in Eq. (7).
In the above studies, the effects of particle size and the migration quality on seepage characteristics of the two-phase fluid in the process of water inrush were analyzed. However, the variation of the hydraulic properties (e.g., permeability and porosity) of rocks caused by rock erosion was not involved.
Many works considered the hydraulic evolution of rock media during the water inrush by modeling and simulation as well. Concerning the porosity evolution caused by rock erosion, researchers built many permeability evaluation models and obtained the evolution function of the ratio of original permeability to arbitrary time permeability (Lee et al. 1996; Li and Logan 1997; Veerapaneni and Wiesner 1996). Yao et al. (2018a) established a Warren-Root micro-element model of KCP, which included a mass conservation equation of solid particles and water, an evolution equation of fracture aperture and porosity, and a water seepage equation. Besides, the interaction among permeability evolution, water seepage and rock erosion were studied (Fig. 13).
Other researchers noticed the relation between the Non-Darcy flow and the rock erosion (Ma et al. 2019a; Shi and Yang 2020; Yang et al. 2021). Taking fully weathered granite as the research object, Liu et al. (2018b) obtained the influence of particle erosion on porosity and pore pressure in the evolution process of water inrush by coupling the mass balance equation of fluidized particles with the porosity evolution equation. Yang et al. (2021) built a rock erosion model coupling Darcy, non-Darcy and turbulent seepage regimes, to reveal the evolution law of seepage field during water inrush.
These studies provide a valuable theoretical basis for the mechanism of rock erosion in the process of water inrush from the perspective of numerical analysis. However, in recent years, many researchers (Douglas et al. 2018; Hicher and Chang 2009; Zhang et al. 2017b) believe that in the process of water inrush, the rock mass is more prone to instability failure due to the impact of rock erosion on the structural strength of rock mass, and this failure can induce a larger scale of water inrush.
The study of the effect of rock erosion on the structural strength of geotechnical materials started from soil erosion. The change of mechanical property caused by the migration and loss of particles has been studied in soil mechanics for a long time. It is shown that soil erosion leads to the degradation of soil structure, and finally leads to the deformation and instability of soil structure on the macro scale (Golay and Bonelli 2011; Horikoshi and Takahashi 2015; Hunter and Bowman 2018).
The research on soil erosion provides a reference for studying the change of rock mass structure and mechanical properties caused by rock erosion. Vardoulakis et al. (1996) proposed a mathematical model of erosion dynamics to expound on the relation between rock mass damage and rock erosion. It is pointed out that local damage caused by stress concentration in rock mass increases the concentration of loose particles in the fluid, and the erosion of particles further leads to rock failure. Based on the rock erosion law in the fracture zone, derived a relation between permeability and volumetric strain in the broken rock mass, which has been successfully employed in simulating the variation of stress field under mining disturbance. Based on the non-Darcy law of seepage and water inrush in the fractured rock mass, Wang et al. (2020c) deduced the functional relation between rock eroded mass and sample strain in the seepage process.
By the combination of CFD and DEM methods, Shi et al. (2018b) established a seepage erosion model in coarse particle media and determined that the failure of granular soil particles is attributed to the particle flow under the high pore pressure. Qiu et al. (2019) found that in the seepage process of rock and soil, the liquefied fine particles and water often belong to non-Newtonian fluids instead of Newtonian fluids. Moreover, the increase of the stress caused by the migration of the fine particles will finally result in the instability of the orebody structure.
In conclusion, according to theoretical analysis and numerical simulation, the above research mainly expounds on the change of fluid characteristics and permeability and strength of water inrush media which is caused by rock erosion in the process of water inrush. Based on the force state of the particles, researchers considered various particle instability states such as sliding and rolling and studied the starting characteristics of solid particles from a numerical perspective. Considering the influence of rock erosion on the porosity of rock mass, a series of porosity–permeability relations are proposed, and then the evolution law of hydraulic characteristics in different media under different flow regimes is simulated. On the basis of the research results of erosion in soil mechanics, researchers established a model to describe the relation between rock mass damage and strain and rock erosion. The loss of fine particles caused a sudden change in the distribution of the internal stress field in the rock mass, which is considered as the main cause of water inrush and rock mass instability.
Experimental research is also an important approach to exploring rock erosion. Many studies have reproduced the process of water inrush under rock erosion flow in the laboratory by providing large pressure and setting particle outlets. By measuring fluid velocity, water pressure, particle concentration, and porosity (although most of the time indirectly), a detailed analysis of rock erosion mechanisms during water inrush can be conducted.
In order to study the evolution law of fluid characteristics, researchers have carried out a large number of laboratory tests of solid–liquid two-phase flow in the process of seepage. Zhang et al. (2014) first developed a fault water inrush testing system, in which the water was injected from the lower inlet and gushed out with solid particles from the upper outlet through the water inrush channel. By conducting seepage tests, Yang et al. (2019) obtained the characteristics of water–sediment seepage through a V-shape fracture. The result showed that the pore water pressure is proportional to fracture angle. Zhang et al. (2021a) carried out a water–sand flow test on a self-designed system. Based on the test curves, an empirical relation among the migration quality of aeolian sand, flow velocity and porosity was summarized.
Unfortunately, all the above rock erosion processes in rock mass could not be visualized, as these experimental studies were carried out in a closed opaque seepage experimental device. To this end, using breaking rods and tubes of borosilicate glass to simulate irregular seepage pathways, Hunter and Bowman (2018) carried out visualized permeability tests under different hydraulic gradients and different particle sizes with planar laser-induced fluorescence experimental means (Fig. 14). Some other works (Yang et al. 2018b; Zhang et al. 2017a) also recorded visually the rock erosion and the fracture connection process during water inrush by the special design in the seepage system.
The velocity of the two-phase fluid is taken as the seepage velocity in all of the above research, which means the water flow and particle share the same velocity during seepage. On the basis of the original seepage experimental system, a new experimental system with a water–sand separation velocimeter was established by Yang et al. (2020). The flow velocity of sand and water was calculated by mass displacement theory, suggesting that the disintegration and migration of small particles are the main reasons for the expansion and permeability increase of the fractured zone.
In recent years, the evolution of hydraulic characteristics of rock mass caused by rock erosion during water inrush has also been researched by different experimental methods. Various erosion tests have been carried out under different fracture distributions (Yang et al. 2019), particle size ratios (Kong et al. 2013; Ma et al. 2017b), mineral composition (Ma et al. 2014) and loading mode (Bendahmane et al. 2008; Richards and Reddy 2010) to study the water inrush mechanism under erosion effects. The results showed that rock erosion are significant reasons for the change of pore structure and permeability of rock mass. (Kong and Wang 2018a; Wang and Kong 2018; Wang et al. 2020b, 2019a, 2020c).
Nevertheless, this study only considered the effect of certain fracture characteristics, in fact, fracture distribution in rock mass often changed under the action of mining stress. Zhang et al. (2020a) made a 3D physical simulation test system on the water–sand inrush. Compared with the previous experiment, this system had a high impermeability and provided a constant-speed excavation without suspending of coal mining simulation. By means of this system, the overall process of water–sand inrush disaster from working face was reproduced.
