Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM

In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable solids in real time. To accurately model the coupling, we generate proxy particles over the boundary of deformable solids to facilitate the i...

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Veröffentlicht in:	Computer graphics forum Jg. 31; H. 7; S. 2037 - 2046
Hauptverfasser:	Yang, Lipeng, Li, Shuai, Hao, Aimin, Qin, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford, UK Blackwell Publishing Ltd 01.09.2012
Schlagworte:	Computational fluid dynamics Computer graphics Finite element method Fluid flow Fluids I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling Joining Mathematical models Nonlinear dynamics Nonlinearity Studies
ISSN:	0167-7055, 1467-8659
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Abstract	In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable solids in real time. To accurately model the coupling, we generate proxy particles over the boundary of deformable solids to facilitate the interaction with fluid particles, and develop an efficient method to distribute the coupling forces of proxy particles to FEM nodal points. Specifically, we employ the Total Lagrangian Explicit Dynamics (TLED) finite element algorithm for nonlinear FEM because of many of its attractive properties such as supporting massive parallelism, avoiding dynamic update of stiffness matrix computation, and efficient solver. Based on a predictor‐corrector scheme for both velocity and position, different normal and tangential conditions can be realized even for shell‐like thin solids. Our coupling method is entirely implemented on modern GPUs using CUDA. We demonstrate the advantage of our two‐way coupling method in computer animation via various virtual scenarios.
AbstractList	In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable solids in real time. To accurately model the coupling, we generate proxy particles over the boundary of deformable solids to facilitate the interaction with fluid particles, and develop an efficient method to distribute the coupling forces of proxy particles to FEM nodal points. Specifically, we employ the Total Lagrangian Explicit Dynamics (TLED) finite element algorithm for nonlinear FEM because of many of its attractive properties such as supporting massive parallelism, avoiding dynamic update of stiffness matrix computation, and efficient solver. Based on a predictor-corrector scheme for both velocity and position, different normal and tangential conditions can be realized even for shell-like thin solids. Our coupling method is entirely implemented on modern GPUs using CUDA. We demonstrate the advantage of our two-way coupling method in computer animation via various virtual scenarios. In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable solids in real time. To accurately model the coupling, we generate proxy particles over the boundary of deformable solids to facilitate the interaction with fluid particles, and develop an efficient method to distribute the coupling forces of proxy particles to FEM nodal points. Specifically, we employ the Total Lagrangian Explicit Dynamics (TLED) finite element algorithm for nonlinear FEM because of many of its attractive properties such as supporting massive parallelism, avoiding dynamic update of stiffness matrix computation, and efficient solver. Based on a predictor-corrector scheme for both velocity and position, different normal and tangential conditions can be realized even for shell-like thin solids. Our coupling method is entirely implemented on modern GPUs using CUDA. We demonstrate the advantage of our two-way coupling method in computer animation via various virtual scenarios. [PUBLICATION ABSTRACT]
Author	Qin, Hong Yang, Lipeng Hao, Aimin Li, Shuai
Author_xml	– sequence: 1 givenname: Lipeng surname: Yang fullname: Yang, Lipeng organization: State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China, lishuaiouc@126.com – sequence: 2 givenname: Shuai surname: Li fullname: Li, Shuai organization: State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China, lishuaiouc@126.com – sequence: 3 givenname: Aimin surname: Hao fullname: Hao, Aimin organization: State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, China, lishuaiouc@126.com – sequence: 4 givenname: Hong surname: Qin fullname: Qin, Hong organization: Stony Brook University, Stony Brook, USA, qin@cs.stonybrook.edu
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Cites_doi	10.1002/cnm.887 10.1145/2010324.1964976 10.1145/1576246.1531346 10.1145/1507149.1507164 10.1111/j.1467-8659.2010.01810.x 10.1016/j.cma.2010.06.037 10.1145/1360612.1360648 10.1007/978-3-642-28145-7_10 10.1016/j.media.2008.10.001 10.3917/ridp.781.0209 10.1109/TVCG.2008.107 10.1145/1073368.1073402 10.1145/2614348.2614375 10.1109/TMI.2007.913112 10.1145/1275808.1276437 10.1002/cav.162 10.1006/jcph.2001.6935 10.1146/annurev.aa.30.090192.002551 10.1109/CAD/Graphics.2011.33 10.1145/1852611.1852636 10.1111/j.1467-8659.2010.01832.x 10.1002/cav.18
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Snippet	In this paper, we present a novel method to couple Smoothed Particle Hydrodynamics (SPH) and nonlinear FEM to animate the interaction of fluids and deformable...
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Title	Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM
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