• Title of article

    Micromechanical modelling of oval particulates subjected to bi-axial compression

  • Author/Authors

    Antony، نويسنده , , S.J and Momoh، نويسنده , , R.O and Kuhn، نويسنده , , M.R، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    5
  • From page
    494
  • To page
    498
  • Abstract
    One of the questions that still remain unanswered among researchers dealing with granular materials is how far the particle shape affects the micro-macroscopic features of granular assemblies under mechanical loading. The latest advances made with particle instrumentation allow us to capture realistic particle shapes and size distribution of powders to a fair degree of accuracy at different length scales. Industrial applications often require information on the micromechanical behaviour of granular assemblies having different particle shapes and varying surface characteristics, which still remains largely unanswered. Traditionally, simulations based on discrete element method (DEM) idealise the shape of individual particles as either circular or spherical. In the present investigation, we analyse the influence of particle shape on the shear deformation characteristics of two dimensional granular assemblies using DEM. We prepared the assemblies having nearly an identical initial packing fraction (dense), but with different basic shapes of the individual particles: (a) oval and (b) circular for comparison purposes. The granular assemblies were subjected to bi-axial compression test. We present the evolution of macroscopic strength parameters and microscopic structural/topological parameters during mechanical loading. We show that the micromechanical properties of granular systems are significantly influenced by the shape of the individual particles constituting the granular assemblies.
  • Keywords
    Micromechanics , Shape effects , Particulate Materials , Micro-macroscopic properties
  • Journal title
    Computational Materials Science
  • Serial Year
    2004
  • Journal title
    Computational Materials Science
  • Record number

    1680349