An efficient large-scale DEM model initialization procedure

Matteo Ciantia, Tom Shire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In civil engineering, the discrete element method (DEM) is a numerical tool often used to reproduce soil behaviour at the elementary level. In general, small cubic or cylindrical samples are generated in a representative elementary volume (REV) to assess the micromechanical behaviour of the virtual soil. As the response of particulate media is strongly dependant on the initial state (stress and porosity), sample generation is the most crucial part of a DEM model and different procedures have been established to prepare homogeneous REVs. Thanks to the technological improvement of both hardware and software, in recent years the DEM has started to be used to simulate large-scale boundary value problems (BVPs). However, the use of any of the existing procedures employed to prepare REV samples is unsatisfactory in terms of computational cost and sample homogeneity. In this work a simple but very efficient procedure to initialize large-scale DEM models is presented. Periodic cells are first generated with a sufficient number of particles (enough to consider the cell an REV) matching the desired particle size distribution (PSD) and equilibrated at 100 kPa isotropic stress state at the desired porosity. Once the cell is in equilibrium, it is replicated in space in order to fill the problem domain. Once the BVP’s model is filled, only a small number of mechanical cycles are needed to equilibrate the large domain. The result is an equilibrated homogeneous sample at the desired porosity in a large volume. Results of shearing test simulations on such samples are presented and compared to simulations using the smaller REVs alone.
Original languageEnglish
Title of host publicationProceedings of the 25th UKACM Conference on Computational Mechanics
EditorsAsaad Faramarzi, Samir Dirar
Place of PublicationBirmingham, United Kingdom
PublisherUniversity of Birmingham
Pages187-190
Number of pages4
Publication statusPublished - 2017
Event25th UKACM Conference on Computational Mechanics - University of Birmingham, Birmingham, United Kingdom
Duration: 11 Apr 201713 Apr 2017
http://ukacm2017.ukacm.org/

Conference

Conference25th UKACM Conference on Computational Mechanics
CountryUnited Kingdom
CityBirmingham
Period11/04/1713/04/17
Internet address

Keywords

  • DEM
  • Periodic Cells
  • Sample preparation
  • BVP

Fingerprint Dive into the research topics of 'An efficient large-scale DEM model initialization procedure'. Together they form a unique fingerprint.

Cite this