Simulation of Collapse of Granular Columns Using the Discrete Element Method

Kermani, Elnaz; Qiu, Tong; Li, Tianbin

doi:10.1061/(asce)gm.1943-5622.0000467

Cited by 72 publications

(26 citation statements)

References 62 publications

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“…The higher the flow mobility of the avalanche is, the smaller θ is. In some numerical studies, the particles are released by instantaneously removing the wall (Langlois et al, ; Staron & Hinch, ; Tapia‐McClung & Zenit, ; Utili et al, ), whereas a constant wall removal velocity is employed in other studies (Cleary & Frank, ; Coetzee, ; Kermani et al, ; Lube et al, ). The wall removal time T * is defined as T * = H 0 / v wall to investigate the influence of the wall removal velocity v wall on the granular column collapse.…”

Section: Resultsmentioning

confidence: 99%

Collapse of Granular Columns With Fractal Particle Size Distribution: Implications for Understanding the Role of Small Particles in Granular Flows

Liu

Vallejo

Zhou

et al. 2017

Geophysical Research Letters

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According to field measurements, the basic character of the particle size distributions obtained from the landslide accumulations is fractal. The collapse of the granular columns with fractal particle size distribution (FPSD) is performed numerically and experimentally to form dry granular flows and the mechanism of how FPSD affects the particle movements is then investigated. Numerical and experimental analyses show that particle flow mobility increases as the fractal dimension increases. Several linear relationships exist between the fractal dimension and flow mobility parameters. By analyzing the kinetics of granular flows, it is found that a large number of small-sized particles will form a boundary layer where the particle shearing and velocities are remarkably increased and will thus have a lubricant effect on the flow mobility. Moreover, the number of particle collisions increases, and small-sized particles are more likely to obtain higher spreading velocities via the greater contribution of particle interactions.

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Section: Resultsmentioning

confidence: 99%

Collapse of Granular Columns With Fractal Particle Size Distribution: Implications for Understanding the Role of Small Particles in Granular Flows

Liu

Vallejo

Zhou

et al. 2017

Geophysical Research Letters

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“…This may underestimate the interparticle frictions out of the plane direction and hence less energy dissipation. (2) In reality, a considerable part of soil fell down with intensive rolling and sliding (resistance) which cause intensive energy dissipation, while the present study considers free‐rolling DEM model (the reader can refer to Kermani et al for the effect of rolling resistance on column collapse).…”

Section: Multiscale Modeling Of Geomechanics Problemsmentioning

confidence: 75%

“…Particle shape may be a pivotal feature for realistically reproducing the behavior of granular materials. Using idealized spheres/circular disks (3D/2D) in DEM simulation may potentially lead to the following discrepancies between the prediction and reality: (a) the macroscopic friction angle of a DEM packing may be found smaller than experimental result, (b) the energy loss because of rolling resistance is neglected in simulations, resulting in underestimated energy dissipation, and (c) particle interlocking broadly existed in nature cannot be properly replicated by DEM simulations.…”

Section: Hierarchical Coupling Of Mpm and Dem: Formulation And Methodmentioning

confidence: 99%

Multiscale modeling of large deformation in geomechanics

Liang

Zhao

2019

Num Anal Meth Geomechanics

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Summary Large deformation soil behavior underpins the operation and performance for a wide range of key geotechnical structures and needs to be properly considered in their modeling, analysis, and design. The material point method (MPM) has gained increasing popularity recently over conventional numerical methods such as finite element method (FEM) in tackling large deformation problems. In this study, we present a novel hierarchical coupling scheme to integrate MPM with discrete element method (DEM) for multiscale modeling of large deformation in geomechanics. The MPM is employed to treat a typical boundary value problem that may experience large deformation, and the DEM is used to derive the nonlinear material response from small strain to finite strain required by MPM for each of its material points. The proposed coupling framework not only inherits the advantages of MPM in tackling large deformation engineering problems over the use of FEM (eg, no need for remeshing to avoid mesh distortion in FEM), but also helps avoid the need for complicated, phenomenological assumptions on constitutive material models for soil exhibiting high nonlinearity at finite strain. The proposed framework lends great convenience for us to relate rich grain‐scale information and key micromechanical mechanisms to macroscopic observations of granular soils over all deformation levels, from initial small‐strain stage en route to large deformation regime before failure. Several classic geomechanics examples are used to demonstrate the key features the new MPM/DEM framework can offer on large deformation simulations, including biaxial compression test, rigid footing, soil‐pipe interaction, and soil column collapse.

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“…In these studies, the effect of the initial void ratio (corresponding to the soil density) was again ignored. To confirm this, Kermani et al (2015) and Soundararajan (2015) simulated the effect of initial porosity on three-dimensional (3D) asymmetrical collapse considering different aspect ratios. However, the number of particles in the majority of DEM simulations is limited and far from a real physical model or case due to computational efficiency issues.…”

Section: Introductionmentioning

confidence: 93%

Novel SPH SIMSAND–Based Approach for Modeling of Granular Collapse

et al. 2018

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Granular collapse is a common issue in natural hazards. This paper proposes a novel numerical approach on modeling granular column collapse. A newly developed critical state-based constitutive model, SIMSAND, was adopted to combine with the smoothed particle hydrodynamics (SPH) method for realistically reproducing large deformation during collapse. A rectangular channel and two-dimensional column tests were first simulated for the validation. The effects of aspect ratio and initial soil density were further investigated by additional simulations. It was demonstrated that the novel SPH-SIMSAND approach is helpful in improving the understanding of granular collapse and should be an effective computational tool for the analysis of real-scale granular flow.

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Simulation of Collapse of Granular Columns Using the Discrete Element Method

Cited by 72 publications

References 62 publications

Collapse of Granular Columns With Fractal Particle Size Distribution: Implications for Understanding the Role of Small Particles in Granular Flows

Collapse of Granular Columns With Fractal Particle Size Distribution: Implications for Understanding the Role of Small Particles in Granular Flows

Multiscale modeling of large deformation in geomechanics

Novel SPH SIMSAND–Based Approach for Modeling of Granular Collapse

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