Multisphere Representation of Convex Polyhedral Particles for DEM Simulation

The representation of particles of complex shapes is one of the key challenges of numerical simulations based on the discrete element method (DEM). A novel algorithm has been developed by the authors to accurately represent 2D arbitrary particles for DEM modelling. In this paper, the algorithm is ex...

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Main Authors: Qiang Zhang, Chaojun Jia, Jun Yu, Jiawen Zhou
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/8846004
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spelling doaj-529e6a6903e34024853234527c877c462021-02-15T12:52:54ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/88460048846004Multisphere Representation of Convex Polyhedral Particles for DEM SimulationQiang Zhang0Chaojun Jia1Jun Yu2Jiawen Zhou3China Institute of Water Resources and Hydropower Research, Beijing 100048, ChinaState Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources, Beijing 100048, ChinaSchool of Transportation and Civil Engineering, Nantong University, Nantong 226019, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaThe representation of particles of complex shapes is one of the key challenges of numerical simulations based on the discrete element method (DEM). A novel algorithm has been developed by the authors to accurately represent 2D arbitrary particles for DEM modelling. In this paper, the algorithm is extended from 2D to 3D to model convex polyhedral particles based on multisphere methods, which includes three steps: the placement of spheres at the corners, along the edges, and on the facets in sequence. To give a good representation of a polyhedral particle, the spheres are placed tangent to the particle surface in each step. All spheres placed in the three steps are clumped together into a clump in DEM. In addition, the mass properties of the clump are determined based on the corresponding polyhedral particle to obtain accurate simulation results. Finally, an example is used to validate the robust and automatic performance of the algorithm in generating a sphere clump model for an assembly of polyhedral particles. A current FORTRAN version of the algorithm is available by contacting the authors.http://dx.doi.org/10.1155/2021/8846004
collection DOAJ
language English
format Article
sources DOAJ
author Qiang Zhang
Chaojun Jia
Jun Yu
Jiawen Zhou
spellingShingle Qiang Zhang
Chaojun Jia
Jun Yu
Jiawen Zhou
Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
Advances in Civil Engineering
author_facet Qiang Zhang
Chaojun Jia
Jun Yu
Jiawen Zhou
author_sort Qiang Zhang
title Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
title_short Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
title_full Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
title_fullStr Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
title_full_unstemmed Multisphere Representation of Convex Polyhedral Particles for DEM Simulation
title_sort multisphere representation of convex polyhedral particles for dem simulation
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8086
1687-8094
publishDate 2021-01-01
description The representation of particles of complex shapes is one of the key challenges of numerical simulations based on the discrete element method (DEM). A novel algorithm has been developed by the authors to accurately represent 2D arbitrary particles for DEM modelling. In this paper, the algorithm is extended from 2D to 3D to model convex polyhedral particles based on multisphere methods, which includes three steps: the placement of spheres at the corners, along the edges, and on the facets in sequence. To give a good representation of a polyhedral particle, the spheres are placed tangent to the particle surface in each step. All spheres placed in the three steps are clumped together into a clump in DEM. In addition, the mass properties of the clump are determined based on the corresponding polyhedral particle to obtain accurate simulation results. Finally, an example is used to validate the robust and automatic performance of the algorithm in generating a sphere clump model for an assembly of polyhedral particles. A current FORTRAN version of the algorithm is available by contacting the authors.
url http://dx.doi.org/10.1155/2021/8846004
work_keys_str_mv AT qiangzhang multisphererepresentationofconvexpolyhedralparticlesfordemsimulation
AT chaojunjia multisphererepresentationofconvexpolyhedralparticlesfordemsimulation
AT junyu multisphererepresentationofconvexpolyhedralparticlesfordemsimulation
AT jiawenzhou multisphererepresentationofconvexpolyhedralparticlesfordemsimulation
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