A new probabilistic approach for predicting particle crushing in one-dimensional compression of granular soil

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

35 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)833-844
Journal / PublicationSoils and Foundations
Volume54
Issue number4
Online published15 Jul 2014
Publication statusPublished - Aug 2014

Abstract

This paper presents a new probability-based method for the prediction of particle crushing in the one-dimensional compression of granular soil. The method is comprised of a joint-probability particle crushing criterion that takes into account the statistical particle-scale stress distribution information derived from the Discrete Element Method (DEM) simulations and Weibulls distribution of particle crushing strength. A normalized tensile stress index f and a diameter index Id are introduced to quantify the statistical particle-scale data. The method is further implemented in DEM simulations and verified by comparing the simulation results with the experimental data of oedometer tests of sands.

Research Area(s)

  • Discrete Element Method, Joint-probability crushing criterion, Particle crushing, Particle-scale stress distribution