Influence of permeability on the stability of dual-structure landslide with different deposit-bedding interface morphology: The case of the three Gorges Reservoir area, China

Luo, Shilin; Huang, Da; Peng, Jianbing; Tomás, Roberto

doi:10.1016/j.enggeo.2021.106480

Cited by 22 publications

(8 citation statements)

References 57 publications

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“…A considerable number of small-scale shallow soil landslides have occurred in the Three Gorges Reservoir area in recent years [1][2][3][4], posing a significant danger to the safety and stability of reservoir slopes, as well as people's lives and property. A large temperature difference is a major contributor to these landslides [5].…”

Section: Introductionmentioning

confidence: 99%

Effect of freeze‒thaw cycles on root–Soil composite mechanical properties and slope stability

Wang,

Jing,

Luo

et al. 2024

PLoS ONE

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Natural disasters such as landslides often occur on soil slopes in seasonally frozen areas that undergo freeze‒thaw cycling. Ecological slope protection is an effective way to prevent such disasters. To explore the change in the mechanical properties of soil under the influence of both root reinforcement and freeze‒thaw cycles and its influence on slope stability, the Baijiabao landslide in the Three Gorges Reservoir area was taken as an example. The mechanical properties of soil under different confining pressures, vegetation coverages (VCs) and numbers of freeze‒thaw cycles were studied via mechanical tests, such as triaxial compression tests, wave velocity tests and FLAC3D simulations. The results show that the shear strength of a root–soil composite increases with increasing confining pressure and VC and decreases with increasing number of freeze‒thaw cycles. Bermuda grass roots and confining pressure jointly improve the durability of soil under freeze‒thaw conditions. However, with an increase in the number of freeze‒thaw cycles, the resistance of root reinforcement to freeze‒thaw action gradually decreases. The observed effect of freeze‒thaw cycles on soil degradation was divided into three stages: a significant decrease in strength, a slight decrease in strength and strength stability. Freeze‒thaw cycles and VC mainly affect the cohesion of the soil and have little effect on the internal friction angle. Compared with that of a bare soil slope, the safety factor of a slope covered with plants is larger, the maximum displacement of a landslide is smaller, and it is less affected by freezing and thawing. These findings can provide a reference for research on ecological slope protection technology.

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Section: Introductionmentioning

confidence: 99%

Effect of freeze‒thaw cycles on root–Soil composite mechanical properties and slope stability

Wang,

Jing,

Luo

et al. 2024

PLoS ONE

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“…The failure and sliding of slopes in an open pit can be triggered by multiple factors, among which are poorly designed geometric elements, insufficient knowledge of the geology and hydrogeology of the lignite deposit, the presence of uninvestigated failure plans (faults), external factors (overloads, seismic loads, precipitations), etc. [2][3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…The slope angle and height of the slopes are the main geometric elements that can influence their stability/instability [2][3][4][5][6][7][8][9][10][11][12][13][14]. Therefore, the design and compliance with the geometry of the working fronts are extremely important elements for maintaining their stability both in the exploitation process and, after the open pit is closed, in the reclamation phases.…”

Section: Introductionmentioning

confidence: 99%

Verifying the Stability of the Working Fronts of Lignite Open Pits Developed in Hilly Areas—A Case Study of Jilț North Open Pit (Romania)

Faur,

Lazar,

Apostu

et al. 2023

Applied Sciences

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Regardless of the period for which the lignite open pits from Romania will be kept in function, operational safety is an objective of utmost importance. In this context, the present paper aims to analyze the stability of the working fronts of a lignite open pit from Romania (Jilț North open pit). The development of Jilț North open pit involves excavations in a hilly area, with a level difference between the base of the open pit and the top of the hill of approx. 195 m (151 m by the end of 2023). Thus, based on the technical documentation provided by the mining operator (situation plan, cross-sections, stratigraphic columns, etc.) and laboratory tests (on the physical–mechanical characteristics of the rocks), a stability analysis model was created with the help of a specialized software. Following the analyses, it was found that two of these slopes (T1 and T3 steps) do not present a sufficient stability reserve (in fact they are unstable, Fs ˂ 1), to allow continuing extractive activities under safe conditions. Considering these results and using a well-known slope dimensioning method, two technical solutions were proposed to increase the stability reserve: a simple one, for the T3 step, which involves reducing the slope angle from 52° to 45°, and the second one, for the T1 step, a bit more complex, involving the inclusion in the general continuous flux of the open pit of a discontinuous sub-flux that aims to achieve three sub-steps, and the reduction in the general slope angle.

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“…For the special step-like displacement observed under special geological conditions and the periodic fluctuation of the reservoir water level in the Three Gorges Reservoir area, its landslide deformation is caused by the superposition of internal and external factors like other landslide deformation (Li, 2010). The deformation process is complex and it is difficult to distinguish the deformation stage accurately (Zhou et al, 2022a;Luo et al, 2022). Therefore, the landslide displacement prediction model is no longer applicable, which relies on the division of landslide deformation stages to predict the landslide deformation time (Tang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Landslide displacement prediction based on CEEMDAN and grey wolf optimized-support vector regression model

et al. 2022

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Landslide prediction is very important and challenging for reducing geological hazards. In the Three Gorges Reservoir area, landslides show stepped deformation due to seasonal rainfall and periodic fluctuation of reservoir water level. The purpose of this study is to use complete ensemble empirical mode decomposition with adaptive noise and grey wolf optimization to support the vector regression method for displacement prediction. Firstly, the cumulative displacement is decomposed by CEEMDAN to obtain both trend term and fluctuation term displacement. Secondly, according to the cumulative displacement, rainfall, and reservoir water level data, the influencing factors related to the displacement of the trend term and the fluctuation term are determined. Then, the GWO-SVR model is used to predict the trend and fluctuation displacement. The final prediction result is obtained by adding the calculated predicted displacement values of each component. The Shuizhuyuan landslide in the Three Gorges Reservoir area, China, was taken as an example, and the long-term displacement data of monitoring point SZY-03 were selected for analysis. The results show that the root mean square error (RMSE) and coefficient of determination (R2) between the measured displacement values and the prediction values were 0.9845 and 0.9964, respectively. The trained model has high computational accuracy, which proves that the GWO-SVR model can be used for displacement prediction of this type of landslide in the Three Gorges Reservoir area.

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Influence of permeability on the stability of dual-structure landslide with different deposit-bedding interface morphology: The case of the three Gorges Reservoir area, China

Cited by 22 publications

References 57 publications

Effect of freeze‒thaw cycles on root–Soil composite mechanical properties and slope stability

Effect of freeze‒thaw cycles on root–Soil composite mechanical properties and slope stability

Verifying the Stability of the Working Fronts of Lignite Open Pits Developed in Hilly Areas—A Case Study of Jilț North Open Pit (Romania)

Landslide displacement prediction based on CEEMDAN and grey wolf optimized-support vector regression model

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