Journal article 858 views
A novel Arcs-based discrete element modeling of arbitrary convex and concave 2D particles
Computer Methods in Applied Mechanics and Engineering, Volume: 386, Start page: 114071
Swansea University Author: Yuntian Feng
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DOI (Published version): 10.1016/j.cma.2021.114071
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...
Published in: | Computer Methods in Applied Mechanics and Engineering |
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ISSN: | 0045-7825 |
Published: |
Elsevier BV
2021
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URI: | https://cronfa.swan.ac.uk/Record/cronfa57989 |
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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 ACEM 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 Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM 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 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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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 |
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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 |
2021-12-01T20:05:21Z |
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1821346649942786048 |
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11.04748 |