Numerical simulation of drained triaxial test using 3D discrete element modeling

Belheine, Noura; Plassiard, Jean‐Patrick; Donzé, Frédéric‐Victor; Darve, Félix; Seridi, A.

doi:10.1016/j.compgeo.2008.02.003

Cited by 324 publications

(169 citation statements)

References 14 publications

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“…Belheine et al [38]; the summation of the contact forces is over all the particles in contact with particle i; fluid f is the force exerted by fluid on the particle, which will be defined in Section 2.2.…”

Section: Equations Governing Particle Motionmentioning

confidence: 99%

Investigation of granular batch sedimentation via DEM–CFD coupling

2014

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process, the excess pore water pressure initially increases rapidly to a peak value, and then dissipates gradually to zero. Meanwhile, the compressibility of the sediments decreases slowly as a soil layer builds up at the bottom. Consolidation of the deposited layer is caused by the self-weight of grains, while the compressibility of the sample decreases progressively.Keywords: granular batch sedimentation, DEM-CFD coupling, segregation, pore water pressure, effective stress, compressibility IntroductionThe sedimentation and consolidation processes of granular materials are common in both terrestrial and submerged environments. In the natural environment, granular materials often settle continuously towards the seabed, lake or river floor to form a loose sediment layer. As the skeleton of the sediment layer is extremely compressible, it undergoes relatively large strain under additional loads. Sedimentation processes are very important for solid-liquid 1 2

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Section: Equations Governing Particle Motionmentioning

confidence: 99%

Investigation of granular batch sedimentation via DEM–CFD coupling

2014

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“…For DEM simulations of rocks [7,27,50] in which intergranular forces depend linearly on relative displacements between adjoining grains, a linear correlation between the bulk Young's modulus and the normal contact stiffness was identified, whereas a nonlinear correlation was found for sandy soils [38]. Given a constant value for the normal contact stiffness, both Young's modulus and Poisson's ratio were found to be linearly related to the tangential contact stiffness [4,38], despite the fact that normal and tangential stiffnesses can jointly affect the deformability of a granular material. The micromechanical parameters that characterize deformability (e.g., contact stiffnesses) and yield (e.g., intergranular friction angle), however, are generally believed to be uncoupled, and thus can be calibrated separately.…”

Section: Introductionmentioning

confidence: 99%

“…Assuming homogeneous macroscopic deformation, the effective elastic properties of an ideal granular packing can be derived analytically from contact mechanics theories, micromechanical parameters and the microstructure of 4 Graduate School for International Development and Cooperation, Hiroshima University, 1-5-1, Kagamiyama, Higashi-Hiroshima 739-8529, Japan the packing [26,31,35,46], which to some extent facilitates the calibration of DEM models with analytical macromicro relations. Experimental studies were also conducted to improve the theories based on measured micromechanical [13,37] and microstructural behaviors [19,36] of grains and granular assemblies.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter

et al. 2018

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The calibration of discrete element method (DEM) simulations is typically accomplished in a trial-and-error manner. It generally lacks objectivity and is filled with uncertainties. To deal with these issues, the sequential quasi-Monte Carlo (SQMC) filter is employed as a novel approach to calibrating the DEM models of granular materials. Within the sequential Bayesian framework, the posterior probability density functions (PDFs) of micromechanical parameters, conditioned to the experimentally obtained stress-strain behavior of granular soils, are approximated by independent model trajectories. In this work, two different contact laws are employed in DEM simulations and a granular soil specimen is modeled as polydisperse packing using various numbers of spherical grains. Knowing the evolution of physical states of the material, the proposed probabilistic calibration method can recursively update the posterior PDFs in a five-dimensional parameter space based on the Bayes' rule. Both the identified parameters and posterior PDFs are analyzed to understand the effect of grain configuration and loading conditions. Numerical predictions using parameter sets with the highest posterior probabilities agree well with the experimental results. The advantage of the SQMC filter lies in the estimation of posterior PDFs, from which the robustness of the selected contact laws, the uncertainties of the micromechanical parameters and their interactions are all analyzed. The micro-macro correlations, which are byproducts of the probabilistic calibration, are extracted to provide insights into the multiscale mechanics of dense granular materials.

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“…Spherical particles roll easier than non-spherical particles, so spherical particle model underestimates friction angle and overestimates the dilatancy angle. A compromise way used here is to add a rolling resistance to the interaction to model the moment transmitted during rolling of the two contacting particles [9] . A DEM model considered rolling resistance, is applied to model Chende sand, which is a medium dense to dense 3252 Advances in Civil and Industrial Engineering sand.…”

Section: Application In Granular Materialsmentioning

confidence: 99%

Numerical Triaxial Apparatus and Application

Wang

2013

AMM

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Abstract.A numerical triaxial apparatus based on discrete element method is developed on the platform of Yade using Python script. A DEM model with rolling resistance contact considered is proposed for dense granular materials, which is then applied in triaxial compression test of Chende sand. Stress-strain response and volume-axial strain response of the DEM model agree well with that of experiments, with a good prediction of dilatancy angle. Degradation of granular materials duo to particle erosion is also investigated using triaxial compression tests. It is indicated that peak friction angle decreases with the remove of particles if strong force network of granular materials is destroyed.

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Numerical simulation of drained triaxial test using 3D discrete element modeling

Cited by 324 publications

References 14 publications

Investigation of granular batch sedimentation via DEM–CFD coupling

Investigation of granular batch sedimentation via DEM–CFD coupling

Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter

Numerical Triaxial Apparatus and Application

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