Journal article 1052 views 456 downloads
MPM simulation of interacting fluids and solids
Computer Graphics Forum, Volume: 37, Issue: 8, Pages: 183 - 193
Swansea University Author: Chenfeng Li
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DOI (Published version): 10.1111/cgf.13523
Abstract
The material point method (MPM) has attracted increasing attention from the graphics community, as it combines the strengths of both particle‐ and grid‐based solvers. Like the smoothed particle hydrodynamics (SPH) scheme, MPM uses particles to discretize the simulation domain and represent the funda...
Published in: | Computer Graphics Forum |
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ISSN: | 0167-7055 |
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2018
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URI: | https://cronfa.swan.ac.uk/Record/cronfa44579 |
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2019-03-25T14:27:24.8875491 v2 44579 2018-09-24 MPM simulation of interacting fluids and solids 82fe170d5ae2c840e538a36209e5a3ac 0000-0003-0441-211X Chenfeng Li Chenfeng Li true false 2018-09-24 CIVL The material point method (MPM) has attracted increasing attention from the graphics community, as it combines the strengths of both particle‐ and grid‐based solvers. Like the smoothed particle hydrodynamics (SPH) scheme, MPM uses particles to discretize the simulation domain and represent the fundamental unknowns. This makes it insensitive to geometric and topological changes, and readily parallelizable on a GPU. Like grid‐based solvers, MPM uses a background mesh for calculating spatial derivatives, providing more accurate and more stable results than a purely particle‐based scheme. MPM has been very successful in simulating both fluid flow and solid deformation, but less so in dealing with multiple fluids and solids, where the dynamic fluid‐solid interaction poses a major challenge. To address this shortcoming of MPM, we propose a new set of mathematical and computational schemes which enable efficient and robust fluid‐solid interaction within the MPM framework. These versatile schemes support simulation of both multiphase flow and fully‐coupled solid‐fluid systems. A series of examples is presented to demonstrate their capabilities and performance in the presence of various interacting fluids and solids, including multiphase flow, fluid‐solid interaction, and dissolution. Journal Article Computer Graphics Forum 37 8 183 193 0167-7055 CCS Concepts 31 12 2018 2018-12-31 10.1111/cgf.13523 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University 2019-03-25T14:27:24.8875491 2018-09-24T13:27:07.3957278 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering X. Yan 1 C-F. Li 2 X-S. Chen 3 S-M. Hu 4 Chenfeng Li 0000-0003-0441-211X 5 0044579-01102018144752.pdf yan2018.pdf 2018-10-01T14:47:52.7070000 Output 9142664 application/pdf Accepted Manuscript true 2019-09-12T00:00:00.0000000 true eng |
title |
MPM simulation of interacting fluids and solids |
spellingShingle |
MPM simulation of interacting fluids and solids Chenfeng Li |
title_short |
MPM simulation of interacting fluids and solids |
title_full |
MPM simulation of interacting fluids and solids |
title_fullStr |
MPM simulation of interacting fluids and solids |
title_full_unstemmed |
MPM simulation of interacting fluids and solids |
title_sort |
MPM simulation of interacting fluids and solids |
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82fe170d5ae2c840e538a36209e5a3ac |
author_id_fullname_str_mv |
82fe170d5ae2c840e538a36209e5a3ac_***_Chenfeng Li |
author |
Chenfeng Li |
author2 |
X. Yan C-F. Li X-S. Chen S-M. Hu Chenfeng Li |
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Journal article |
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Computer Graphics Forum |
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37 |
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8 |
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183 |
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2018 |
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Swansea University |
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0167-7055 |
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10.1111/cgf.13523 |
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Faculty of Science and Engineering |
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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 |
The material point method (MPM) has attracted increasing attention from the graphics community, as it combines the strengths of both particle‐ and grid‐based solvers. Like the smoothed particle hydrodynamics (SPH) scheme, MPM uses particles to discretize the simulation domain and represent the fundamental unknowns. This makes it insensitive to geometric and topological changes, and readily parallelizable on a GPU. Like grid‐based solvers, MPM uses a background mesh for calculating spatial derivatives, providing more accurate and more stable results than a purely particle‐based scheme. MPM has been very successful in simulating both fluid flow and solid deformation, but less so in dealing with multiple fluids and solids, where the dynamic fluid‐solid interaction poses a major challenge. To address this shortcoming of MPM, we propose a new set of mathematical and computational schemes which enable efficient and robust fluid‐solid interaction within the MPM framework. These versatile schemes support simulation of both multiphase flow and fully‐coupled solid‐fluid systems. A series of examples is presented to demonstrate their capabilities and performance in the presence of various interacting fluids and solids, including multiphase flow, fluid‐solid interaction, and dissolution. |
published_date |
2018-12-31T03:55:51Z |
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1763752805821054976 |
score |
11.037603 |