Narrow Band FLIP for Liquid Simulations
The Fluid Implicit Particle method (FLIP) for liquid simulations uses particles to reduce numerical dissipation and provide important visual cues for events like complex splashes and small‐scale features near the liquid surface. Unfortunately, FLIP simulations can be computationally expensive, becau...
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| Vydáno v: | Computer graphics forum Ročník 35; číslo 2; s. 225 - 232 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford
Blackwell Publishing Ltd
01.05.2016
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| ISSN: | 0167-7055, 1467-8659 |
| On-line přístup: | Získat plný text |
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| Abstract | The Fluid Implicit Particle method (FLIP) for liquid simulations uses particles to reduce numerical dissipation and provide important visual cues for events like complex splashes and small‐scale features near the liquid surface. Unfortunately, FLIP simulations can be computationally expensive, because they require a dense sampling of particles to fill the entire liquid volume. Furthermore, the vast majority of these FLIP particles contribute nothing to the fluid's visual appearance, especially for larger volumes of liquid. We present a method that only uses FLIP particles within a narrow band of the liquid surface, while efficiently representing the remaining inner volume on a regular grid. We show that a naïve realization of this idea introduces unstable and uncontrollable energy fluctuations, and we propose a novel coupling scheme between FLIP particles and regular grid which overcomes this problem. Our method drastically reduces the particle count and simulation times while yielding results that are nearly indistinguishable from regular FLIP simulations. Our approach is easy to integrate into any existing FLIP implementation. |
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| AbstractList | The Fluid Implicit Particle method (FLIP) for liquid simulations uses particles to reduce numerical dissipation and provide important visual cues for events like complex splashes and small-scale features near the liquid surface. Unfortunately, FLIP simulations can be computationally expensive, because they require a dense sampling of particles to fill the entire liquid volume. Furthermore, the vast majority of these FLIP particles contribute nothing to the fluid's visual appearance, especially for larger volumes of liquid. We present a method that only uses FLIP particles within a narrow band of the liquid surface, while efficiently representing the remaining inner volume on a regular grid. We show that a naive realization of this idea introduces unstable and uncontrollable energy fluctuations, and we propose a novel coupling scheme between FLIP particles and regular grid which overcomes this problem. Our method drastically reduces the particle count and simulation times while yielding results that are nearly indistinguishable from regular FLIP simulations. Our approach is easy to integrate into any existing FLIP implementation. The Fluid Implicit Particle method (FLIP) for liquid simulations uses particles to reduce numerical dissipation and provide important visual cues for events like complex splashes and small‐scale features near the liquid surface. Unfortunately, FLIP simulations can be computationally expensive, because they require a dense sampling of particles to fill the entire liquid volume. Furthermore, the vast majority of these FLIP particles contribute nothing to the fluid's visual appearance, especially for larger volumes of liquid. We present a method that only uses FLIP particles within a narrow band of the liquid surface, while efficiently representing the remaining inner volume on a regular grid. We show that a naïve realization of this idea introduces unstable and uncontrollable energy fluctuations, and we propose a novel coupling scheme between FLIP particles and regular grid which overcomes this problem. Our method drastically reduces the particle count and simulation times while yielding results that are nearly indistinguishable from regular FLIP simulations. Our approach is easy to integrate into any existing FLIP implementation. |
| Author | Ando, Ryoichi Wojtan, Chris Thuerey, Nils Westermann, Rüdiger Ferstl, Florian |
| Author_xml | – sequence: 1 givenname: Florian surname: Ferstl fullname: Ferstl, Florian organization: Technische Universität München – sequence: 2 givenname: Ryoichi surname: Ando fullname: Ando, Ryoichi organization: IST Austria – sequence: 3 givenname: Chris surname: Wojtan fullname: Wojtan, Chris organization: IST Austria – sequence: 4 givenname: Rüdiger surname: Westermann fullname: Westermann, Rüdiger organization: Technische Universität München – sequence: 5 givenname: Nils surname: Thuerey fullname: Thuerey, Nils organization: Technische Universität München |
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| Copyright | 2016 The Author(s) Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2016 The Eurographics Association and John Wiley & Sons Ltd. |
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| References_xml | – reference: Pan Z., Huang J., Tong Y., Zheng C., Bao H.: Interactive localized liquid motion editing. ACM Transactions on Graphics 32, 6 (2013), 184:1-184:10. 2 – reference: Cornelis J., Ihmsen M., Peer A., Teschner M.: IISPH-FLIP for incompressible fluids. Computer Graphics Forum 33, 2 (2014), 255-262. 2 – reference: Gerszewski D., Bargteil A. W.: Physics-based animation of large-scale splashing liquids. ACM Transactions on Graphics 32, 6 (2013), 185:1-185:6. 3 – reference: Losasso F., Talton J., Kwatra N., Fedkiw R.: Two-way coupled SPH and particle level set fluid simulation. IEEE Trans. on Visualization and Computer Graphics 14, 4 (2008), 797-804. 2 – reference: Yue Y., Smith B., Batty C., Zheng C., Grinspun E.: Continuum foam: A material point method for shear-dependent flows. ACM Transactions on Graphics 34, 5 (Nov. 2015), 160:1-160:20. 2 – reference: Stomakhin A., Schroeder C., Chai L., Teran J., Selle A.: A material point method for snow simulation. 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| Snippet | The Fluid Implicit Particle method (FLIP) for liquid simulations uses particles to reduce numerical dissipation and provide important visual cues for events... |
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| SubjectTerms | Analysis Categories and Subject Descriptors (according to ACM CCS) Computational fluid dynamics Computer simulation Coupling Fluid mechanics Fluids I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Animation Liquid surfaces Liquids Sampling Simulation Studies Visual Volume |
| Title | Narrow Band FLIP for Liquid Simulations |
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