A Numerical Method for Evaluating the Collapse of High-Steep Scarp Slopes Based on the Bonded Block Model–Discrete Fracture Network Model
Abstract
:1. Introduction
2. BBM–DFN Coupling Discrete Element Analysis Method for the Stability of High-Steep Scarp Slopes
2.1. BBM–DFN Model for High-Steep Scarp Slopes
2.1.1. BBM Model
2.1.2. DFN Model
2.1.3. Coupling of the BBM and DFN Models
2.2. Strength Reduction Methods for Collapse Based on the BBM–DFN Model for High-Steep Scarp Slopes
- (1)
- In the reduction method considering the internal friction angle and cohesion of mesoscopic joints between blocks in the BBM–DFN model (CF-RM), failure of a high-steep scarp is mainly shown as shear failure along the joint planes in rock. Khan Muhammad Israr et al. [42] suggested considering the trend of safety factor variation with changes in shear strength when analyzing slope stability.
- (2)
- The reduction method considering internal friction angle, cohesion, and tensile strength of mesoscopic joints between blocks in the BBM–DFN model (CFT-RM) holds that failure of rock in actual high-steep scarp engineering is compression-shear combined failure, so the tensile strength parameter of joints is incorporated into the reduction parameters. Pantelidis Lysandros et al. [43] found that tensile strength has a significant impact on slope stability under three-dimensional conditions. Dowon Park [44] obtained the relationship curve between tensile strength and slope stability factor.
- (3)
- The reduction method for the internal friction angle, cohesion, and deformation parameters of mesoscopic joints between blocks in the BBM–DFN model (CFD-RM) considers not only strength parameters, but also deformation parameters of the high-steep scarp degrade, so the deformation parameters are incorporated in the reduction parameters. Yu Cheng Zhang et al. [45] proposed that the main result is the safety factor of the slope, but in the calculation process, the nonlinearity of the soil was not actually considered, making it difficult to obtain a realistic deformation field. However, using the elastic-plastic strength reduction method based on the deformation modulus can yield a more realistic deformation field.
2.2.1. CF-RM
2.2.2. CFT-RM
2.2.3. CFD-RM
2.3. Failure and Convergence Criteria Based on the BBM–DFN Model of High-Steep Scarp Slopes
3. Establishment of the BBM–DFN Model for the High-Steep Rocky Scarp Slope on the Left Bank of the Dam Site of the Huangzangsi Water Conservancy Project and Simulation Schemes
3.1. Project Overview
3.2. Establishment of a Planar BBM Model on the High-Steep Rocky Scarp Slope
3.3. Establishment of the BBM–DFN Model for the High-Steep Rocky Scarp Slope
3.4. Parameter Selection of the BBM–DFN Coupling Model for the High-Steep Scarp Slope
4. Stability Study of the High-Steep Scarp Slope on the Left Bank of Huangzang Temple Based on the BBM Planar Model
5. Factors Influencing the Stability of the High-Steep Scarp Slope Based on the BBM–DFN Model
5.1. Coupling Effects of the Internal Friction Angle and Cohesion of Mesoscopic Joints between Blocks in the BBM–DFN Model on the Stability of the High-Steep Scarp
5.2. Coupling Effects of the Internal Friction Angle, Cohesion, and Tensile Strength of Mesoscopic Joints between Blocks in the BBM–DFN Model on the Stability of the High-Steep Scarp
5.3. Coupling Effects of the Internal Friction Angle, Cohesion, and Deformation Parameters of Mesoscopic Joints between Blocks in the BBM–DFN Model on the Stability of the High-Steep Scarp Slope
6. Discussion
7. Conclusions
- (1)
- In view of the collapse and failure situation of high-steep scarp slopes and the nature of the coupled BBM–DFN model, comprehensive consideration of abrupt changes in displacement at monitoring points, abrupt ascent of curves of the number of cracks, and non-convergence of numerical simulation are taken as the collapse criteria. In addition, the gradual flattening of the CV curve for displacement at monitoring points to the horizontal direction as the discriminant for convergence of calculation.
- (2)
- In the CF-RM, failure of the high-steep scarp slope mainly entails fracture of rock bridges at the four dominant joints due to a decrease in bonding parameters and falling of several rock blocks from the free face on the top of the slope because of the decreased cohesion of the rock. In the CFT-RM, rock bridges are mainly fractured at the four dominant joints and at the intersection of multiple dominant joints. At the same time, many rock blocks on the top of the scarp slope fall due to the decreased cohesion between them and the intact rock. In the CFD-RM, fracture of rock bridges is only seen on two longitudinal dominant joint planes, and only a few rock blocks fall from the free face. Construction at dominant joints, especially at the intersection of dominant joints, should be paid heed.
