Runout prediction and deposit characteristics investigation by the distance potential-based discrete element method: the 2018 Baige landslides, Jinsha River, China

Jia, Mingxing; Liu, Xunnan; Zhang, Chong; Guo-xin, Jia; Zhao, Lanhao

doi:10.1007/s10346-020-01501-8

Cited by 18 publications

(6 citation statements)

References 39 publications

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“…There are two kinds of stress updating algorithms: one is the explicit algorithm that is conditionally stable and strictly limited by the integral step, and the other is the implicit algorithm that is unconditionally stable. According to the user subroutines in ABAQUS, the implicit backward Euler integral algorithm is adopted [21][22][23]. When the stress exceeds the yield surface, plastic strain appears, and then the implicit backward Euler integral algorithm is used for stress adjustment to bring the stress back to the updated yield surface.…”

Section: Stress Updating Algorithmmentioning

confidence: 99%

“…Based on previous research results and the three-dimensional strength characteristics of different soil types, a three-dimensional nonlinear strength model of soil considering T-S coupling strength and C-S strength is established. In this paper, the proposed strength model is numerically implemented in ABAQUS, in which an implicit backward Euler integral algorithm [21][22][23] compiles the user material subroutine (UMAT) subroutine. After the UMAT subroutine is verified by numerical experiments, it is applied to slope stability analysis.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Implementation of Three-Dimensional Nonlinear Strength Model of Soil and Its Application in Slope Stability Analysis

et al. 2022

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Based on previous research results and the three-dimensional strength characteristics of different soil types, a three-dimensional nonlinear strength model of soil considering tenso-shear (T-S) coupling strength and compressive-shear (C-S) strength is established. The proposed model can better describe the influences of intermediate principal stress and T-S coupling stress in soil. The secondary development of user material subroutine (UMAT) is conducted in ABAQUS. The UMAT procedure is programmed using an implicit backward Euler integral algorithm, and numerical experiments verify its accuracy. This procedure is then applied to the analysis of slope stability. Using the strength reduction method, the stability of the saturated slope and unsaturated slope are analyzed. The numerical results show that when the slope approaches instability, the T-S coupling plastic zone and T-S coupling failure surface develop downward from the top surface of the slope. The critical slip surface is a composite slip surface composed of a C-S slip surface and a T-S coupling failure surface. Compared with the M-C strength model, the three-dimensional nonlinear strength model can describe the failure mechanism of the slope more clearly and reasonably and can provide an accurate stability evaluation.

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Section: Stress Updating Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Numerical Implementation of Three-Dimensional Nonlinear Strength Model of Soil and Its Application in Slope Stability Analysis

et al. 2022

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“…Conversely, for 15% dam failure, the peak flow discharge of each section was the smallest, and the time to reach each section was the slowest. Numerical simulation of geohazard chains is considered the most effective method to reveal the dynamics of landslides and the scenario analysis of potential landslides (Mao et al 2020;Liu and He 2020). In this area, most of the published articles focused mainly on the simulation analysis of the dynamic process of post landslides as well as studying the initiation mechanism and characteristics of post landslides (Yang et al 2014;Delaney et al 2015;Yin et al 2016;Ge et al 2019;Guo et al 2020).…”

Section: Outburst Flood Simulationmentioning

confidence: 99%

“…Furthermore, groundwater affects the initiation process of a landslide as well as the landslide process caused by rainfall, loading, and unloading (Zhang et al 2017;Gong et al 2020). (3) Numerical simulations were further used to carry out regional or single landslide scenario analysis, study the disaster loss and the damage zone caused by the geohazards, and provide a reference for risk analysis, assessment zoning, and disaster relief route selection (Loreto et al 2017;Fan et al 2020b;Mao et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Scenario simulation of the geohazard dynamic process of large-scale landslides: a case study of the Xiaomojiu landslide along the Jinsha River

