Modelling the evolution of propagation and runout from a gravel–silty clay landslide to a debris flow in Shaziba, southwestern Hubei Province, China

Hu, Xudong; Zhang, Lun; Hu, Kaiheng; Cui, Lei; Wang, Li; Xia, Zhenyao; Huang, Qunzhi

doi:10.1007/s10346-022-01897-5

Cited by 19 publications

(5 citation statements)

References 54 publications

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“…Li et al [53] conducted virtual uniaxial compression tests for parameter calibration before the PFC simulation of the Jiweishan landslide. Similar research works can be found in some recent literature [18,57]. The effectiveness of this method has been validated through the above research works.…”

Section: Calibration Of Parameterssupporting

confidence: 62%

“…From this, the cohesion (c) and internal friction angle (ϕ) of the granular assembly can be calculated to be 26.3 kPa and 21.1 • , respectively. According to the literature [57,58], the cohesion of Quaternary silty clay in the study area is 22-37 kPa, and the internal friction angle is 18-25 • . Therefore, the shear strength characteristic of the granular assembly in the PFC model is consistent with that of the source material of the Shaziba landslide.…”

Section: Calibration Of Parametersmentioning

confidence: 99%

“…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%

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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: Calibration Of Parameterssupporting

confidence: 62%

Section: Calibration Of Parametersmentioning

confidence: 99%

Section: Limitations Of the Modeling Approachmentioning

confidence: 99%

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

Cheng

Dai

2023

Water

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“…The formation and occurrence of an underground debris flow involve typical interactions between discontinuous and continuous media, and the solid-liquid two-phase fluid contains a large number of sediments, rocks, and boulders. The fluid is in a state of viscous laminar flow or dilute turbulent flow [14]. Because a debris flow is a two-phase fluid flow that includes solid and liquid phases, and the PFC 3D (version 6.0) numerical simulation software uses the discrete element method to calculate the particle-particle interaction of the fluid, the software can effectively simulate the movements and interactions of solid particles in the debris flow; the CFD fluid module in the software can simulate the effect of water on solid particles in the debris flow [15].…”

Section: Introductionmentioning

confidence: 99%

Study on the Effect of Ore-Drawing Shear Factor on Underground Debris Flow in the Block Caving Method

Niu,

Zhe,

Sun

et al. 2023

Water

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The shear factor of ore drawing is an important factor affecting the formation of underground debris flows. The aim of this study was to investigate the effect of the mining shear factor on underground debris flows in natural caving. The research background was the underground debris flow in the Plan copper mine, and we analyzed the characteristics of the slurry material structure of the underground debris flow, as well as the influence of the ore-drawing shear factor on the formation mechanism of the underground debris flow. The results showed that the slurry of the underground debris flow in the Plan mine is both a pseudoplastic and thixotropic fluid. Shearing force induced in drawing deforms the slurry and decreases its viscosity with the increase in shear rate and time. The shear force produced by the flow of ore particles first produces shear action on the paste in the shear boundary region of the ore drawing, reducing the paste viscosity while increasing its fluidity. Consequently, the “activation” makes the paste flowable, which flows along with the bulk ore flowing through the drawing mouth. The continuous ore-drawing process continuously shears the new moraine slurry in the ore-drawing channel and continuously “activates” the moraine slurry in the ore-drawing channel. Finally, destructive underground debris flow accident of a certain scale occurs. To our knowledge, this study thoroughly investigated the effect of the ore-drawing shear factor on the formation mechanism of underground debris flows, which not only broadens the research field of debris flow but also covers the deficiency of systematic research on underground debris flows, providing theoretical guidance for the prevention and control of underground debris flows.

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“…Compared with the continuum model, the discrete element method does not constrain the distortion of element locations and shows significant advantages in simulating large deformations (Liu et al, 2020). Particle flow codes (PFC) have been widely used to model catastrophic landslide processes (Chang et al, 2021;Hu et al, 2022). The discrete element method discretizes the material in space, performs iterative calculations, and is very data intensive.…”

Section: Introductionmentioning

confidence: 99%

Influencing factors, deformation mechanism and failure process prediction for reservoir rock landslides: Tanjiahe landslide, three gorges reservoir area

Chen

Zhang²,

Wang³

et al. 2022

Front. Earth Sci.

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Compared with terrestrial rock landslides, reservoir rock landslides are also affected by the rise and fall of the reservoir water level, and these landslides are more threatening. High-speed debris flows may form once they lose stability, and once they enter the water a surge is formed. This endangers the safe operation of reservoirs. This study explored the deformation characteristics and influencing factors of the Tanjiahe reservoir rock landslide in the Three Gorges Reservoir using field investigations, GPS surface displacement monitoring, and groundwater level monitoring. The discrete element system MatDEM was used to simulate failure motion, and predict the hazard area affected by the Tanjiahe landslide. The results show that within the reservoir water variation section (145-175 m), the Tanjiahe landslide mass was composed of surface soil (156-175 m) with low permeability and deep cataclastic rock (145-156 m) with high permeability. Due to the difference in permeability between the deep and surface layers, the response of landslide deformation to water level rise is not obvious. The high-level (175 m) operation of the reservoir and the decline in the reservoir water level (175-145 m) are key factors affecting the landslide deformation. Rainfall had a positive effect on landslide deformation. Under their combined action, the stability of the front gentle antisliding section of the landslide decreases, and the displacement of the middle and rear steeper sliding section increases under the driving force, which may lead to slope failure. The simulation results show that the upper part of the Tanjiahe landslide slides first and pushes the lower part to move, which is a typical of thrust load-caused failure. The speed of the sliding mass has three stages: rapid rise, rapid decline, and slow decline. The higher the slope angle, the higher the acceleration of the sliding mass in the direction parallel to the slope surface, the higher the speed peak value and the faster the sliding mass speed reaches the peak value. During the failure process, energy is transferred between sliding mass through collisions. Landslides can easily lead to debris flow. The maximum height of the first wave generated when the debris flow entered the water is 5.95 m, and the wave height that propagated to the

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Modelling the evolution of propagation and runout from a gravel–silty clay landslide to a debris flow in Shaziba, southwestern Hubei Province, China

Cited by 19 publications

References 54 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

Study on the Effect of Ore-Drawing Shear Factor on Underground Debris Flow in the Block Caving Method

Influencing factors, deformation mechanism and failure process prediction for reservoir rock landslides: Tanjiahe landslide, three gorges reservoir area

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