Some other works reported that the particle size ratio and mineral composition are important factors affecting rock erosion. Wang et al. (2017) invented an injection flow method to ensure constant pressure during the erosion test (See Fig. 15a), obtained the erosion characteristics of fractured mudstone, and defined three types of water inrush channel (i.e., surface cavity, internal cavity and thin pipes) during the unstable seepage phase. To simulate the natural state of rock mass, Feng et al. (2018) conducted an erosion test on the rocks with continuous size distribution. According to the hydraulic evolution, the erosion process during water inrush is divided into three phases: initial seepage, mutation seepage and stable seepage (See Fig. 15b). Ma et al. (2022a; 2017a) analyzed the erosion characteristics of broken sandstones with different granular size distributions, and the results indicate that more significant erosion effects occurred in samples with a higher content of fine granules, and the permeability in these samples increase rapidly. (See Fig. 15c). Furthermore, Wu et al. (2019a) introduced the genetic algorithm into the analysis of the seepage test data. The results showed that particle size distribution has a negative correlation with permeability under the erosion condition. Liang et al. (2008) investigated the hydraulic behavior of salt rock during dissolution. The outcomes indicated that fine particles in the salt rock are gradually dissolved with the increasing leaching time, and the permeability of the orebody grows gradually due to the formation of complex channels on the surface (See Fig. 15d).
In the above experimental research, the variation law of hydraulic properties caused by rock erosion was characterized. However, the effects of the mechanical field during water inrush were neglected in these experiments. It is no doubt that the migration of particles in the process of seepage inrush first changes the distribution of fracture channels in the rock mass, and then impresses the seepage characteristics of the rock mass. At the same time, with rock erosion, the structural stability of the rock mass is damaged, resulting in the failure of the rock mass. Existing experimental studies have shown that the development and extension of fractures caused by rock erosion have a great influence on the strength of rocks (Zhou et al. 2018, 2019).
As a fact, a large number of seepage experiments under different loading modes have been conducted to evaluate the hydraulic evolution of the media under different stress states (Chen et al. 2021; Liu et al. 2012a; Tomlinson and Vaid 2000). Based on a transient seepage test under compress effect (Zhang et al. 2016), it is found that the internal structure of KCP becomes looser under the influence of mining disturbance, so that the fine particles are more easily migrated.
Based on the seepage test of fracture propagation under rock erosion, Dunning et al. (1994) discovered that water–rock reaction can increase the expansion capacity of fractures in faults and the crushing capacity of mudstones in faults. Ma et al. (2016c) found that the particles in the fractured rock mass were rearranged under the effect of erosion, and the structure of the rock mass structure was changed, leading to the instability of the ore body finally. Yao et al. (2018b) carried out seepage experiments in the different PH of aqueous solutions. It is found that water–rock chemical reactions result in the separation of fine rock particles, which reduces the strength of ore bodies. Based on the study on fractured rock mass, Kong et al. (2020) conducted seepage experiments under different operating environment conditions. The experimental results show that in the process of water–rock interaction, the physical and chemical reactions of water, carbon dioxide and acid or alkali with rock erode the mineral particles on the rock surface; as a result, the distribution of rock particles, the structure and strength of rock mass are changed, and the instability of rock mass is finally caused.
All in all, researchers have carried out a series of experimental studies to explore the evolution of two-phase flow characteristics, hydraulic characteristics and mechanical characteristics of the medium caused by rock erosion. First, by simulating the water inrush channel in the laboratory, the process from the start of the two-phase flow to the migration was reproduced, and the relation between the rock erosion rate, flow velocity, water pressure and other physical quantities were obtained. Interestingly, part of the experiment also visually observed the migration process of the two-phase flow through the visual design of the equipment. Second, based on a series of erosion tests in broken/fractured rock masses, the evolution law of hydraulic characteristics of rock mass media during erosion was obtained. The different stages of erosion-induced water inrush and the types of the water-conducting pathway are divided. Finally, some researchers have considered the mechanical field in the erosion test, so as to study the relation between rock erosion and rock mass failure under the action of seepage stress. These test results show that under the action of stress, more fine particles will leave the rock mass, causing more serious erosion and further deterioration of rock mass.
In this study, we summarized the studies of rock seepage mechanics mechanism of coal mine water inrush disaster from three aspects: fluid–structure coupling mechanism, flow regime transformation mechanism and rock erosion mechanism. The main conclusions and recommendations for further research are as follows.
The stress-seepage coupling mechanism is considered as an important research direction in the process of water inrush in coal mines. Through numerical methods and experimental analysis, the evolution law of stress field and seepage field in the process of water inrush has been fully studied. Many mathematical methods, such as fracture mechanics methods, micromechanics methods and elastoplastic mechanics methods have been applied to the research of this topic. Through various fluid–structure coupling test devices, a series of experimental data of stress-seepage coupling water inrush have been obtained, which provided good support for the theoretical model. For the research in this direction, there are still the following questions to be solved:
At present, some mesoscopic seepage-stress coupling models have been built to research the stress-seepage coupling mechanism during water inrush. However, due to the complexity of the parameters and calculation of these models, its verification process is still limited in laboratory-scale problems, and it is difficult to accurately describe the engineering-scale water inrush process.
For the field research, the existing forecasting methods of water inrush in coal mines are mainly based on the assessment of mechanical characteristics of the strata, e.g., analysis of the development characteristics of collapse zone and hydraulic fracture zone. The precursor information analysis related to the seepage field evolution needs to be further studied.
There is still a lack of understanding of the evolution of other physical fields such as chemical field, thermodynamic field and electromagnetic field. The study of chemical and thermodynamic fields is of great significance to the study of water inrush in specific geological structures, and the study of the earth electromagnetic field before and after water inrush may play a positive role in the detection and prediction of water inrush.
For the mechanism of flow regime transformation in the process of water inrush, researchers have a clear understanding of fluid motion characteristics under different flow regimes. In recent years, a series of numerical and experimental studies have specifically analyzed the evolution of nonlinear hydraulic characteristics of the fluid in the process of water inrush. Especially, researchers have emphasized the non-Darcy flow in fractured and porous rock mass media. For the research in this direction, there are the following problems:
For flow regime transformation in different rock media, most of the existing studies are based on empirical or semi-empirical formulas, which means that a large number of on-site and indoor studies are required to conduct calibration studies. Considering the heterogeneity of rock mass media, the accuracy of parameter acquisition is greatly reduced.
Existing studies have not been able to accurately explain the direct connection between the transformation process of the flow regime and the occurrence of water inrush. Most studies failed to put forward a clear judgment standard for the occurrence of water inrush through the transformation of the flow regime.
Considering the complexity of flow regime transformation, some studies have introduced artificial intelligence algorithms for research, which will be an important trend in this field. It is a challenging task to ensure that artificial intelligence methods can effectively identify flow regime transformation characteristics in the process of water inrush.
Researchers have carried out many numerical and experimental studies on rock erosion in the process of coal mine water inrush. These studies have generally proved the law of particle initiation and migration in the process of water inrush, and have fully studied the influence of rock erosion on the hydraulic and mechanical characteristics of media. The following challenges remain:
For the existing erosion model, the calibration and verification are usually on the basis of laboratory tests. However, considering the complexity of fracture zone boundary and the inhomogeneity of internal media, the existing models are still difficult to accurately describe the erosion phenomenon in the engineering rock mass.
