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A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles

Xiang Wang, Zhen-Yu Yin, Dong Su, Hao Xiong, Yuntian Feng Orcid Logo

Computer Methods in Applied Mechanics and Engineering, Volume: 386, Start page: 114071

Swansea University Author: Yuntian Feng Orcid Logo

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Abstract

This study presents a novel Arcs-based discrete element method (ArcDEM) for efficient simulation of realistic granules with arbitrary convex and concave 2D particle outlines. In the proposed ArcDEM, a series of computational geometry algorithms are first developed to identify the convex corners and...

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Published in: Computer Methods in Applied Mechanics and Engineering
ISSN: 0045-7825
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa57989
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first_indexed 2021-09-20T15:57:22Z
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spelling 2022-01-05T12:28:44.6276125 v2 57989 2021-09-20 A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles d66794f9c1357969a5badf654f960275 0000-0002-6396-8698 Yuntian Feng Yuntian Feng true false 2021-09-20 CIVL This study presents a novel Arcs-based discrete element method (ArcDEM) for efficient simulation of realistic granules with arbitrary convex and concave 2D particle outlines. In the proposed ArcDEM, a series of computational geometry algorithms are first developed to identify the convex corners and concave troughs of an arbitrary-shaped particle outline. Then, the circle-growing technique and the least squares method are combined to establish the Arcs-based particle that can represent the whole particle outline with multi-connected inward and outward arcs. Next, a new algorithm for efficient overlapping detection and precise contact resolution is developed for the Arcs-based particles. Finally, the ArcDEM is developed as a simulation tool with several implemented contact force laws and particle motions solved by an explicit time integration. To validate the feasibility and efficiency of the proposed ArcDEM, several numerical examples are performed, including (1) random allocation of non-overlapping irregular particles, (2) random packing of super-elliptical particles of different aspect ratios and blockiness, and (3) simulation of repose angle and biaxial compression tests of realistic rock particles with various roundness. The developed ArcDEM tool shows a powerful capability of numerically investigating the macro- and micromechanical properties of realistic convex and/or concave granular particles. Journal Article Computer Methods in Applied Mechanics and Engineering 386 114071 Elsevier BV 0045-7825 Particle shape, Discrete element method, Overlapping detection, Contact resolution, Granular material, Concave particle 1 12 2021 2021-12-01 10.1016/j.cma.2021.114071 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2022-01-05T12:28:44.6276125 2021-09-20T16:55:44.5606214 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Xiang Wang 1 Zhen-Yu Yin 2 Dong Su 3 Hao Xiong 4 Yuntian Feng 0000-0002-6396-8698 5
title A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
spellingShingle A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
Yuntian Feng
title_short A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
title_full A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
title_fullStr A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
title_full_unstemmed A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
title_sort A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
author_id_str_mv d66794f9c1357969a5badf654f960275
author_id_fullname_str_mv d66794f9c1357969a5badf654f960275_***_Yuntian Feng
author Yuntian Feng
author2 Xiang Wang
Zhen-Yu Yin
Dong Su
Hao Xiong
Yuntian Feng
format Journal article
container_title Computer Methods in Applied Mechanics and Engineering
container_volume 386
container_start_page 114071
publishDate 2021
institution Swansea University
issn 0045-7825
doi_str_mv 10.1016/j.cma.2021.114071
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 0
active_str 0
description This study presents a novel Arcs-based discrete element method (ArcDEM) for efficient simulation of realistic granules with arbitrary convex and concave 2D particle outlines. In the proposed ArcDEM, a series of computational geometry algorithms are first developed to identify the convex corners and concave troughs of an arbitrary-shaped particle outline. Then, the circle-growing technique and the least squares method are combined to establish the Arcs-based particle that can represent the whole particle outline with multi-connected inward and outward arcs. Next, a new algorithm for efficient overlapping detection and precise contact resolution is developed for the Arcs-based particles. Finally, the ArcDEM is developed as a simulation tool with several implemented contact force laws and particle motions solved by an explicit time integration. To validate the feasibility and efficiency of the proposed ArcDEM, several numerical examples are performed, including (1) random allocation of non-overlapping irregular particles, (2) random packing of super-elliptical particles of different aspect ratios and blockiness, and (3) simulation of repose angle and biaxial compression tests of realistic rock particles with various roundness. The developed ArcDEM tool shows a powerful capability of numerically investigating the macro- and micromechanical properties of realistic convex and/or concave granular particles.
published_date 2021-12-01T04:09:38Z
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score 10.926813