Numerical Simulation of Failure Behavior of Granular Debris Flows Based on Flume Model Tests

Zhou, Jian; Li, Ye-xun; Jia, Mingxing; Li, Cui-na

doi:10.1155/2013/603130

Cited by 13 publications

(4 citation statements)

References 18 publications

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“…As a numerical software based on the DEM method, the PFC3D introduced in this study has obvious advantages in modeling extremely large deformation behaviors of geo-material. Therefore, it has been widely applied in the simulation of geological disaster propagation, such as flow-like landslides [53,57], rock avalanches [63,64], and debris flows [41,65] with both dry and saturated source materials. The validity and reliability of the PFC models have been extensively verified.…”

Section: Limitations Of the Modeling Approachmentioning

confidence: 99%

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Cheng

Dai

2023

Water

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Geological disasters, especially landslides, frequently occur in Enshi County, Hubei Province, China. On 21 July 2020, a large-scale landslide occurred in Enshi due to continuous rainfall. The landslide mass blocked the Qingjiang River, formed a dammed lake and caused great damage to surrounding roads and village buildings. In this study, the geomechanical properties of the landslide mass were obtained through field surveys. A three-dimensional topography model of the slope was established using the particle flow code (PFC) and the numerical parameters of the model were calibrated. A 3D discrete element model (DEM) was used to simulate the propagation of Shaziba landslide, and the dynamic behavior of the landslide was divided into five stages. The simulation results show that the landslide movement lasted approximately 1000 s. The maximum average velocity of the landslide reached up to 7.5 m/s and the average runout distance was about 1000 m. The simulated morphology of the landslide deposits was in good agreement with the field data. In addition, the influence of effective modulus on the calculation results was analyzed. The results indicate that the propagation behavior of a landslide and the morphology of landslide deposits are closely related to the effective modulus in the contact model of the PFC3D.

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Section: Limitations Of the Modeling Approachmentioning

confidence: 99%

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Cheng

Dai

2023

Water

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“…In simulations, their method effectively captured the micromechanism of seepage through the soil. Similar applications of the CFD-DEM coupling method have obtained favorable results in other soil seepage and liquefaction studies [23][24][25][26][27]. Recently, Jiang and Zhang [28] and Khalili and Mahboubi [29] embedded discrete CFD-DEM control equations into the commercial software PFC 2D .…”

Section: Introductionmentioning

confidence: 96%

Macro and micro analysis on coal-bearing soil slopes instability based on CFD-DEM coupling method

Zhang

et al. 2021

PLoS ONE

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By combining the discrete element method (DEM) with computational fluid dynamics (CFD), this study proposes a three-dimensional CFD–DEM fluid–solid coupling microscopic computational model for analyzing the micromechanisms of instability and failure in a coal-bearing soil slope during rainfall. The CFD–DEM fluid–solid coupling model indicated that the main failure mode of the coal-bearing soil slopes was rainwater washing, and the slope sliding surface was predicted as an approximately linear segment. The adaptability of this numerical method was verified by comparing its results with those of rain-washed slopes in an outdoor model test. Rainfall changed the microscopic parameters such as the force chain, coordination number, and porosity of the slope soil particles. The porosity of the slope’s top particles increased from 0.35 in the initial state to 0.80 in the unstable state. This change was directly related to the macroscopic mechanics of the slope soil. By analyzing the changes in the microscopic parameters of the particles, the failure evolution law of the coal-bearing soil slopes during rainfall was explored from a microscopic perspective. This study not only provides a theoretical basis for the protection design and construction of coal-bearing soil slopes in the region but can also analyze macroscopic mechanical laws of discrete media from a micro–macro perspective in geotechnical engineering.

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“…For example, discontinuous deformation analysis (DDA) and discrete element method (DEM) have been widely applied to simulate the motion process of debris flows [23][24][25][26]. Particle flow code (PFC) has been often used for the runout behavior simulation of catastrophic debris flows [27]. Smoothed particle hydrodynamics (SPH) is also an effective meshfree method which has been proved to be applicable for kinetic characteristics analysis of debris flows [28,29].…”

Section: Introductionmentioning

confidence: 99%

Numerical Investigation on the Kinetic Characteristics of the Yigong Debris Flow in Tibet, China

Dai

Wang

et al. 2021

Water

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To analyze the kinetic characteristics of a debris flow that occurred on 9 April 2000 in Tibet, China, a meshfree numerical method named smoothed particle hydrodynamics (SPH) is introduced, and two-dimensional and three-dimensional models are established in this work. Based on the numerical simulation, the motion process of this debris flow is reproduced, and the kinetic characteristics are analyzed combining with the field investigation data. In the kinetic analysis, the flow velocity, runout distance, deposition, and energy features are discussed. Simulation results show that the debris flow mass undergoes an acceleration stage after failure, then the kinetic energy gradually dissipates due to the friction and collision during debris flow propagation. Finally, the debris flow mass blocks the Yigong river and forms a huge dam and an extensive barrier lake. The peak velocity is calculated to be about 100 m/s, and the runout distance is approximately 8000 m. The simulation results basically match the data measured in field, thus verifying the good performance of the presented SPH model. This approach can predict hazardous areas and estimate the hazard intensity of catastrophic debris flow.

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Numerical Simulation of Failure Behavior of Granular Debris Flows Based on Flume Model Tests

Cited by 13 publications

References 18 publications

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Propagation Modeling of Rainfall-Induced Landslides: A Case Study of the Shaziba Landslide in Enshi, China

Macro and micro analysis on coal-bearing soil slopes instability based on CFD-DEM coupling method

Numerical Investigation on the Kinetic Characteristics of the Yigong Debris Flow in Tibet, China

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