At the same time, most of the existing erosion models regard rock mass as the continuous elastic medium. It lacks a discussion on the relation between rock erosion, rock mass damage and microcrack propagation at the meso-mechanical scale. In addition, these models lack the analysis of the influence of stress field in rock mass on particle initiation and migration.
Due to the limitations of experimental devices and materials, most of the current experimental studies fail to achieve intuitive observation of the rock erosion process. For the evolution of the seepage field (including water pressure and seepage velocity), rock erosion (e.g., particle starting position and migration path) and the medium characteristics (e.g., the spatial distribution of water pressure and porosity) under complex conditions remain to be further studied.
[1] | Bagci O, Dukhan N, Ozdemir M (2014) Flow regimes in packed beds of spheres from pre-darcy to turbulent. Transp Porous Media 104:501–520 |
[2] | Bai HB, Ma D, Chen ZQ (2013) Mechanical behavior of groundwater seepage in karst collapse pillars. Eng Geol 164:101–106 |
[3] | Bai J, Duan S, Liu R, Xin L, Tian J, Zhang Q, Ma H (2021) Evolution of delayed water inrush in fault fracture zone considering time effect. Arab J Geosci 14:1001 |
[4] | Banerjee A, Pasupuleti S, Singh MK, Dutta SC, Kumar GNP (2019) Modelling of flow through porous media over the complete flow regime. Transp Porous Media 129:1–23 |
[5] | Bear J (1988) Dynamics of Fluids in Porous Media. Courier Corporation |
[6] | Bendahmane F, Marot D, Alexis A (2008) Experimental parametric study of suffusion and backward erosion. J Geotech Geoenviron Eng 134:57–67 |
[7] | Biot MA (1941) General theory of three-dimensional consolidation. J Appl Phys 12:155–164 |
[8] | Bong CHJ, Lau TL, Ab Ghani A, Chan NW (2016) Sediment deposit thickness and its effect on critical velocity for incipient motion. Water Sci Technol 74:1876–1884 |
[9] | Briggs S, Karney BW, Sleep BE (2017) Numerical modeling of the effects of roughness on flow and eddy formation in fractures. J Rock Mech Geotec Eng 9:105–115 |
[10] | Chaudhary K, Cardenas MB, Deng W, Bennett PC (2011) The role of eddies inside pores in the transition from darcy to forchheimer flows. Geophys Res Lett 38:L24405 |
[11] | Chen Z, Qian JZ, Luo SH, Zhan HB (2009) Experimental study of friction factor for groundwater flow in a single rough fracture. J Hydrodyn 21:820–825 |
[12] | Chen YF, Hu SH, Hu R, Zhou CB (2015a) Estimating hydraulic conductivity of fractured rocks from high-pressure packer tests with an Izbash’s law-based empirical model. Water Resour Res 51:2096–2118 |
[13] | Chen YF, Liu MM, Hu SH, Zhou CB (2015b) Non-Darcy’s law-based analytical models for data interpretation of high-pressure packer tests in fractured rocks. Eng Geol 199:91–106 |
[14] | Chen YF, Zhou JQ, Hu SH, Hu R, Zhou CB (2015c) Evaluation of Forchheimer equation coefficients for non-Darcy flow in deformable rough-walled fractures. J Hydrol 529:993–1006 |
[15] | Chen J, Zhao J, Zhang S, Zhang Y, Yang F, Li M (2020) An experimental and analytical research on the evolution of mining cracks in deep floor rock mass. Pure Appl Geophys 177:5325–5348 |
[16] | Chen J, Pu H, Liu J, Zhang J, Qiu P, Gu W, Li Q, Chen Z (2021) Experimental study on water-sand seepage characteristics in fractured rock mass under rheological effect. Geofluids 2021:5593448 |
[17] | Cherubini C, Giasi CI, Pastore N (2012) Bench scale laboratory tests to analyze non-linear flow in fractured media. Hydrol Earth Syst Sci 16:2511–2522 |
[18] | China Coal Industry Association (2021) Annual Report on coal Industry Development 2020. China Coal Industry Association, Beijing |
[19] | Cui F, Wu Q, Zhang S, Wu N, Ji Y (2018) Damage characteristics and mechanism of a strong water inrush disaster at the wangjialing coal mine, shanxi province. China Geofluids 2018:3253641 |
[20] | Douglas K, Pells S, Fell R, Peirson W (2018) The influence of geological conditions on erosion of unlined spillways in rock. Q J Eng Geol Hydrogeol 51:219–228 |
[21] | Dukhan N, Bagci O, Ozdemir M (2014) Experimental flow in various porous media and reconciliation of forchheimer and ergun relations. Exp Thermal Fluid Sci 57:425–433 |
[22] | Dunning J, Douglas B, Miller M, McDonald S (1994) The role of the chemical environment in frictional deformation: stress corrosion cracking and comminution. Pure Appl Geophys 143(1–3):151–178. https://doi.org/10.1007/BF00874327 |
[23] | Fan L, Ma X (2018) A review on investigation of water-preserved coal mining in western China. Int J Coal Sci Technol 5:411–416 |
[24] | Fand RM, Kim BYK, Lam ACC, Phan RT (1987) Resistance to the flow of fluids through simple and complex porous media whose matrices are composed of randomly packed spheres. J Fluids Eng 109:287–288 |
[25] | Feng X-T, Ding W (2007) Experimental study of limestone micro-fracturing under a coupled stress, fluid flow and changing chemical environment. Int J Rock Mech Min Sci 44:437–448 |
[26] | Feng M, Wu J, Ma D, Ni X, Yu B, Chen Z (2018) Experimental investigation on the seepage property of saturated broken red sandstone of continuous gradation. Bull Eng Geol Environ 77:1167–1178 |
[27] | Gao W, Shi L, Han J, Zhai P (2018) Dynamic monitoring of water in a working face floor using 2D electrical resistivity tomography (ERT). Mine Water Environ 37:423–430 |
[28] | Golay F, Bonelli S (2011) Numerical modeling of suffusion as an interfacial erosion process. Eur J Environ Civ Eng 15:1225–1241 |
[29] | Golian M, Teshnizi ES, Parise M, Terzić J, Milanović S, Vakanjac VR, Mahdad M, Abbasi M, Taghikhani H, Saadat H (2021) A new analytical method for determination of discharge duration in tunnels subjected to groundwater inrush. Bull Eng Geol Env 80:3293–3313 |
[30] | Guo WJ, Zhao JH, Yin LM, Kong DZ (2017) Simulating research on pressure distribution of floor pore water based on fluid-solid coupling. Arab J Geosci 10:14 |
[31] | Hicher PY, Chang CS (2009) Instability in granular materials with internal erosion. AIP Conf Proc 1145:153–156 |
[32] | Horikoshi K, Takahashi A (2015) Suffusion-induced change in spatial distribution of fine fractions in embankment subjected to seepage flow. Soils Found 55:1293–1304 |
[33] | Hosseinejad F, Kalateh F, Mojtahedi A (2019) Numerical investigation of liquefaction in earth dams: a comparison of darcy and non-darcy flow models. Comput Geotech 116:103182 |
