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A generalised multi-scale Peridynamics–DEM framework and its application to rigid–soft particle mixtures.

Authors :
Hartmann, Philipp
Thoeni, Klaus
Rojek, Jerzy
Source :
Computational Mechanics. Jan2023, Vol. 71 Issue 1, p107-126. 20p.
Publication Year :
2023

Abstract

The discrete element method (DEM) is the most dominant method for the numerical prediction of dynamic behaviour at grain or particle scale. Nevertheless, due to its discontinuous nature, the DEM is inherently unable to describe microscopic features of individual bodies which can be considered as continuous bodies. To incorporate microscopic features, efficient numerical coupling of the DEM with a continuous method is generally necessary. Thus, a generalised multi-scale PD–DEM framework is developed in this work. In the developed framework, meshfree discretised Peridynamics (PD) is used to describe intra-particle forces within bodies to capture microscopic features. The inter-particle forces of rigid bodies are defined by the DEM whereas a hybrid approach is applied at the PD–DEM interface. In addition, a staggered multi-scale time integration scheme is formulated to allow for an efficient numerical treatment of both methods. Validation examples are presented and the applicability of the developed framework to capture the characteristics mixtures with rigid and deformable bodies is shown. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01787675
Volume :
71
Issue :
1
Database :
Academic Search Index
Journal :
Computational Mechanics
Publication Type :
Academic Journal
Accession number :
161359580
Full Text :
https://doi.org/10.1007/s00466-022-02227-1