The effect of microscopic friction and size distributions on conditional probability distributions in soft particle packings

Kuniyasu Saitoh, Vanessa Magnanimo, Stefan Luding

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Employing two-dimensional molecular dynamics (MD) simulations of soft particles, we study their non-affine responses to quasi-static isotropic compression where the effects of microscopic friction between the particles in contact and particle size distributions are examined. To quantify complicated restructuring of force-chain networks under isotropic compression, we introduce the conditional probability distributions (CPDs) of particle overlaps such that a master equation for distribution of overlaps in the soft particle packings can be constructed. From our MD simulations, we observe that the CPDs are well described by q-Gaussian distributions, where we find that the correlation for the evolution of particle overlaps is suppressed by microscopic friction, while it significantly increases with the increase of poly-dispersity.

Original languageEnglish
Pages (from-to)409-417
Number of pages9
JournalComputational Particle Mechanics
Volume4
Issue number4
DOIs
Publication statusPublished - 2017 Oct 1

Keywords

  • DEM
  • Force-chain networks
  • Granular materials
  • Quasi-static deformations
  • Stochastic model

ASJC Scopus subject areas

  • Computational Mechanics
  • Civil and Structural Engineering
  • Numerical Analysis
  • Modelling and Simulation
  • Fluid Flow and Transfer Processes
  • Computational Mathematics

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