[34] | Hou XG, Shi WH, Yang TH (2018) A non-linear flow model for the flow behavior of water inrush induced by the karst collapse column. RSC Adv 8:1656–1665 |
[35] | Hou E, Wen Q, Ye Z, Chen W, Wei J (2020) Height prediction of water-flowing fracture zone with a genetic-algorithm support-vector-machine method. Int J Coal Sci Technol 7:740–751 |
[36] | Hu Y, Sun J, Liu W, Wei D (2019) The evolution and prevention of water inrush due to fault activation at working Face No. II 632 in the hengyuan coal mine. Mine Water Environ 38:93–103 |
[37] | Huang Z, Jiang Z, Tang X, Wu X, Guo D, Yue Z (2016) In situ measurement of hydraulic properties of the fractured zone of coal mines. Rock Mech Rock Eng 49:603–609 |
[38] | Huang N, Liu R, Jiang Y, Li B, Yu L (2018a) Effects of fracture surface roughness and shear displacement on geometrical and hydraulic properties of three-dimensional crossed rock fracture models. Adv Water Resour 113:30–41 |
[39] | Huang Z, Li XZ, Li SJ, Zhao K, Zhang R (2018b) Investigation of the hydraulic properties of deep fractured rocks around underground excavations using high-pressure injection tests. Eng Geol 245:180–191 |
[40] | Hunter RP, Bowman ET (2018) Visualisation of seepage-induced suffusion and suffosion within internally erodible granular media. Geotechnique 68:918–930 |
[41] | Jiang AN, Jiang ZB, Jiang S (2013) Test and numerical simulation study of limestone crack seepage-stress coupling with high seepage pressure. In: Tan F (ed) Rock characterisation, modelling and engineering design methods. CRC Press, pp 291–296. https://doi.org/10.1201/b14917-52 |
[42] | Kefeni KK, Msagati TAM, Mamba BB (2017) Acid mine drainage: prevention, treatment options, and resource recovery—a review. J Clean Prod 151:475–493 |
[43] | Kong H, Wang L (2018a) The mass loss behavior of fractured rock in seepage process: the development and application of a new seepage experimental system. Adv Civil Eng 2018:7891914 |
[44] | Kong H, Wang L (2018b) Seepage problems on fractured rock accompanying with mass loss during excavation in coal mines with karst collapse columns. Arab J Geosci 11:585 |
[45] | Kong H, Wang L (2020) The behavior of mass migration and loss in fractured rock during seepage. Bull Eng Geol Env 79:739–754 |
[46] | Kong H, Chen Z, Wang L, Shen H (2013) Experimental study on permeability of crushed gangues during compaction. Int J Miner Process 124:95–101 |
[47] | Kong H, Wang L, Zhang H (2020) The variation of grain size distribution in rock granular material in seepage process considering the mechanical-hydrological-chemical coupling effect: an experimental research. R Soc Open Sci 7:190590 |
[48] | Kong H, Yin M, Wang L, Zhang H, Ji F (2021) A review of the mass-loss-induced non-Darcy seepage and seepage suffosion in the fractured zone: the concepts discrimination and connection. Arab J Geosci 14:2522 |
[49] | Kothyari UC, Jain RK (2008) Influence of cohesion on the incipient motion condition of sediment mixtures. Water Resour Res 44:W04410 |
[50] | Kundu P, Kumar V, Mishra IM (2016) Experimental and numerical investigation of fluid flow hydrodynamics in porous media: characterization of pre-Darcy, Darcy and non-Darcy flow regimes. Powder Technol 303:278–291 |
[51] | LaMoreaux JW, Wu Q, Zhou WF (2014) New development in theory and practice in mine water control in China. Carbonates Evaporites 29:141–145 |
[52] | Layton WJ, Schieweck F, Yotov I (2002) Coupling fluid flow with porous media flow. SIAM J Numer Anal 40:2195–2218 |
[53] | Lee DJ, Chen GW, Liao YC, Hsieh CC (1996) On the free-settling test for estimating activated sludge floc density. Water Res 30:541–550 |
[54] | Li H, Bai H (2019) Simulation research on the mechanism of water inrush from fractured floor under the dynamic load induced by roof caving: taking the Xinji second coal mine as an example. Arab J Geosci 12:466 |
[55] | Li X, Logan BE (1997) collision frequencies of fractal aggregates with small particles by differential sedimentation. Environ Sci Technol 31:1229–1236 |
[56] | Li B, Wu Q (2019) catastrophic evolution of water inrush from a water-rich fault in front of roadway development: a case study of the Hongcai coal mine. Mine Water Environ 38:421–430 |
[57] | Li YP, Wang ZY, Tang MM, Wang Y (2008b) Relations of complete creep processes and triaxial stress-strain curves of rock. J Cent South Univ Technol 15:311–315 |
[58] | Li C, Li J, Li Z, Hou D (2013) Establishment of spatiotemporal dynamic model for water inrush spreading processes in underground mining operations. Saf Sci 55:45–52 |
[59] | Li S, Yuan Y, Li L, Ye Z, Zhang Q, Lei T (2015) Water inrush mechanism and minimum safe thickness of rock wall of karst tunnel face under blast excavation. Chin J Geotech Eng 37:313–320 |
[60] | Li S-c, Li Q, Guo J-n (2016) Experimental study on the porosity creep properties of broken limestone. MATEC Web Conf 61:05001 |
[61] | Li H, Bai H, Wu J, Ma Z, Ma K, Wu G, Du Y, He S (2017) A cascade disaster caused by geological and coupled hydro-mechanical factors: water inrush mechanism from karst collapse column under confining pressure. Energies 10:1938 |
[62] | Li ZH, Zhang SL, Du F (2018) Novel experimental model to investigate fluid-solid coupling in coal seam floor for water inrush. Tehnicki Vjesnik-Techn Gazette 25:216–223 |
[63] | Li B, Liang Y, Zhang L, Zou Q (2019a) Experimental investigation on compaction characteristics and permeability evolution of broken coal. Int J Rock Mech Min Sci 118:63–76 |
[64] | Li B, Zou Q, Liang Y (2019b) Experimental research into the evolution of permeability in a broken coal mass under cyclic loading and unloading conditions. Appl Sci 9:762 |
[65] | Li SC, Wu J, Xu ZH, Yang WM (2019c) Mechanics criterion of water inrush from the coal floor under influence of fault and its engineering application. Int J Geomech 19:9 |
[66] | Li S, Miao X, Chen Z, Mao X (2008a) Experimental study on seepage properties of non-darcy flow in confined broken rocks. Engineering Mechanics:85–92 |
[67] | Liang W, Zhao Y, Xu S, Dusseault MB (2008) Dissolution and seepage coupling effect on transport and mechanical properties of glauberite salt rock. Transp Porous Media 74:185–199 |
[68] | Liang D-x, Jiang Z-q, Guan Y-z (2015) Field research: measuring water pressure resistance in a fault-induced fracture zone. Mine Water Environ 34:320–328 |
[69] | Lin ZB, Zhang BY, Guo JQ (2021) Analysis of a water-inrush disaster caused by coal seam subsidence karst collapse column under the action of multi-field coupling in taoyuan coal mine. Comput Model Eng Sci 126:311–330 |
