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A novel fluid-solid coupling framework integrating FLIP and shape matching methods

Authors:

Aimin HaoAuthors Info & Claims

CGI '17: Proceedings of the Computer Graphics International Conference

Article No.: 11, Pages 1 - 6

https://doi.org/10.1145/3095140.3095151

Published: 27 June 2017 Publication History

Abstract

Physically-based fluid animation and solid deformation driven by numerical simulation have manifested their significance for many graphics applications during the past two decades. For example, the fluid implicit particle (FLIP) method and shape matching technique based on position based dynamics (PBD) have demonstrated their unique graphics strength in fluid and solid animation, respectively. We propose a novel integrated approach supporting the seamless unification of FLIP and shape matching. We devise new algorithms to tackle existing difficulties when handling new phenomena such as high-fidelity fluid-solid interaction and solid melting. The key innovation of this paper is a unified Lagrangian framework that seamlessly blends FLIP and PBD based shape matching constraint towards the natural yet strong coupling between fluid and deformable solid. Within our integrated framework, it enables many complicated fluid-solid phenomena with ease. We conduct various kinds of experiments. All the results demonstrate the advantages of our unified hybrid approach towards visual fidelity, efficiency, stability, and versatility.

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Cited By

Li JGao YDai JLi SHao AQin H(2024)MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid InteractionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327215630:8(4694-4708)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3272156
Cheng JLiu ZLiu TChai Y(2024)A Parallel Ice Melting Simulation Based on ParticleBiologically Inspired Cognitive Architectures 202310.1007/978-3-031-50381-8_23(197-207)Online publication date: 14-Feb-2024
https://doi.org/10.1007/978-3-031-50381-8_23
Lyu CLi WDesbrun MLiu X(2021)Fast and versatile fluid-solid coupling for turbulent flow simulationACM Transactions on Graphics10.1145/3478513.348049340:6(1-18)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480493
Show More Cited By

Index Terms

A novel fluid-solid coupling framework integrating FLIP and shape matching methods
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Physical simulation

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Information & Contributors

Information

Published In

cover image ACM Other conferences

CGI '17: Proceedings of the Computer Graphics International Conference

June 2017

260 pages

ISBN:9781450352284

DOI:10.1145/3095140

Program Chairs:
Xiaoyang Mao
University of Yamanashi, Japan
,
Daniel Thalmann
NTU, Singapore & EPFL IC-DO, Switzerland
,
Marina Gavrilova
University of Calgary, Canada

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2017

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Short-paper

Funding Sources

National Natural Science Foundation of China
National Science Foundation of USA
Applied BasicResearch Program of Qingdao

Conference

CGI '17

CGI '17: Computer Graphics International 2017

June 27 - 30, 2017

Yokohama, Japan

Acceptance Rates

Overall Acceptance Rate 35 of 159 submissions, 22%

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Citations

Cited By

Li JGao YDai JLi SHao AQin H(2024)MPMNet: A Data-Driven MPM Framework for Dynamic Fluid-Solid InteractionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.327215630:8(4694-4708)Online publication date: Aug-2024
https://doi.org/10.1109/TVCG.2023.3272156
Cheng JLiu ZLiu TChai Y(2024)A Parallel Ice Melting Simulation Based on ParticleBiologically Inspired Cognitive Architectures 202310.1007/978-3-031-50381-8_23(197-207)Online publication date: 14-Feb-2024
https://doi.org/10.1007/978-3-031-50381-8_23
Lyu CLi WDesbrun MLiu X(2021)Fast and versatile fluid-solid coupling for turbulent flow simulationACM Transactions on Graphics10.1145/3478513.348049340:6(1-18)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480493
Gao YZhang QLi SHao AQin H(2020)Accelerating Liquid Simulation With an Improved Data‐Driven MethodComputer Graphics Forum10.1111/cgf.1401039:6(180-191)Online publication date: 6-May-2020
https://doi.org/10.1111/cgf.14010
Zheng ZGao YLi SQin HHao ABao HIp HSeidel HSheffer AFu HGhosh AKopf J(2018)Robust and efficient SPH simulation for high-speed fluids with the dynamic particle partitioning methodProceedings of the 26th Pacific Conference on Computer Graphics and Applications: Short Papers10.2312/pg.20181268(9-12)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.2312/pg.20181268
Ren BYang XLin MThuerey NTeschner MLi C(2018)Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art ReportJournal of Computer Science and Technology10.1007/s11390-018-1829-033:3(431-451)Online publication date: 11-May-2018
https://doi.org/10.1007/s11390-018-1829-0
Gao YLi SQin HXu YHao A(2018)An efficient FLIP and shape matching coupled method for fluid–solid and two-phase fluid simulationsThe Visual Computer10.1007/s00371-018-1569-8Online publication date: 11-Jun-2018
https://doi.org/10.1007/s00371-018-1569-8

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