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Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges

Xiaokun Wang, Yanrui Xu, Sinuo Liu, Bo Ren, Jiří Kosinka, Alexandru C. Telea, Jiamin Wang, Chongming Song, Jian Chang, Chenfeng Li Orcid Logo, Jian Jun Zhang, Xiaojuan Ban

Computational Visual Media, Volume: 10, Issue: 5, Pages: 803 - 858

Swansea University Author: Chenfeng Li Orcid Logo

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Abstract

Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency. Novel techniques have emerged to deal with complex boundaries, mul...

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Published in: Computational Visual Media
ISSN: 2096-0433 2096-0662
Published: Springer Nature 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa68067
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spelling v2 68067 2024-10-25 Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges 82fe170d5ae2c840e538a36209e5a3ac 0000-0003-0441-211X Chenfeng Li Chenfeng Li true false 2024-10-25 ACEM Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency. Novel techniques have emerged to deal with complex boundaries, multiphase fluids, gas–liquid interfaces, and fine details. The parallel use of machine learning, image processing, and fluid control technologies has brought many interesting and novel research perspectives. In this survey, we provide an introduction to theoretical concepts underpinning physics-based fluid simulation and their practical implementation, with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fluid simulation, with a focus on developments in the last decade. Driven by the distribution of recent publications in the field, we structure our survey to cover physical background; discretization approaches; computational methods that address scalability; fluid interactions with other materials and interfaces; and methods for expressive aspects of surface detail and control. From a practical perspective, we give an overview of existing implementations available for the above methods. Journal Article Computational Visual Media 10 5 803 858 Springer Nature 2096-0433 2096-0662 Computer graphics, physical simulation, fluid simulation, fluid coupling 1 10 2024 2024-10-01 10.1007/s41095-023-0368-y Review Article COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University Another institution paid the OA fee This research was funded by National Key R&D Program of China (No. 2022ZD0118001), National Natural Science Foundation of China (Nos. 62376025 and 62332017), Horizon 2020-Marie Sklodowska-Curie Action-Individual Fellowships (No. 895941), and Guangdong Basic and Applied Basic Research Foundation (No. 2023A1515030177). 2024-10-25T13:28:02.0315954 2024-10-25T13:09:03.3454269 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Xiaokun Wang 1 Yanrui Xu 2 Sinuo Liu 3 Bo Ren 4 Jiří Kosinka 5 Alexandru C. Telea 6 Jiamin Wang 7 Chongming Song 8 Jian Chang 9 Chenfeng Li 0000-0003-0441-211X 10 Jian Jun Zhang 11 Xiaojuan Ban 12 68067__32723__71cd50566f7e4650a5da01acb831d79f.pdf 41095_2023_Article_368.pdf 2024-10-25T13:09:03.3451785 Output 16304432 application/pdf Version of Record true © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License. true eng http://creativecommons.org/licenses/by/4.0/
title Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
spellingShingle Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
Chenfeng Li
title_short Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
title_full Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
title_fullStr Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
title_full_unstemmed Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
title_sort Physics-based fluid simulation in computer graphics: Survey, research trends, and challenges
author_id_str_mv 82fe170d5ae2c840e538a36209e5a3ac
author_id_fullname_str_mv 82fe170d5ae2c840e538a36209e5a3ac_***_Chenfeng Li
author Chenfeng Li
author2 Xiaokun Wang
Yanrui Xu
Sinuo Liu
Bo Ren
Jiří Kosinka
Alexandru C. Telea
Jiamin Wang
Chongming Song
Jian Chang
Chenfeng Li
Jian Jun Zhang
Xiaojuan Ban
format Journal article
container_title Computational Visual Media
container_volume 10
container_issue 5
container_start_page 803
publishDate 2024
institution Swansea University
issn 2096-0433
2096-0662
doi_str_mv 10.1007/s41095-023-0368-y
publisher Springer Nature
college_str Faculty of Science and Engineering
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hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
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description Physics-based fluid simulation has played an increasingly important role in the computer graphics community. Recent methods in this area have greatly improved the generation of complex visual effects and its computational efficiency. Novel techniques have emerged to deal with complex boundaries, multiphase fluids, gas–liquid interfaces, and fine details. The parallel use of machine learning, image processing, and fluid control technologies has brought many interesting and novel research perspectives. In this survey, we provide an introduction to theoretical concepts underpinning physics-based fluid simulation and their practical implementation, with the aim for it to serve as a guide for both newcomers and seasoned researchers to explore the field of physics-based fluid simulation, with a focus on developments in the last decade. Driven by the distribution of recent publications in the field, we structure our survey to cover physical background; discretization approaches; computational methods that address scalability; fluid interactions with other materials and interfaces; and methods for expressive aspects of surface detail and control. From a practical perspective, we give an overview of existing implementations available for the above methods.
published_date 2024-10-01T13:28:00Z
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