A parallel Discrete Element Method to model collisions between non-convex particles

In many dry granular and suspension flow configurations, particles can be highly non-spherical. It is now well established in the literature that particle shape affects the flow dynamics or the microstructure of the particles assembly in assorted ways as e.g. compacity of packed bed or heap, dilatio...

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Main Authors: Rakotonirina Andriarimina Daniel, Delenne Jean-Yves, Wachs Anthony
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714006004
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spelling doaj-0b8142f30ae44eddb4cd676a38fb635c2021-08-02T06:59:15ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011400600410.1051/epjconf/201714006004epjconf162016A parallel Discrete Element Method to model collisions between non-convex particlesRakotonirina Andriarimina Daniel0Delenne Jean-Yves1Wachs AnthonyDepartment of Mathematics, University of British ColumbiaIATE, UMR 1208 INRA – CIRAD – Montpellier Supagro – Université Montpellier 2In many dry granular and suspension flow configurations, particles can be highly non-spherical. It is now well established in the literature that particle shape affects the flow dynamics or the microstructure of the particles assembly in assorted ways as e.g. compacity of packed bed or heap, dilation under shear, resistance to shear, momentum transfer between translational and angular motions, ability to form arches and block the flow. In this talk, we suggest an accurate and efficient way to model collisions between particles of (almost) arbitrary shape. For that purpose, we develop a Discrete Element Method (DEM) combined with a soft particle contact model. The collision detection algorithm handles contacts between bodies of various shape and size. For nonconvex bodies, our strategy is based on decomposing a non-convex body into a set of convex ones. Therefore, our novel method can be called “glued-convex method” (in the sense clumping convex bodies together), as an extension of the popular “glued-spheres” method, and is implemented in our own granular dynamics code Grains3D. Since the whole problem is solved explicitly, our fully-MPI parallelized code Grains3D exhibits a very high scalability when dynamic load balancing is not required. In particular, simulations on up to a few thousands cores in configurations involving up to a few tens of millions of particles can readily be performed. We apply our enhanced numerical model to (i) the collapse of a granular column made of convex particles and (i) the microstructure of a heap of non-convex particles in a cylindrical reactor.https://doi.org/10.1051/epjconf/201714006004
collection DOAJ
language English
format Article
sources DOAJ
author Rakotonirina Andriarimina Daniel
Delenne Jean-Yves
Wachs Anthony
spellingShingle Rakotonirina Andriarimina Daniel
Delenne Jean-Yves
Wachs Anthony
A parallel Discrete Element Method to model collisions between non-convex particles
EPJ Web of Conferences
author_facet Rakotonirina Andriarimina Daniel
Delenne Jean-Yves
Wachs Anthony
author_sort Rakotonirina Andriarimina Daniel
title A parallel Discrete Element Method to model collisions between non-convex particles
title_short A parallel Discrete Element Method to model collisions between non-convex particles
title_full A parallel Discrete Element Method to model collisions between non-convex particles
title_fullStr A parallel Discrete Element Method to model collisions between non-convex particles
title_full_unstemmed A parallel Discrete Element Method to model collisions between non-convex particles
title_sort parallel discrete element method to model collisions between non-convex particles
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description In many dry granular and suspension flow configurations, particles can be highly non-spherical. It is now well established in the literature that particle shape affects the flow dynamics or the microstructure of the particles assembly in assorted ways as e.g. compacity of packed bed or heap, dilation under shear, resistance to shear, momentum transfer between translational and angular motions, ability to form arches and block the flow. In this talk, we suggest an accurate and efficient way to model collisions between particles of (almost) arbitrary shape. For that purpose, we develop a Discrete Element Method (DEM) combined with a soft particle contact model. The collision detection algorithm handles contacts between bodies of various shape and size. For nonconvex bodies, our strategy is based on decomposing a non-convex body into a set of convex ones. Therefore, our novel method can be called “glued-convex method” (in the sense clumping convex bodies together), as an extension of the popular “glued-spheres” method, and is implemented in our own granular dynamics code Grains3D. Since the whole problem is solved explicitly, our fully-MPI parallelized code Grains3D exhibits a very high scalability when dynamic load balancing is not required. In particular, simulations on up to a few thousands cores in configurations involving up to a few tens of millions of particles can readily be performed. We apply our enhanced numerical model to (i) the collapse of a granular column made of convex particles and (i) the microstructure of a heap of non-convex particles in a cylindrical reactor.
url https://doi.org/10.1051/epjconf/201714006004
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