Kinetic characteristics of debris flows as exemplified by field investigations and discrete element simulation of the catastrophic Jiweishan rockslide, China

Zou, Zongxing; Tang, Huiming; Xiong, Chengren; Su, Aijun; Criss, Robert E.

doi:10.1016/j.geomorph.2017.06.012

Cited by 55 publications

(29 citation statements)

References 41 publications

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“…Figure 11 compares such a relationship obtained with the probabilistic PFC simulation with that obtained by Zou et al. [ 18 ] using the deterministic PFC simulation. Similar to the findings shown in Figure 10, a good agreement is observed as the deterministic PFC simulation outcome is seen bracketed by the 90% confidence interval of the probabilistic PFC simulation.…”

Section: Probabilistic Analysis Of the Runout Behavior Of The Jiweishan Landslidementioning

confidence: 67%

“…The degree of fragmentation of the sliding mass at the trailing edge of the deposit is relatively low. It is noted that the geometry and parameters setting (of the particle‐boundary contacts, damping coefficients, and joints and bedding planes) of this PFC simulation are very similar to those adopted in Zou et al., [ 18 ] except for the selection of the particle‐particle contact micro‐parameters. Even though the macro‐parameters of the sliding mass could be well captured by the particle‐particle contact micro‐parameters (calibrated previously with uniaxial compression simulation), these micro‐parameters are not effective for the PFC simulation of this landslide.…”

Section: Deterministic Simulation Of the Jiweishan Landslide With Pfcmentioning

confidence: 99%

“…To this end, the deterministic deposit configurations obtained in Zou et al. [ 18 ] and Zhang et al. [ 30 ] are also plotted in Figure 10.…”

Section: Probabilistic Analysis Of the Runout Behavior Of The Jiweishan Landslidementioning

confidence: 99%

“…[ 15 ] Among the many examples of numerical solutions are the analyses of the Tsaoling landslide in Taiwan, [ 16 ] the Higashi–Takezawa landslide in Japan, [ 17 ] and the Jiweishan landslide in China. [ 18 ]…”

Section: Introductionmentioning

confidence: 99%

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Probabilistic analysis of a discrete element modelling of the runout behavior of the Jiweishan landslide

Bing

Gong

Tang

et al. 2021

Num Anal Meth Geomechanics

Self Cite

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Landslide is one of the most destructive geohazards around the world. The destruction of a landslide can be estimated from its deformation and runout behaviors, which might be simulated with numerical software such as particle flow code (PFC). In the PFC simulation of the runout behavior of a landslide, the results are dependent upon the particle‐particle contact micro‐parameters (e.g., contact modulus and friction coefficient). The calibration of the micro‐parameters of the PFC models is a challenge and various uncertainties are involved. The uncertainty in the selection of the modelling parameters leads to uncertainty in the simulated runout behavior of the landslide. As a result, the damage potential of the landslide cannot be accurately evaluated. To this end, this paper presents a probabilistic analysis of the runout behavior of the Jiweishan landslide, in which the uncertainty in the selection of the particle‐particle contact micro‐parameters is explicitly considered. Here, the input micro‐parameters are modeled as discrete random variables, the possible realizations of which are obtained through an orthogonal analysis of the PFC simulation‐based uniaxial compression tests. The derived possible realizations of the micro‐parameters are then adopted as the inputs to the built model of the landslide. With the results obtained from these PFC simulations, the runout behaviors of the Jiweishan landslide, such as the runout distance and the deposit thickness, are studied probabilistically. The results provide an improved estimate of the landslide runout behavior and further aid in making an informed risk assessment of the landslide.

