A spherical discrete element model: calibration procedure and incremental response

By J.-P. Plassiard, N. Belheine, Frederic Victor Donze. 2009

162 citations recorded by the source corpus.

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Failure in rate-independent granular materials as a bifurcation toward a dynamic regime (2012, unknown): “This number of particles is a satisfactory compromise between the computation cost and result reproducibility, and Plassiard et al. (2009) showed that increasing the number of particles beyond 10,000 does not affect the results signiﬁcantly.”
Probabilistic calibration of discrete element simulations using the sequential quasi-Monte Carlo filter (2018, background): “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 [3”
A bonded-particle model for cemented sand (2013, background): “Others replace the latex membrane by servo controlled rigid walls [41,44,51].”
A Study of Three Intrinsic Problems of the Classic Discrete Element Method Using Flat-Joint Model (2016, background): “As argued by some researchers (Plassiard et al. 2009; Wang and Mora 2008), particle rotation and rotational resistance play a significant role not only in real materials, but also in simulations.”
A novel three-dimensional contact model for granulates incorporating rolling and twisting resistances (2015, methodology): “[19,45,51]), leading to inaccurate kinematics of the 3D particles.”