- (3)
- In the CF-RM, CFT-RM, and CFD-RM, the safety is 2.24, 1.85, and 2.03, respectively. After comparing the three aforementioned reduction methods, the safety factor of the high-steep scarp slope is set to 1.85 for the sake of safety. Considering the fracture behaviors in the CFT-RM, displacement monitoring devices should be installed, and collapse-prevention measures should be implemented at the top of the scarp slope to ensure safety of construction.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Cheng, Q.; Zhang, Z.; Huang, R. Research status and development trend of high−speed and long−range avalanche dynamics. Mt. Res. 2007, 1, 72–84. [Google Scholar]
- Li, X.; Xie, Q.; Liu, X. Technical Report on Investigation of “7.13” Dangerous Rock Collapse Accident in Hekou Granite Mine of Cenxi Tianma Stone Co., Ltd.; Tianma Stone Industry Co., Ltd.: Cenxi, China, 2019. [Google Scholar]
- Wang, Z.; Yan, E.; Liu, J.; Ren, B. Failure characteristics and formation mechanism analysis of reverse dip rock slope in Honglianchi iron mine, Hefeng, Hubei Province. Chin. J. Geol. Hazard Control. 2016, 27, 7–13. [Google Scholar]
- Li, Y.; Tan, K.; Wang, X. Characteristics and Genesis of Jiguanling Rock Collapse in Wujiang River. Geol. China 1994, 7, 25–27. [Google Scholar]
- Yin, Y.; Liu, C.; Chen, H.; Ren, J.; Zhu, C. Study on the catastrophic landslide in Zhaojiagou, Zhenxiong, Yunnan on 11 January 2013. J. Eng. Geol. 2013, 21, 6–15. [Google Scholar]
- Sun, Y.; Yao, B. Study on the mechanism of mountain collapse in Yanchihe phosphate mine. Hydrogeol. Eng. Geol. 1983, 1, 1–7. [Google Scholar]
- Liu, C.Z.; Guo, Q.; Chen, H.Q. Preliminary analysis on the causes of dangerous rock collapse in Yanjiaozhai, Nayong County, Guizhou Province. Chin. J. Geol. Hazard Control. 2004, 15, 123+144. [Google Scholar]
- Fang, C.; Wang, J.; Li, Y.; Jia, M. Research on Numerical Simulation of Natural Caving Method Based on PFC2D−DFN. Gold Sci. Technol. 2019, 27, 189–198. [Google Scholar]
- Bolla, A.; Paronuzzi, P. Numerical Investigation of the Pre-collapse Behavior and Internal Damage of an Unstable Rock Slope. Rock Mech. Rock Eng. 2019, 53, 2279–2300. [Google Scholar] [CrossRef]
- Cui, F.P.; Hu, R.L.; Yin, Y.P.; Xu, Q.; Zhang, M. Discrete element analysis of collapsing and sliding response of slope triggered by time difference coupling effects of pands seismic waves—Taking tangjiashan landslide in beichuan county for example. Chin. J. Rock Mech. Eng. 2010, 29, 319–327. [Google Scholar]
- Chen, M.; Lu, W.; Yan, P.; Zhou, C. New method for dynamic stability analysis of rock slope under blasting vibration based on equivalent acceleration and Sarma method. Can. Geotech. J. 2013, 51, 441–448. [Google Scholar] [CrossRef]
- Borrelli, L.; Greco, R.; Gullà, G. Weathering grade of rock masses as a predisposing factor to slope instabilities: Reconnaissance and control procedures. Geomorphology 2006, 87, 158–175. [Google Scholar] [CrossRef]
- Xu, J.; Li, K.; Chen, P.; Liu, Y. Simulation of rockfall at Mingshan in Fengdu by discrete element method. Rock Soil Mech. 2004, 11, 1819–1822. [Google Scholar]
- Oliveira, S.N.; Filho RC, O.; Marton, E.; Silva, C. Correlation between rainfall and landslides in Nova Friburgo, Rio de Janeiro-Brazil: A case study. Environ. Earth Sci. 2016, 75, 1358. [Google Scholar] [CrossRef]
- Ha, N.D.; Satoshi, G.; Shinro, A.; Miyagi, T.; Hayashi, K.; Watanabe, O. Torrent rainfall-induced large-scale karst limestone slope collapse at Khanh waterfall, Hoa Binh Province, Vietnam. Geoenviron. Disasters 2022, 9, 4. [Google Scholar]