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Section: Probabilistic Analysis Of the Runout Behavior Of The Jiweishan Landslidementioning

confidence: 67%

Section: Deterministic Simulation Of the Jiweishan Landslide With Pfcmentioning

confidence: 99%

“…To this end, the deterministic deposit configurations obtained in Zou et al. [ 18 ] and Zhang et al. [ 30 ] are also plotted in Figure 10.…”

Section: Probabilistic Analysis Of the Runout Behavior Of The Jiweishan Landslidementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Probabilistic analysis of a discrete element modelling of the runout behavior of the Jiweishan landslide

Bing

Gong

Tang

et al. 2021

Num Anal Meth Geomechanics

Self Cite

View full text Add to dashboard Cite

show abstract

“…The Newton's second law is used to determine the force between the particle contacts, and the force-displacement relationship updates the contact force due to the relative motion of the particles. PFC 2D is used to simulate the mechanical behavior of simulated materials by establishing the constitutive model considering interparticle contact, including stiffness model, bond model, and slip model [27]. The model does not have a bond between particles by default.…”

Section: Particle Discrete Element Software Pfc 2d Principlementioning

confidence: 99%

Determination of Long Horizontal Borehole Height in Roofs and Its Application to Gas Drainage

Wang

Fan

et al. 2018

Energies

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Accurately determining the height of the gas-guiding fracture zone in the overlying strata of the goaf is the key to find the height of the long horizontal borehole in the roof. In order to determine the height, in this study we chose the 6306 working face of Tangkou Coal Mine in China as a research example and used both the theoretical model and discrete element method (DEM) numerical simulation to find the height of the gas-guiding fracture zone and applied the height to drill a long horizontal borehole in the roof of the 6303 working face. Furthermore, the borehole was utilized to deep into the roof for coalbed methane drainage and the results were compared with conventional gas drainage measures from other aspects. The height of the gas-guiding fracture zone was found to be 48.57 m in theoretical model based on the bulk coefficient and the void ratio and to be 51.19 m in the DEM numerical simulation according to the temporal and spatial variation characteristics of porosity. Taking both the results of theoretical analysis and numerical simulation into consideration, we determined that gas-guiding fracture zone is 49.88 m high and applied it to drill a long horizontal borehole deep into the roof in the 6303 working face field. Compared with conventional gas drainage measures, we found that the long horizontal borehole has the high stability, high efficiency and strong adaptability for methane drainage.

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Predicting post‐fire debris flow grain sizes and depositional volumes in the Intermountain West, United States

Wall

Murphy

Belmont

et al. 2022

Earth Surf Processes Landf

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Post-fire debris flows represent one of the most erosive consequences associated with increasing wildfire severity and investigations into their downstream impacts have been limited. Recent advances have linked existing hydrogeomorphic models to predict potential impacts of post-fire erosion at watershed scales on downstream water resources. Here we address two key limitations in current models: (1) accurate predictions of post-fire debris flow volumes in the absence of triggering storm rainfall intensities and (2) understanding controls on grain sizes produced by post-fire debris flows. We compiled and analysed a novel dataset of depositional volumes and grain size distributions (GSDs) for 59 post-fire debris flows across the Intermountain West (IMW) collected via fieldwork and from the literature. We first evaluated the utility of existing models for post-fire debris flow volume prediction, which were largely developed for Southern California. We then constructed a new post-fire debris flow volume prediction model for the IMW using a combination of Random Forest modelling and regression analysis. We found topography and burn severity to be important variables, and that the percentage of pre-fire soil organic matter was an essential predictor variable. Our model was also capable of predicting debris flow volumes without data for the triggering storm, suggesting that rainfall may be more important as a presence/absence predictor, rather than a scaling variable. We also constructed the first models that predict the median, 16th percentile, and 84th percentile grain sizes, as well as boulder size, produced by post-fire debris flows. These models demonstrate consistent landscape controls on debris flow GSDs that are related to land cover, physical and chemical weathering, and hillslope sediment transport processes. This work advances our ability to predict how post-fire sediment pulses are transported through watersheds. Our models allow for improved pre-and post-fire risk assessments across diverse ranges of watersheds in the IMW.

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Kinetic characteristics of debris flows as exemplified by field investigations and discrete element simulation of the catastrophic Jiweishan rockslide, China

Cited by 55 publications

References 41 publications

Probabilistic analysis of a discrete element modelling of the runout behavior of the Jiweishan landslide

Probabilistic analysis of a discrete element modelling of the runout behavior of the Jiweishan landslide

Determination of Long Horizontal Borehole Height in Roofs and Its Application to Gas Drainage

Predicting post‐fire debris flow grain sizes and depositional volumes in the Intermountain West, United States

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