Analysis of the load exerted by debris flows on filter barriers: Comparison between numerical results and field measurements

Leonardi, Alessandro; Pirulli, Marina

doi:10.1016/j.compgeo.2019.103311

Cited by 30 publications

(4 citation statements)

References 57 publications

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“…The particle contact model is linear and elasto-viscous in the normal and tangential directions, with a prescribed restitution coefficient. In the tangential direction, contact forces are capped by Coulomb friction [18]. The inter-particle friction coefficient is relatively high (0.5) with respect to real grains, e.g.…”

Section: Numerical Model and Simulation Campaignmentioning

confidence: 99%

Coriolis-induced instabilities in centrifuge modeling of granular flow

2021

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Granular flows are typically studied in laboratory flumes based on common similarity scaling, which create stress fields that only roughly approximate field conditions. The geotechnical centrifuge produces stress conditions that are closer to those observed in the field, but steady conditions can be hardly achieved. Moreover, secondary effects induced by the apparent Coriolis acceleration, which can either dilate or compress the flow, often obscure scaling. This work aims at studying a set of numerical experiments where the effects of the Coriolis acceleration are measured and analyzed. Three flow states are observed: dense, dilute, and unstable. It is found that flows generated under the influence of dilative Coriolis accelerations are likely to become unstable. Nevertheless, a steady dense flow can still be obtained if a large centrifuge is used. A parametric group is proposed to predict the insurgence of instabilities; this parameter can guide experimental designs and could help to avoid damage to the experimental apparatus and model instrumentation. Graphic abstract

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Section: Numerical Model and Simulation Campaignmentioning

confidence: 99%

Coriolis-induced instabilities in centrifuge modeling of granular flow

2021

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“…[ 11–14 ] Indeed, numerical simulations have been widely used to analyze landslide runout aspects and the efficiency of hazard mitigation structures. [ 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%

“…[11][12][13][14] Indeed, numerical simulations have been widely used to analyze landslide runout aspects and the efficiency of hazard mitigation structures. [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] Among the various numerical simulation tools that are available for the landslide runout behavior analysis, PFC is often selected for its effectiveness and flexibility.…”

Section: Introductionmentioning

confidence: 99%

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

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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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“…Field survey combined with remote sensing technology is the most direct approach to obtain the basic dynamic characteristics and the impact area of debris flows. For example, Leonardi and Pirulli [5] installed a filter barrier in an experimental site in the Italian Alps and monitored the load exerted by debris flows and the structural response of the barrier. Liu et al [6] conducted a field investigation along the Sichuan-Tibet railway and systematically analyzed 55 samples of glacial debris flow deposits to determine their grading and rheological properties.…”

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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Analysis of the load exerted by debris flows on filter barriers: Comparison between numerical results and field measurements

Cited by 30 publications

References 57 publications

Coriolis-induced instabilities in centrifuge modeling of granular flow

Coriolis-induced instabilities in centrifuge modeling of granular flow

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

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

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