- Griffiths, D.V.; Lane, P.A. Slope stability analysis by finite element. Geotechnique 1999, 49, 387–403. [Google Scholar] [CrossRef]
- Morteza, N.; Hussein, G.; Danial, G.; Javanmardi, Y. Explicit finite element analysis of slope stability by strength reduction. Geomech. Eng. 2021, 26, 133–146. [Google Scholar]
- Wang, D.; Nian, Y.; Chen, Y. Three problems in slope stability analyses with finite element method. Rock Soil Mech. 2007, 11, 2309–2313+2318. [Google Scholar]
- Zhao, S.; Zheng, Y.; Zhang, Y. Study on slope failure criterion in strength reduction finite element method. Rock Soil Mech. 2005, 2, 332–336. [Google Scholar]
- Manzari, M.; Tour, M.A. Significance of soil dilatancy in slope stability analysis. J. Geotech. Geoenviron. Eng. 2000, 126, 75–80. [Google Scholar] [CrossRef]
- Luan, M.; Wu, Y.; Nian, Y. Plastic zone criterion of slope instability in strength reduction finite element method and its application. J. Disaster Prev. Mitig. Eng. 2003, 03, 1–8. [Google Scholar]
- Acharya, M.; Timalsina, A.; Paudel, U. Shear Strength Reduction Analysis of Slope by Numerical Modelling Based on Finite Element Method. Am. J. Sci. Eng. Technol. 2023, 8, 125–132. [Google Scholar] [CrossRef]
- Bai, Y.; Huang, R.; Ju, N.; Zhao, J.; Huo, Y. 3DEC stability analysis of high and steep rock slope. J. Eng. Geol. 2008, 16, 592–597. [Google Scholar]
- Wang, T.; Sheng, Q.; Xiong, J. Research on numerical simulation of natural caving method based on particle flow method. Chin. J. Rock Mech. Eng. 2007, 26, 4202–4207. [Google Scholar]
- Luirei, K.; Mehta, M.; Iqpal, A.; Nazir, S.; Kothyari, G.C. Factors influencing the slope instability of the Mussoorie-Bhitarli area, Garhwal Himalaya. Geosci. J. 2023, 27, 337–350. [Google Scholar] [CrossRef]
- Bi, Y.; He, S.; Du, Y.; Sun, X.; Li, X. Effects of the configuration of a baffle–avalanche wall system on rock avalanches in Tibet Zhangmu: Discrete element analysis. Bull. Eng. Geol. Environ. 2019, 78, 2267–2282. [Google Scholar] [CrossRef]
- Salavati, M.; Hosseinitoudeshki, V.; Gheidari, N.H.M. Stability Evaluation of High-steep Rock Slope by Microseismic. J. Prog. Civ. Eng. 2020, 218, 22–38. [Google Scholar]
- Marie, H.S. Study on the influence of slope height and angle on the factor of safety and shape of failure of slopes based on strength reduction method of analysis. Beni-Suef Univ. J. Basic Appl. Sci. 2021, 10, 31. [Google Scholar]
- Zhang, L.; Cong, Y.; Meng, F.; Wang, Z.; Zhang, P.; Gao, S. Energy evolution analysis and failure criteria for rock under different stress paths. Acta Geotech. 2021, 16, 569–580. [Google Scholar] [CrossRef]
- Zhang, L.; Zhang, D.; Wang, Z.; Cong, Y.; Wang, X. Constructing a three-dimensional creep model for rocks and soils based on memory-dependent derivatives: A theoretical and experimental study. Comput. Geotech. 2023, 159, 105366. [Google Scholar] [CrossRef]
- Zhang, L.; Chao, W.; Liu, Z.; Cong, Y.; Wang, Z. Crack propagation characteristics during progressive failure of circular tunnels and the early warning thereof based on multi-sensor data fusion. Geomech. Geophys. Geo-Energy Geo-Resour. 2022, 8, 172. [Google Scholar] [CrossRef]
- Liming, Z.; Xiaoshan, W.; Yu, C.; Wang, Z.; Liu, J. Transfer mechanism and criteria for static–dynamic failure of granite under true triaxial unloading test. Geomech. Geophys. Geo-Energy Geo-Resour. 2023, 9, 104. [Google Scholar]
- Xu, P.Y.; Zhang, L.M.; Zhang, J.Y.; Wang, J.X.; Zhang, S.L.; Zhang, P.C. Progressive failure characteristics and failure symptoms of straight-walled arched sandstone tunnels. Acadlore Trans. Geosci. 2023, 2, 46–57. [Google Scholar] [CrossRef]
