Skip to main content

MultiScale Material Science for Energy and Environment

Logo MultiScale Material Science

MultiScale Materials Science for Energy and Environment

  • Home
  • The Lab
  • People
  • Publications
  • News / Events
  • GDRI
  • Home
  • The Lab
    • The Lab
    • Research
    • Education
    • Amazing People
    • Contact
  • People
  • Publications
  • News / Events
    • News
    • Seminars
    • Conferences
    • Winter School
  • GDRI
    • Presentation

Parallel implicit contact algorithm for soft particle systems

TitleParallel implicit contact algorithm for soft particle systems
Publication TypeJournal Article
Year of Publication2019
AuthorsNezamabadi S, Frank X, Delenne J-Y, Averseng J, Radjaï F
JournalComputer Physics Communications
Volume237
Pagination17 - 25
Date PublishedApr-01-2019
ISSN00104655
Abstract

This paper presents a numerical technique to model soft particle materials in which the particles can undergo large deformations. It combines an implicit finite strain formalism of the Material Point Method and the Contact Dynamics method. In this framework, the large deformations of individual particles as well as their collective interactions are treated consistently. In order to reduce the computational cost, this method is parallelised using the Message Passing Interface (MPI) strategy. Using this approach, we investigate the uniaxial compaction of 2D packings composed of particles governed by a Neo-Hookean material behaviour. We consider compressibility rates ranging from fully compressible to incompressible particles. The packing deformation mechanism is a combination of both particle rearrangements and large deformations, and leads to high packing fractions beyond the jamming state. We show that the packing strength declines when the particle compressibility decreases, and the packing can deform considerably. We also discuss the evolution of the connectivity of the particles and particle deformation distributions in the packing. (C) 2018 Elsevier B.V. All rights reserved.

URLhttps://linkinghub.elsevier.com/retrieve/pii/S0010465518303904
DOI10.1016/j.cpc.2018.10.030
Short TitleComputer Physics Communications
  • DOI
  • BibTex
  • RIS

Login using Touchstone
  • MIT
  • CNRS
  • INVESTISSEMENT D'AVENIR
  • CINAM
  • MITEI
  • AMU