[70] | Liu W, Fei X, Fang J (2012a) Rules for confidence intervals of permeability coefficients for water flow in over-broken rock mass. Int J Min Sci Technol 22:29–33 |
[71] | Liu RC, Jiang YJ, Li B (2016) Effects of intersection and dead-end of fractures on nonlinear flow and particle transport in rock fracture networks. Geosci J 20:415–426 |
[72] | Liu J, Yang D, Chen W, Yuan J, Li C, Qi X (2017) Research on particle starting velocity in the expansion of water inrush channel in completely weathered granite. Rock Soil Mech 38:1179–1187 |
[73] | Liu HL, Li LC, Li ZC, Yu GF (2018a) Numerical modelling of mining-induced inrushes from subjacent water conducting karst collapse columns in Northern China. Mine Water Environ 37:652–662 |
[74] | Liu J, Chen W, Yang D, Yuan J, Li X, Zhang Q (2018b) Nonlinear seepage-erosion coupled water inrush model for completely weathered granite. Mar Georesour Geotechnol 36:484–493 |
[75] | Liu JQ, Chen WZ, Liu TG, Yu JX, Dong JL, Nie W (2018c) effects of initial porosity and water pressure on seepage-erosion properties of water inrush in completely weathered granite. Geofluids 2018:4103645 |
[76] | Liu J, Chen W, Nie W, Yuan J, Dong J (2019a) Experimental research on the mass transfer and flow properties of water inrush in completely weathered granite under different particle size distributions. Rock Mech Rock Eng 52:2141–2153 |
[77] | Liu SL, Liu WT, Huo ZC, Song WC (2019b) Early warning information evolution characteristics of water inrush from floor in underground coal mining. Arab J Geosci 12:12 |
[78] | Liu R, Huang N, Jiang Y, Jing H, Yu L (2020) A numerical study of shear-induced evolutions of geometric and hydraulic properties of self-affine rough-walled rock fractures. Int J Rock Mech Min Sci 127:104211 |
[79] | Liu S, Peng G, Yin G (2021) A study on the in-situ stress conditions at the Kailuan mining area in China and their influence on coal mine water inrush. Arab J Geosci 14:2057 |
[80] | Liu Y, Li S (2020) Permeability characteristics of granular backfill materials during creep: a case study. Energy Sour Part A Recover Util Environ Eff. https://doi.org/10.1080/15567036.2020.1841851 |
[81] | Liu WT, Shen JJ, Liu YJ (2012b) Deterministic method of floor rock permeability tensor of mining over confined water and application in numerical simulation. paper presented at the international conference on civil, architectural and hydraulic engineering (ICCAHE 2012b), Zhangjiajie, PEOPLES R CHINA, Aug 10–12 |
[82] | Lu YL, Wang LG (2015) Numerical simulation of mining-induced fracture evolution and water flow in coal seam floor above a confined aquifer. Comput Geotech 67:157–171 |
[83] | Lu XL, Liu QS, Wu CY, Zhao J (2009) Hydro-mechanical coupling analysis of mining effect around fault fractured zone. Rock Soil Mechnics 30:165–168 |
[84] | Lu YL, Elsworth D, Wang LG (2013) Microcrack-based coupled damage and flow modeling of fracturing evolution in permeable brittle rocks. Comput Geotech 49:226–244 |
[85] | Lu YL, Wu BZ, He MQ, Wang LG, Ma D, Huang Z (2020) Prediction of fracture evolution and groundwater inrush from karst collapse pillars in coal seam floors: a micromechanics-based stress-seepage-damage coupled modeling approach. Geofluids 2020:8830304 |
[86] | Ma D, Miao XX, Jiang GH, Bai HB, Chen ZQ (2014) An experimental investigation of permeability measurement of water flow in crushed rocks. Transp Porous Media 105:571–595 |
[87] | Ma D, Bai H, Wang Y (2015) Mechanical behavior of a coal seam penetrated by a karst collapse pillar: mining-induced groundwater inrush risk. Nat Hazards 75:2137–2151 |
[88] | Ma D, Bai HB, Miao XX, Pu H, Jiang BY, Chen ZQ (2016a) Compaction and seepage properties of crushed limestone particle mixture: an experimental investigation for Ordovician karst collapse pillar groundwater inrush. Environ Earth Sci 75:11 |
[89] | Ma D, Miao X, Bai H, Huang J, Pu H, Wu Y, Zhang G, Li J (2016b) Effect of mining on shear sidewall groundwater inrush hazard caused by seepage instability of the penetrated karst collapse pillar. Nat Hazards 82:73–93 |
[90] | Ma D, Miao X, Bai H, Pu H, Chen Z, Liu J, Huang Y, Zhang G, Zhang Q (2016c) Impact of particle transfer on flow properties of crushed mudstones. Environ Earth Sci 75:593 |
[91] | Ma D, Rezania M, Yu H-S, Bai H-B (2017a) Variations of hydraulic properties of granular sandstones during water inrush: effect of small particle migration. Eng Geol 217:61–70 |
[92] | Ma D, Zhou Z, Wu J, Li Q, Bai H (2017b) Grain size distribution effect on the hydraulic properties of disintegrated coal mixtures. Energies 10:612 |
[93] | Ma D, Cai X, Li Q, Duan H (2018a) In-Situ and numerical investigation of groundwater inrush hazard from grouted karst collapse pillar in longwall mining. Water 10:1187 |
[94] | Ma D, Cai X, Zhou Z, Li X (2018b) Experimental investigation on hydraulic properties of granular sandstone and mudstone mixtures. Geofluids 2018:9216578 |
[95] | Ma D, Duan H, Cai X, Li Z, Li Q, Zhang Q (2018c) A Global optimization-based method for the prediction of water inrush hazard from mining floor. Water 10:1618 |
[96] | Ma D, Duan H, Li X, Li Z, Zhou Z, Li T (2019a) Effects of seepage-induced erosion on nonlinear hydraulic properties of broken red sandstones. Tunn Undergr Space Technol 91:102993 |
[97] | Ma D, Duan H, Liu J, Li X, Zhou Z (2019b) The role of gangue on the mitigation of mining-induced hazards and environmental pollution: an experimental investigation. Sci Total Environ 664:436–448 |
[98] | Ma D, Duan H, Li W, Zhang J, Liu W, Zhou Z (2020a) Prediction of water inflow from fault by particle swarm optimization-based modified grey models. Environ Sci Pollut Res 27:42051–42063 |
[99] | Ma D, Duan H, Liu W, Ma X, Tao M (2020b) Water-sediment two-phase flow inrush hazard in rock fractures of overburden strata during coal mining. Mine Water Environ 39:308–319 |
[100] | Ma D, Duan H, Zhang J, Feng X, Huang Y (2021a) Experimental investigation of creep-erosion coupling mechanical properties of water inrush hazards in fault fracture rock masses. Chin J Rock Mech Eng 40:1751–1763 |
[101] | Ma D, Kong S, Li Z, Zhang Q, Wang Z, Zhou Z (2021b) Effect of wetting-drying cycle on hydraulic and mechanical properties of cemented paste backfill of the recycled solid wastes. Chemosphere 282:131163 |
[102] | Ma D, Zhang J, Duan H, Huang Y, Li M, Sun Q, Zhou N (2021c) Reutilization of gangue wastes in underground backfilling mining: overburden aquifer protection. Chemosphere 264:128400 |