- Hongjian, L.; Pan, W. Stability analysis of gentle dip thick ore body mining based on the integration of SURPAC-FLAC3D. Acadlore Trans. Geosci. 2023, 2, 58–69. [Google Scholar]
- Chen, M.; Zhang, Y.; Zang, C.; Li, Q.; Jiang, B. Experimental Investigation on Pressure Relief Mechanism of Specimens with Prefabricated Reaming Boreholes. Rock Mech. Rock Eng. 2023, 56, 2949–2966. [Google Scholar] [CrossRef]
- Chen, M.; Zang, C.; Ding, Z.; Zhou, G.; Jiang, B.; Zhang, G.; Zhang, C. Effects of confining pressure on deformation failure behavior of jointed rock. J. Cent. South Univ. 2022, 29, 1305–1319. [Google Scholar] [CrossRef]
- Chen, M.; Yang, L.; Zang, C.; Chen, Y.; Qi, Z.; Kong, B. Study on mechanical behavior and failure mechanism of specimens with single joint subjected to dynamic cyclical loading. Fatigue Fract. Eng. Mater. Struct. 2023, 46, 2878–2894. [Google Scholar] [CrossRef]
- Liu, Z.; Liu, K.; Chen, X.; Ma, Z.; Lv, R.; Wei, C.; Ma, K. Deep-sea rock mechanics and mining technology: State of the art and perspectives. Int. J. Min. Sci. Technol. 2023, 33, 1083–1115. [Google Scholar] [CrossRef]
- Lin, F.; Huang, R. Discussion on the limit equilibrium method of slope stability. J. Geol. Hazards Environ. Preserv. 1997, 4, 9–13. [Google Scholar]
- Lu, Y.; Wang, S. The application of arc strip method in the stability of rock slope. J. Xi’an Polytech. Univ. 2010, 24, 619–622. [Google Scholar]
- Zheng, Y.; Zhao, S.; Zhang, L. Using finite element strength reduction method to analyze slope stability. Strateg. Study CAE 2002, 10, 57–61+78. [Google Scholar]
- Israr, M.K.; Shuhong, W. Slope Stability Analysis to Correlate Shear Strength with Slope Angle and Shear Stress by Considering Saturated and Unsaturated Seismic Conditions. Appl. Sci. 2021, 11, 4568. [Google Scholar]
- Lysandros, P.; Elias, G.; Paraskevas, K.G. Stability assessment of soil slopes in three dimensions: The effect of the width of failure and of tension crack. Geomech. Eng. 2020, 22, 319–328. [Google Scholar]
- Park, D.; Michalowski, L.R. Three-dimensional stability analysis of slopes in hard soil/soft rock with tensile strength cut-off. Eng. Geol. 2017, 229, 73–84. [Google Scholar] [CrossRef]
- Zhang, Y.C.; Yang, G.H.; Hu, H.Y.; Liu, P. Method to Identify the Critical Slip Surface of Side Slope via the Deformation Field and Stress Field Calculated through Deformation Modulus Elastoplasticity Strength Reduction Method. Appl. Mech. Mater. 2011, 90–93, 3–11. [Google Scholar] [CrossRef]
- Wu, Z.; Hu, Y.; Yang, H. Research Progress of Strength Reduction Method in Analysis of Slope Stability. J. Shaoxing Univ. Nat. Sci. 2019, 39, 28–37+2. [Google Scholar]
- Yuan, W.; Li, X.; Bai, B.; Shi, L. A strength reduction method considering tensile failure. Chin. J. Rock Mech. Eng. 2014, 33, 3009–3014. [Google Scholar]
- Zheng, H.; Li, C.; Li, C.; Ge, X. Finite element method for solving the factor of safety. Chin. J. Geotech. Eng. 2002, 5, 626–628. [Google Scholar]
- Wang, H.; Gao, Y.; Jin, A.; Zhang, K. Determination of stiffness parameters of jointed rock masses with 3DEC simulations. Chin. J. Rock Mech. Eng. 2014, 33, 2894–2900. [Google Scholar]
- Wu, C.; Chen, Z. Stability Analysis of Triangular Body of High Rock Slope Based on 3DEC. J. Gansu Sci. 2019, 31, 24–29. [Google Scholar]
- Chen, N. Experimental Research on Anisotropic Mechanical Behavior of Weak Rocks with Lamellar Fabric; School of Architecture and Civil Engineering of Hubei University of Technology: Wuhan, China, 2020; pp. 1–56. [Google Scholar]
