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Real-Time Fluid Simulation with Atmospheric Pressure Using Weak Air Particles

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Advances in Computer Graphics (CGI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13002))

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Abstract

Atmospheric pressure is important yet often ignored in fluid simulation, resulting in many phenomena being overlooked. This paper presents a particle-based approach to simulate versatile liquid effects under atmospheric pressure in real time. We introduce weak air particles as a sparse sampling of air. The weak air particles can be used to efficiently track liquid surfaces under atmospheric pressure, and are weakly coupled with the liquid. We allow the large-mass liquid particles to contribute to the density estimation of small-mass air particles and neglect the air’s influence on liquid density, leaving only the surface forces of air on the liquid to guarantee the stability of the two-phase flow with a large density ratio. The proposed surface force model is composed of density-related atmospheric pressure force and surface tension force. By correlating the pressure and the density, we ensure that the atmospheric pressure increases as the air is compressed in a confined space. Experimental results demonstrate the efficiency and effectiveness of our methods in simulating the interplay between air and liquid in real time.

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Acknowledgments

We thank all the reviewers for their insightful comments. We thank Qian Chen and Yue Wang for their valuable feedback. This work was supported by the National Key Research and Development Program of China (2018YFB1004902) and the National Natural Science Foundation of China (61772329, 61373085).

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Authors and Affiliations

  1. Digital ART Laboratory, Shanghai Jiao Tong University, Shanghai, China

    Tian Sang, Wentao Chen, Yitian Ma, Hui Wang & Xubo Yang

Authors
  1. Tian Sang
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  2. Wentao Chen
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  3. Yitian Ma
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  4. Hui Wang
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  5. Xubo Yang
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Corresponding author

Correspondence to Xubo Yang .

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Editors and Affiliations

  1. University of Geneva, Carouge, Switzerland

    Nadia Magnenat-Thalmann

  2. University of Minnesota, Minneapolis, MN, USA

    Victoria Interrante

  3. EPFL, Lausanne, Switzerland

    Daniel Thalmann

  4. University of Crete, Heraklion, Crete, Greece

    George Papagiannakis

  5. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  6. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  7. University of Calgary, Calgary, AB, Canada

    Marina Gavrilova

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Sang, T., Chen, W., Ma, Y., Wang, H., Yang, X. (2021). Real-Time Fluid Simulation with Atmospheric Pressure Using Weak Air Particles. In: Magnenat-Thalmann, N., et al. Advances in Computer Graphics. CGI 2021. Lecture Notes in Computer Science(), vol 13002. Springer, Cham. https://doi.org/10.1007/978-3-030-89029-2_12

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  • DOI: https://doi.org/10.1007/978-3-030-89029-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89028-5

  • Online ISBN: 978-3-030-89029-2

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