[103] | Ma D, Duan H, Zhang J (2022a) Solid grain migration on hydraulic properties of fault rocks in underground mining tunnel: radial seepage experiments and verification of permeability prediction. Tunn Undergr Space Technol 126:104525 |
[104] | Ma D, Duan H, Zhang J, Liu X, Li Z (2022b) Numerical simulation of water-silt inrush hazard of fault rock: a three-phase flow model. Rock Mech Rock Eng. https://doi.org/10.1007/s00603-022-02878-9 |
[105] | Ma D, Hou W, Zhang J, Wang J, Li Z, Du F (2022c) Radial seepage-axial stress characteristics of hollow rock sample and seepage mutation mechanism of roadway surrounding rock. J China Coal Soc 47:1180–1195 |
[106] | Meng Z, Shi X, Li G (2016) Deformation, failure and permeability of coal-bearing strata during longwall mining. Eng Geol 208:69–80 |
[107] | Mu W, Wu X, Deng R, Hao Q, Qian C (2020) Mechanism of water inrush through fault zones using a coupled fluid-solid numerical model: a case study in the beiyangzhuang coal mine, Northern China. Mine Water Environ 39:380–396 |
[108] | National Bureau of Statistics (2020) China statistical yearbook. National Bureau of statistics of the People’s Republic of China, Beijing |
[109] | National Mine Safety Administration (2021) Investigation Report on the "April 10" Major Water Inrush Accident at Fengyuan Coal Mine. http://yjgl.xinjiang.gov.cn/xjsafety/sgdccl/202201/51b9a476af664c6d9240dcb352c0a585.shtml |
[110] | Pang Y, Wang G, Ding Z (2014) Mechanical model of water inrush from coal seam floor based on triaxial seepage experiments. Int J Coal Sci Technol 1:428–433 |
[111] | Papamichos E, Vardoulakis I, Tronvoll J, Skjærstein A (2001) Volumetric sand production model and experiment. Int J Numer Anal Meth Geomech 25:789–808 |
[112] | Prancevic JP, Lamb MP, Fuller BM (2014) Incipient sediment motion across the river to debris-flow transition. Geology 42:191–194 |
[113] | Qiu P-T, Chen Z-Q, Pu H, Zhang L-Y (2019) Non-darcian seepage stability analysis of non-newtonian fluid. Therm Sci 23:1393–1399 |
[114] | Richards KS, Reddy KR (2010) True triaxial piping test apparatus for evaluation of piping potential in earth structures. Geotech Test J 33:83–95 |
[115] | Sedghi-Asl M, Rahimi H (2011) Adoption of manning’s equation to 1D non-Darcy flow problems. J Hydraul Res 49:814–817 |
[116] | Sedghi-Asl M, Rahimi H, Salehi R (2014) Non-darcy flow of water through a packed column test. Transp Porous Media 101:215–227 |
[117] | Shahbazi A, Chesnaux R, Saeidi A (2021) A new combined analytical-numerical method for evaluating the inflow rate into a tunnel excavated in a fractured rock mass. Eng Geol 283:106003 |
[118] | Shen JJ, Liu WT, Liu YJ (2012) Study on numerical simulation and safety analysis of floor water inrush above confined water in deep mine. In: Paper presented at the 2nd International Conference on Energy, environment and sustainable development (EESD 2012), Jilin, PEOPLES R CHINA, Oct 12-14 |
[119] | Shi W, Yang T (2020) A coupled nonlinear flow model for particle migration and seepage properties of water inrush through broken rock mass. Geofluids 2020:1230542 |
[120] | Shi W, Yang T, Liu H, Yang B, Yang X, zhou Y (2016) Non-Darcy flow model and numerical simulation for water-inrush in fractured rock mass. Chin J Rock Mech Eng 35:446–455 |
[121] | Shi W, Yang T, Liu H, Yang B (2018a) numerical modeling of non-darcy flow behavior of groundwater outburst through fault using the forchheimer equation. J Hydrol Eng 23:04017062 |
[122] | Shi ZM, Zheng HC, Yu SB, Peng M, Jiang T (2018b) Application of CFD-DEM to investigate seepage characteristics of landslide dam materials. Comput Geotech 101:23–33 |
[123] | Shi WH, Yang TH, Yu SB (2020) Experimental investigation on non-darcy flow behavior of granular limestone with different porosity. J Hydrol Eng. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001966 |
[124] | Souley M, Homand F, Pepa S, Hoxha D (2001) Damage-induced permeability changes in granite: a case example at the URL in Canada. Int J Rock Mech Min Sci 38:297–310 |
[125] | State Administration of Coal Mine Safety (2014) Analysis on China’s coal mine accidents in 2013. Accident Investigation Division of State Administration of Coal Mine Safety, Beijing |
[126] | Stavropoulou M, Papanastasiou P, Vardoulakis I (1998) Coupled wellbore erosion and stability analysis. Int J Numer Anal Meth Geomech 22:749–769 |
[127] | Sun W, Zhou W, Jiao J (2016) Hydrogeological classification and water inrush accidents in China’s coal mines. Mine Water Environ 35:214–220 |
[128] | Sun W, Xue Y, Li T, Liu W (2019) Multi-field coupling of water inrush channel formation in a deep mine with a buried fault. Mine Water Environ 38:528–535 |
[129] | Tang J, Bai H, Yao B, Wu Y (2011) Theoretical analysis on water-inrush mechanism of concealed collapse pillars in floor. Min Sci Technol 21:57–60 |
[130] | Terzaghi K (1923) Die berechnung der durchlassigkeitsziffer des tones aus dem verlauf der hydrodynamischen spannungserscheinungen. Sitzungsberichte, Akademie Der Wissenschaften 132:105–124 |
[131] | Tomlinson SS, Vaid YP (2000) Seepage forces and confining pressure effects on piping erosion. Can Geotech J 37:1–13 |
[132] | Vardoulakis I, Stavropoulou M, Papanastasiou P (1996) Hydro-mechanical aspects of the sand production problem. Transp Porous Media 22:225–244 |
[133] | Veerapaneni S, Wiesner MR (1996) Hydrodynamics of fractal aggregates with radially varying permeability. J Colloid Interface Sci 177:45–57 |
[134] | Wang L, Kong H (2018) Variation characteristics of mass-loss rate in dynamic seepage system of the broken rocks. Geofluids 2018:7137601 |
[135] | Wang JA, Park HD (2002) Fluid permeability of sedimentary rocks in a complete stress-strain process. Eng Geol 63:291–300 |
[136] | Wang L, Chen Z, Kong H (2017) An experimental investigation for seepage-induced instability of confined broken mudstones with consideration of mass loss. Geofluids 2017:3057910 |
[137] | Wang L, Kong H, Qiu C, Xu B (2019a) Time-varying characteristics on migration and loss of fine particles in fractured mudstone under water flow scour. Arab J Geosci 12:159 |
[138] | Wang Y, Geng F, Yang S, Jing H, Meng B (2019b) Numerical simulation of particle migration from crushed sandstones during groundwater inrush. J Hazard Mater 362:327–335 |
[139] | Wang J, Zhang Y, Qin Z, Song S, Lin P (2020a) Analysis method of water inrush for tunnels with damaged water-resisting rock mass based on finite element method-smooth particle hydrodynamics coupling. Comput Geotech 126:103725 |