- Wang, Z.; Ma, S.; Yuan, H.; Yuan, H.; Liu, X.; Zhai, R. Stability evaluation and reinforcement effect analysis of mica quartz schist slope on Xiasha expressway. Subgrade Eng. 2018, 238–243. [Google Scholar] [CrossRef]
Location | Lithology | Slope Height/m | Slope Angle/° | Joint Development | Causes | Hazard |
---|---|---|---|---|---|---|
Cenxi Tianma Stone Industry Co.,Ltd., Guangxi Province, China [2] | granite | 175 | 60 | Development of two dominant joint sets | Reduction in joint surface strength | 4 persons died and 1 person obtained minor injuries. |
Honglianchi Iron Mine in Hefeng, Hubei Province, China [3] | Micaceous shale | 100 | 60 | Development of three dominant joint sets | Karst dissolution, mining, and a rainstorm | Village roads were blocked by collapsed deposits over a length of 150 m |
Jiguanling in Wulong County, Chongqing Province, China [4] | Limestone | 200 | 60–70 | Development of two dominant joint sets | Rock properties | Destruction and sinking of 5 vessels, with over 20 casualties. |
Zhaojiagou Village, Zhenxiong County, Yunnan Province, China [5] | Sandstone | 100 | 50–80 | Development of three dominant joint sets | Persistent rainfall | 46 casualties, 63 houses were destroyed, and 500 mu of farmland was damaged |
Yanchihe phosphate mine in Yuan’an County, Hubei Province, China [6] | Dolomite | 125 | 80 | / | Deformation of above mountain due to phosphate ore mining | 307 died, and lots of equipment was damaged |
Zongling Town, Nayong County, Guizhou Province, China [7] | Limestone and Sandstone | 40 | 70 | Development of single dominant joint sets | Heavy rainfall and weathering processes | 39 people dead, 5 missing, and an additional 14 people injured. |
Minas Geras, Brazil | sedimentary rock | 20 | 90 | / | The rain causes the cohesion between the rocks and the internal friction angle decrease. | 7 persons dead, 20 missing and 32 injured |
Density/(kg/m3) | Bulk Modulus/GPa | Shear Modulus/Gpa | Tensile Strength/Mpa | Internal Friction Angle/° | Cohesion/Mpa | |
---|---|---|---|---|---|---|
Mechanical parameters of rock mass | 2.69 | 2.7 | 1.14 | 8.6 | 35 | 4.53 |
Normal Stiffness/GPa | Shear Stiffness/GPa | Tensile Strength/MPa | Internal Friction Angle/° | Cohesion/MPa | |
---|---|---|---|---|---|
Mechanical parameters for mesoscopic joints in BBM | 56 | 30 | 5 | 20 | 2 |
Mechanical parameters for joints in DFN | 56 | 30 | 0.09 | 20 | 0.21 |
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Sun, Z.; Qiu, S.; Yan, S.; Wang, Z. A Numerical Method for Evaluating the Collapse of High-Steep Scarp Slopes Based on the Bonded Block Model–Discrete Fracture Network Model. Sustainability 2023, 15, 15672. https://doi.org/10.3390/su152115672
Sun Z, Qiu S, Yan S, Wang Z. A Numerical Method for Evaluating the Collapse of High-Steep Scarp Slopes Based on the Bonded Block Model–Discrete Fracture Network Model. Sustainability. 2023; 15(21):15672. https://doi.org/10.3390/su152115672
Chicago/Turabian StyleSun, Zening, Shili Qiu, Siquan Yan, and Zaiquan Wang. 2023. "A Numerical Method for Evaluating the Collapse of High-Steep Scarp Slopes Based on the Bonded Block Model–Discrete Fracture Network Model" Sustainability 15, no. 21: 15672. https://doi.org/10.3390/su152115672
APA StyleSun, Z., Qiu, S., Yan, S., & Wang, Z. (2023). A Numerical Method for Evaluating the Collapse of High-Steep Scarp Slopes Based on the Bonded Block Model–Discrete Fracture Network Model. Sustainability, 15(21), 15672. https://doi.org/10.3390/su152115672