et al. 2022

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Large-scale landslides often cause severe damage due to their long run-out distances and having disaster chain effects. Scenario simulation has been adopted in the current work to analyze the Xiaomojiu landslide dynamic processes, such as sliding velocity, deposition characteristics, and flood outburst after a landslide-dam failure using Particle Flow Code (PFC-3D) which introduced the changeable friction coefficient and the HEC-RAS software. The landslide characteristics and topography data were obtained via field investigation, whereas high-resolution topographic data (0.17 m) was obtained using an Unmanned Aerial Vehicle (UAV). The results showed that: 1. The landslide presents a scallop shape with a length of 1566 m, a width ranging from 809~1124 m, and an area of 1.34×10 6 m 2 . The average thickness and volume of the sliding body is approximately 40 m, 5.1×10 7 m 3 . The InSAR deformation analysis showed that the Xiaomojiu landslide has a maximum annual displacement rate of 60 mm/y, and a maximum accumulation deformation of 180 mm since November 25, 2017. 2. From the landslide simulation results, the failure process of the Xiaomojiu landslide lasted for 65 s with a maximum velocity of 78.2 m/s. The deposited area is approximately 2023 m long, 900 m wide, with a maximum height of approximately 149 m. 3. After the landslide blocks the Jinsha River, a landslide-dammed lake with an elevation of 2940 m and a storage capacity of 4.13×109 m 3 is formed. The maximum peak flow rate of the breach is 12051.7 m 3 /s, 43451.4 m 3 /s, 148635.6 m 3 /s, and 304544.7 m 3 /s for the landslide-dammed failure degrees of 15%, 25%, 50%, and 75%, respectively. These results provide a scientific reference for the risk analysis and mitigation of the landslide. KeywordsScenario simulation • Geohazards chains • Landslide failure • Flood simulation • Xiaomojiu landslide

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“…e analysis of the parameters affecting the scraping effect is of great significance for evaluating disaster risk. Some studies have analyzed the influence of friction angle, pore water pressure, consolidation coefficient, friction coefficient, and stiffness coefficient on the scraping effect [29][30][31][32]. Zhang et al [33] used PFC to simulate the motion process of the Jiweishan landslide and obtained the conclusion that the friction coefficient of the sliding surface and strength of the sliding mass significantly affect the distribution of the sliding mass in deposited areas.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Analysis of the High‐Speed and Long‐Runout Landslide Movement Process Based on the Discrete Element Method: A Case Study of the Shuicheng Landslide in Guizhou, China

Xia

Liu

et al. 2021

Advances in Civil Engineering

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On July 23, 2019, a high-speed and long-runout landslide occurred in Jichang Town, Shuicheng County, Guizhou Province, China, causing 42 deaths and 9 missing. This paper used the discrete element software MatDEM to construct a three-dimensional discrete element model based on digital elevation data and then simulated and analyzed the movement and accumulation process of the landslide. The maximum average velocity of the source area elements reached 14 m/s when passed through the scraping area; meanwhile, the velocity of the scraping area elements increased rapidly. At 90 s, the maximum displacement of the source area elements reached 1358.5 m. The heat generated during the movement of the landslide was mainly the frictional heat, and the frictional heat increased sharply when the source area elements passed through the scraping area. The change of frictional heat has a certain positive correlation with the velocity of the scraping area elements. Finally, the volume of the scraping area elements was 2.4 times greater than the source area elements in the deposits. The scraping effect increases the volume of the sliding body and expands the impact area of the landslide disaster. Additionally, by setting different compressive and tensile strengths as well as internal friction coefficients to analyze the influences of their value changes on the landslide movement process, the results show that the smaller the strengths and internal friction coefficient of the model, the greater the depth and area of the scraping area, which will result in a thicker accumulation; meanwhile, the average displacement, average velocity, and heat will also increase.

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Runout prediction and deposit characteristics investigation by the distance potential-based discrete element method: the 2018 Baige landslides, Jinsha River, China

Cited by 18 publications

References 39 publications

Numerical Implementation of Three-Dimensional Nonlinear Strength Model of Soil and Its Application in Slope Stability Analysis

Numerical Implementation of Three-Dimensional Nonlinear Strength Model of Soil and Its Application in Slope Stability Analysis

Scenario simulation of the geohazard dynamic process of large-scale landslides: a case study of the Xiaomojiu landslide along the Jinsha River

Dynamic Analysis of the High‐Speed and Long‐Runout Landslide Movement Process Based on the Discrete Element Method: A Case Study of the Shuicheng Landslide in Guizhou, China

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