[140] | Wang L, Kong H, Karakus M (2020b) Hazard assessment of groundwater inrush in crushed rock mass: An experimental investigation of mass-loss-induced change of fluid flow behavior. Eng Geol 277:105812 |
[141] | Wang L, Kong H, Yin Y, Xu B, Zhang D (2020c) Strain-based non-Darcy permeability properties in crushed rock accompanying mass loss. Arab J Geosci 13:406 |
[142] | Wang JN, Liu WT, Shen JJ (2021) Investigation on the fracturing permeability characteristics of cracked specimens and the formation mechanism of inrush channel from floor. Shock Vib 2021:8858733 |
[143] | Wood DA, Hazra B (2017) Characterization of organic-rich shales for petroleum exploration & exploitation: a review-part 3: applied geomechanics, petrophysics and reservoir modeling. J Earth Sci 28:779–803 |
[144] | Wu Q, Liu Y, Liu D, Zhou W (2011a) Prediction of floor water inrush: the application of GIS-based AHP vulnerable index method to donghuantuo coal mine. China Rock Mech Rock Eng 44:591 |
[145] | Wu Q, Xing LT, Ye CH, Liu YZ (2011b) The influences of coal mining on the large karst springs in North China. Environ Earth Sci 64:1513–1523 |
[146] | Wu GJ, Chen WZ, Yuan JQ, Yang DS, Bian HB (2017a) Formation mechanisms of water inrush and mud burst in a migmatite tunnel: a case study in China. J Mt Sci 14:188–195 |
[147] | Wu Q, Guo X, Shen J, Xu S, Liu S, Zeng Y (2017b) Risk assessment of water inrush from aquifers underlying the gushuyuan coal mine, China. Mine Water Environ 36:96–103 |
[148] | Wu Q, Zhao D, Wang Y, Shen J, Mu W, Liu H (2017c) Method for assessing coal-floor water-inrush risk based on the variable-weight model and unascertained measure theory. Hydrogeol J 25:2089–2103 |
[149] | Wu J, Han G, Feng M, Kong H, Yu B, Wang L, Gao Y (2019a) Mass-loss effects on the flow behavior in broken argillaceous red sandstone with different particle-size distributions. CR Mec 347:504–523 |
[150] | Wu L, Bai H, Yuan C, Wu G, Xu C, Du Y (2019b) A Water-rock coupled model for fault water inrush: a case study in xiaochang coal mine. China Adv Civ Eng 2019:9343917 |
[151] | Wu Q, Mu W, Xing Y, Qian C, Shen J, Wang Y, Zhao D (2019c) Source discrimination of mine water inrush using multiple methods: a case study from the Beiyangzhuang Mine, Northern China. Bull Eng Geol Environ 78:469–482 |
[152] | Wu J, Jia C, Zhang LW (2021) expansion of water inrush channel by water erosion and seepage force. Int J Geomech 21:04021121 |
[153] | Xiao W, Zhang D, Wang X (2020) Experimental study on progressive failure process and permeability characteristics of red sandstone under seepage pressure. Eng Geol 265:105406 |
[154] | Xu WY, Wang RB, Wang W, Zhang ZL, Zhang JC, Wang WY (2012) Creep properties and permeability evolution in triaxial rheological tests of hard rock in dam foundation. J Cent South Univ 19:252–261 |
[155] | Xu D, Peng S, Xiang S, Liang M, Liu W (2016) The Effects of caving of a coal mine’s immediate roof on floor strata failure and water inrush. Mine Water Environ 35:337–349 |
[156] | Xue Y, Dang FN, Li RJ, Fan LM, Hao Q, Mu L, Xia YY (2018a) Seepage-stress-damage coupled model of coal under geo-stress influence. Comput Mater Continua 54:43–59 |
[157] | Xue Y, Teng T, Zhu L, He M, Liu F (2018b) Evaluation of the non-darcy effect of water inrush from karst collapse columns by means of a nonlinear flow model. Water 10:1234 |
[158] | Xue Y, Liu Y, Dang FN, Liu J, Ma ZY, Zhu L, Yang HW (2019) Assessment of the nonlinear flow characteristic of water inrush based on the brinkman and forchheimer seepage model. Water 11:855 |
[159] | Xue Y, Kong F, Li S, Qiu D, Su M, Li Z, Zhou B (2021) Water and mud inrush hazard in underground engineering: genesis, evolution and prevention. Tunn Undergr Space Technol 114:103987 |
[160] | Yang TH, Liu J, Zhu WC, Elsworth D, Tham LG, Tang CA (2007) A coupled flow-stress-damage model for groundwater outbursts from an underlying aquifer into mining excavations. Int J Rock Mech Min Sci 44:87–97 |
[161] | Yang TH, Jia P, Shi WH, Wang P, Liu HL, Yu QL (2014) Seepage-stress coupled analysis on anisotropic characteristics of the fractured rock mass around roadway. Tunn Undergr Space Technol 43:11–19 |
[162] | Yang T, Shi W, Li S, Yang X, Yang B (2016) State of the art and trends of water-inrush mechanism of nonlinear flow in fractured rock mass. J China Coal Soc 41:1598–1609 |
[163] | Yang T, Shi W, Liu H, Yang B, Yang X, Liu Z (2017) A non-linear flow model based on flow translation and its application in the mechanism analysis of water inrush through collapse pillar. J China Coal Soc 42:315–321 |
[164] | Yang B, Yang T, Xu Z, Liu H, Shi W, Yang X (2018a) Numerical simulation of the free surface and water inflow of a slope, considering the nonlinear flow properties of gravel layers: a case study. R Soc Open Scie 5:172109 |
[165] | Yang W, Fang Z, Yang X, Shi S, Wang J, Wang H, Bu L, Li L, Zhou Z, Li X (2018b) Experimental study of influence of karst aquifer on the law of water inrush in tunnels. Water 10:1211 |
[166] | Yang Y, Yue J, Li J, Yang Z (2018c) Mine water inrush sources online discrimination model using fluorescence spectrum and CNN. IEEE Access 6:47828–47835 |
[167] | Yang W, Jin L, Zhang X (2019) Simulation test on mixed water and sand inrush disaster induced by mining under the thin bedrock. J Loss Prev Process Ind 57:1–6 |
[168] | Yang X, Liu YJ, Xue M, Yang TH, Yang B (2020) Experimental investigation of water-sand mixed fluid initiation and migration in porous skeleton during water and sand inrush. Geofluids 2020:8679861 |
[169] | Yang B, Yang T, Hu J (2021) Numerical simulation of non-darcy flow caused by cross-fracture water inrush, considering particle loss. Mine Water Environ 40:466–478 |
[170] | Yang T, Chen S, Zhu W, Meng Z, Gao Y (2008) Water inrush mechanism in mines and nonlinear flow model for fractured rocks. Chinese Journal of Rock Mechanics and Engineering:1411–1416 |
[171] | Yao B, Chen Z, Wei J, Bai T, Liu S (2018a) Predicting erosion-induced water inrush of karst collapse pillars using inverse velocity theory. Geofluids 2018:2090584 |
[172] | Yao H, Zhang Z, Li D (2018b) Experimental study on the permeability characteristics of sandstone in different chemical solutions. KSCE J Civ Eng 22:3271–3277 |
[173] | Yin S, Zhang J, Liu D (2015) A study of mine water inrushes by measurements of in situ stress and rock failures. Nat Hazards 79:1961–1979 |
