Random generation of convex granule packing based on weighted Voronoi tessellation and cubic-polynomial-curve fitting

Xiang Wang; Jian Gong; Aijun An; Kai Zhang; Zhihong Nie

doi:10.1016/j.compgeo.2019.05.003

Random generation of convex granule packing based on weighted Voronoi tessellation and cubic-polynomial-curve fitting

Xiang Wang, Jian Gong, Aijun An, Kai Zhang, Zhihong Nie

Research output: Journal article publication › Journal article › Academic research › peer-review

25 Citations (Scopus)

Abstract

This study presents a novel approach to randomly generating 2D packing of a particle assembly for discrete element simulation of convex granules. The proposed approach for constructing a random packing of granular media consists of two major processes: (1) based on Voronoi tessellation, the sample domain is discretized into numerous polygonal cells, which satisfy the desired cell size distribution, and (2) nonoverlapping particle outlines are generated via cubic-polynomial-curve fitting to polygonal cells, with consideration of the various interparticle contact conditions. The capabilities and potential usefulness of the proposed algorithms for the study of geotechnical granular materials are demonstrated through several numerical examples.

Original language	English
Article number	103088
Journal	Computers and Geotechnics
Volume	113
DOIs	https://doi.org/10.1016/j.compgeo.2019.05.003
Publication status	Published - Sept 2019
Externally published	Yes

Keywords

Convex granular media
Discrete element modeling
Interparticle contact types
Particle packing
Particle size distribution
Voronoi tessellation

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Computer Science Applications

More information

10.1016/j.compgeo.2019.05.003

Cite this

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title = "Random generation of convex granule packing based on weighted Voronoi tessellation and cubic-polynomial-curve fitting",

abstract = "This study presents a novel approach to randomly generating 2D packing of a particle assembly for discrete element simulation of convex granules. The proposed approach for constructing a random packing of granular media consists of two major processes: (1) based on Voronoi tessellation, the sample domain is discretized into numerous polygonal cells, which satisfy the desired cell size distribution, and (2) nonoverlapping particle outlines are generated via cubic-polynomial-curve fitting to polygonal cells, with consideration of the various interparticle contact conditions. The capabilities and potential usefulness of the proposed algorithms for the study of geotechnical granular materials are demonstrated through several numerical examples.",

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AU - Wang, Xiang

AU - Gong, Jian

AU - An, Aijun

AU - Zhang, Kai

AU - Nie, Zhihong

PY - 2019/9

Y1 - 2019/9

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AB - This study presents a novel approach to randomly generating 2D packing of a particle assembly for discrete element simulation of convex granules. The proposed approach for constructing a random packing of granular media consists of two major processes: (1) based on Voronoi tessellation, the sample domain is discretized into numerous polygonal cells, which satisfy the desired cell size distribution, and (2) nonoverlapping particle outlines are generated via cubic-polynomial-curve fitting to polygonal cells, with consideration of the various interparticle contact conditions. The capabilities and potential usefulness of the proposed algorithms for the study of geotechnical granular materials are demonstrated through several numerical examples.

KW - Convex granular media

KW - Discrete element modeling

KW - Interparticle contact types

KW - Particle packing

KW - Particle size distribution

KW - Voronoi tessellation

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DO - 10.1016/j.compgeo.2019.05.003

M3 - Journal article

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SN - 0266-352X

VL - 113

JO - Computers and Geotechnics

JF - Computers and Geotechnics

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ER -

Random generation of convex granule packing based on weighted Voronoi tessellation and cubic-polynomial-curve fitting

Abstract

Keywords

ASJC Scopus subject areas

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