research-article

Interlinked SPH Pressure Solvers for Strong Fluid-Rigid Coupling

Authors:

Christoph Gissler,

Matthias TeschnerAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 38, Issue 1

Article No.: 5, Pages 1 - 13

https://doi.org/10.1145/3284980

Published: 19 January 2019 Publication History

Abstract

We present a strong fluid-rigid coupling for Smoothed Particle Hydrodynamics (SPH) fluids and rigid bodies with particle-sampled surfaces. The approach interlinks the iterative pressure update at fluid particles with a second SPH solver that computes artificial pressure at rigid-body particles. The introduced SPH rigid-body solver models rigid-rigid contacts as artificial density deviations at rigid-body particles. The corresponding pressure is iteratively computed by solving a global formulation that is particularly useful for large numbers of rigid-rigid contacts. Compared to previous SPH coupling methods, the proposed concept stabilizes the fluid-rigid interface handling. It significantly reduces the computation times of SPH fluid simulations by enabling larger time steps. Performance gain factors of up to 58 compared to previous methods are presented. We illustrate the flexibility of the presented fluid-rigid coupling by integrating it into DFSPH, IISPH, and a recent SPH solver for highly viscous fluids. We further show its applicability to a recent SPH solver for elastic objects. Large scenarios with up to 90M particles of various interacting materials and complex contact geometries with up to 90k rigid-rigid contacts are shown. We demonstrate the competitiveness of our proposed rigid-body solver by comparing it to Bullet.

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Cited By

Liu SHe XGuo YChang YWang W(2024)A Dual-Particle Approach for Incompressible SPH FluidsACM Transactions on Graphics10.1145/364988843:3(1-18)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3649888
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: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3272156
Wang TXu YLi RWang HXiong YWang X(2024)Simulating hyperelastic materials with anisotropic stiffness models in a particle-based frameworkComputers and Graphics10.1016/j.cag.2023.09.007116:C(437-447)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.09.007
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Index Terms

Interlinked SPH Pressure Solvers for Strong Fluid-Rigid Coupling
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Physical simulation

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 38, Issue 1

February 2019

176 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3300145

Editor:
Marc Alexa
TU Berlin, Germany

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Copyright © 2019 ACM.

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Publication History

Published: 19 January 2019

Accepted: 01 September 2018

Revised: 01 September 2018

Received: 01 July 2018

Published in TOG Volume 38, Issue 1

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Cited By

Liu SHe XGuo YChang YWang W(2024)A Dual-Particle Approach for Incompressible SPH FluidsACM Transactions on Graphics10.1145/364988843:3(1-18)Online publication date: 9-Apr-2024
https://dl.acm.org/doi/10.1145/3649888
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: 1-Aug-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3272156
Wang TXu YLi RWang HXiong YWang X(2024)Simulating hyperelastic materials with anisotropic stiffness models in a particle-based frameworkComputers and Graphics10.1016/j.cag.2023.09.007116:C(437-447)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1016/j.cag.2023.09.007
Wang XXu YLiu SRen BKosinka JTelea AWang JSong CChang JLi CZhang JBan X(2024)Physics-based fluid simulation in computer graphics: Survey, research trends, and challengesComputational Visual Media10.1007/s41095-023-0368-yOnline publication date: 27-Apr-2024
https://doi.org/10.1007/s41095-023-0368-y
Cheng JLiu ZLiu TChai Y(2024)Simulation of Fabric Wetting Based on Particle SamplingBiologically Inspired Cognitive Architectures 202310.1007/978-3-031-50381-8_22(188-196)Online publication date: 14-Feb-2024
https://doi.org/10.1007/978-3-031-50381-8_22
Xiao YLiu K(2023)3D Surface-to-Surface Contact Algorithm for SPH Method and Its Application to Simulation of Impact Failure of Ceramic PlateApplied Sciences10.3390/app1306379013:6(3790)Online publication date: 16-Mar-2023
https://doi.org/10.3390/app13063790
Li MLi HMeng WZhu JZhang G(2023)An efficient non-iterative smoothed particle hydrodynamics fluid simulation method with variable smoothing lengthVisual Computing for Industry, Biomedicine, and Art10.1186/s42492-022-00128-x6:1Online publication date: 3-Jan-2023
https://doi.org/10.1186/s42492-022-00128-x
Jeske SWesthofen LLöschner FFernández-fernández JBender J(2023)Implicit Surface Tension for SPH Fluid SimulationACM Transactions on Graphics10.1145/363193643:1(1-14)Online publication date: 30-Nov-2023
https://dl.acm.org/doi/10.1145/3631936
Chu KHuang JTakana HKitamura Y(2023)Real-Time Reconstruction of Fluid Flow under Unknown DisturbanceACM Transactions on Graphics10.1145/362401143:1(1-14)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3624011
Li ZXu QYe XRen BLiu L(2023)DiffFR: Differentiable SPH-Based Fluid-Rigid Coupling for Rigid Body ControlACM Transactions on Graphics10.1145/361831842:6(1-17)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618318
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