[174] | Yin H, Lefticariu L, Wei J, Guo J, Li Z, Guan Y (2016) In situ dynamic monitoring of stress revolution with time and space under coal seam floor during longwall mining. Environ Earth Sci 75:1249 |
[175] | Yu H, Zhu S, Xie H, Hou J (2020) Numerical simulation of water inrush in fault zone considering seepage paths. Nat Hazards 104:1763–1779 |
[176] | Yu HT, Zhu SY, Wang XH (2021) Research on groundwater seepage through fault zones in coal mines. Hydrogeol J 29:1647–1656 |
[177] | Yuan RF, Li YQ, Jiao ZH (2015) Movement of Overburden Stratum and Damage Evolution of Floor Stratum during Coal Mining above Aquifers. In: 7th World Congress on Particle Technology (WCPT), Beijing, PEOPLES R CHINA, May 19–22 2014. Procedia Engineering. Elsevier Science Bv, AMSTERDAM, pp 1857–1866. doi:https://doi.org/10.1016/j.proeng.2015.01.324 |
[178] | Zhang Y (2021) Mechanism of water inrush of a deep mining floor based on coupled mining pressure and confined pressure. Mine Water Environ 40:366–377 |
[179] | Zhang J, Peng S (2005) Water inrush and environmental impact of shallow seam mining. Environ Geol 48:1068–1076 |
[180] | Zhang J, Shen B (2004) Coal mining under aquifers in China: a case study. Int J Rock Mech Min Sci 41:629–639 |
[181] | Zhang Y, Yang L (2021) A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model. Nat Hazards 105:2027–2043 |
[182] | Zhang HQ, He YN, Tang CA, Ahmad B, Han LJ (2009) Application of an improved flow-stress-damage model to the criticality assessment of water inrush in a mine: a case study. Rock Mech Rock Eng 42:911–930 |
[183] | Zhang R, Jiang ZQ, Zhou HY, Yang CW, Xiao SJ (2014) Groundwater outbursts from faults above a confined aquifer in the coal mining. Nat Hazards 71:1861–1872 |
[184] | Zhang B, Bai H, Zhang K (2016) Seepage characteristics of collapse column fillings. Int J Min Sci Technol 26:333–338 |
[185] | Zhang S, Guo W, Li Y (2017a) Experimental simulation of water-inrush disaster from the floor of mine and its mechanism investigation. Arab J Geosci 10:503 |
[186] | Zhang S, Guo W, Li Y, Sun W, Yin D (2017b) Experimental simulation of fault water inrush channel evolution in a coal mine floor. Mine Water Environ 36:443–451 |
[187] | Zhang W, Dai BB, Liu Z, Zhou CY (2017c) A pore-scale numerical model for non-Darcy fluid flow through rough-walled fractures. Comput Geotech 87:139–148 |
[188] | Zhang G, Wang H, Yan S, Jia C, Song X (2020a) Simulated experiment of water-sand inrush across overlying strata fissures caused by mining. Geofluids. https://doi.org/10.1155/2020/6614213 |
[189] | Zhang TJ, Pang MK, Zhang XF, Pan HY (2020c) Determining the seepage stability of fractured coal rock in the karst collapse pillar. Adv Civ Eng. https://doi.org/10.1155/2020/1909564 |
[190] | Zhang XB, Chen HH, Yao C, Yang JH, Jiang SH, Jiang QH, Zhou CB (2020d) Seepage characteristics of triaxial compression-induced fractured rocks under varying confining pressures. Int J Geomech. https://doi.org/10.1061/(ASCE)GM.1943-5622.0001796 |
[191] | Zhang BY, He QY, Lin ZB, Li ZH (2021a) Experimental study on the flow behaviour of water-sand mixtures in fractured rock specimens. Int J Min Sci Technol 31:377–385 |
[192] | Zhang T, Pang M, Ji X, Pan H (2021b) Dynamic Response of a non-darcian seepage system in the broken coal of a karst collapse pillar. Mine Water Environ 40:713–721 |
[193] | Zhang Q, Chen W, Yuan J, Liu Q, Rong C (2020) Experimental study on evolution characteristics of water and mud inrush in fault fractured zone. Rock Soil Mech 41(6):1–13 |
[194] | Zhang YJ (2014) Study on failure characteristic simulation of seam floor for coal mining above confined aquifer based on fluid-solid coupling theory.In: Paper presented at the 2nd International Conference on renewable energy and environmental technology (REET), Dalian, PEOPLES R CHINA, Aug 19-20 |
[195] | Zhao YL, Cao P, Wang WJ, Wan W, Liu YK (2009) Viscoelasto-plastic rheological experiment under circular increment step load and unload and nonlinear creep model of soft rocks. J Cent South Univ Technol 16:488–494 |
[196] | Zhao Y, Zhang S, Wan W, Wang W, Cai L, Peng Q (2014) Solid-fluid coupling-strength reduction method for karst cave water inrush before roadway based on flow state conversion theory. Chin J Rock Mech Eng 33:1852–1862 |
[197] | Zhao Y, Wu Q, Chen T, Zhang X, Du Y, Yao Y (2020) Location and flux discrimination of water inrush using its spreading process in underground coal mine. Saf Sci 124:104566 |
[198] | Zhao J, Konietzky H, Herbst M, Morgenstern R (2021a) Numerical simulation of flooding induced uplift for abandoned coal mines: simulation schemes and parameter sensitivity. Int J Coal Sci Technol 8:1238–1249 |
[199] | Zhao J, Liu W, Shen J, Xu M, Sasmito AP (2021b) Fractal treelike fracture network model for hydraulically and mechanically induced dynamic changes in the non-darcy coefficient during the process of mine water inrush from collapsed columns. Fractals 29:2150218 |
[200] | Zhao Z, Liu H, Lyu X, Wang L, Tian Z, Sun J (2021c) Experimental study on the damage and deterioration behaviour of deep soft rock under water-rock interaction. Geofluids 2021:8811110 |
[201] | Zhou JQ, Hu SH, Fang S, Chen YF, Zhou CB (2015) Nonlinear flow behavior at low reynolds numbers through rough-walled fractures subjected to normal compressive loading. Int J Rock Mech Min Sci 80:202–218 |
[202] | Zhou JQ, Hu SH, Chen YF, Wang M, Zhou CB (2016) The friction factor in the forchheimer equation for rock fractures. Rock Mech Rock Eng 49:3055–3068 |
[203] | Zhou Z, Cai X, Ma D, Chen L, Wang S, Tan L (2018) Dynamic tensile properties of sandstone subjected to wetting and drying cycles. Constr Build Mater 182:215–232 |
[204] | Zhou Z, Cai X, Ma D, Du X, Chen L, Wang H, Zang H (2019) Water saturation effects on dynamic fracture behavior of sandstone. Int J Rock Mech Min Sci 114:46–61 |
[205] | Zhou C, Yu L, You F, Liu Z, Liang Y, Zhang L (2020) Coupled seepage and stress model and experiment verification for creep behavior of soft rock. Int J Geomech 20:04020146 |
[206] | Zhu YWS, Zhang T (2018) Permeability of the coal seam floor rock mass in a deep mine based on in-situ water injection tests. Mine Water Environ 37:724–733 |
[207] | Zhu B, Wu Q, Yang J, Cui T (2014) Study of pore pressure change during mining and its application on water inrush prevention: a numerical simulation case in Zhaogezhuang coalmine, China. Environ Earth Sci 71:2115–2132 |
31 January 2022
21 June 2022
https://doi.org/10.1007/s40789-022-00525-w