Publication

Robust turbulence simulation for particle-based fluids using the Rankine vortex model

Wang, X., Liu, S., Ban, X., Xu, Y., Zhou, J. & Kosinka, J., 1-Mar-2020, Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020. Institute of Electrical and Electronics Engineers Inc., p. 657-658 2 p. 9090460

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  • Robust turbulence simulation for particle-based fluidsusing the Rankine vortex model

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DOI

  • Xiaokun Wang
  • Sinuo Liu
  • Xiaojuan Ban
  • Yanrui Xu
  • Jing Zhou
  • Jiri Kosinka

We propose a novel turbulence refinement method based on the Rankine vortex model for SPH (smoothed particle hydrodynamics) simulations. Surface details are enhanced by recovering the energy lost in the rotational degrees of freedom of SPH particles. The Rankine vortex model is used to convert the diffused and stretched angular kinetic energy of particles to the linear kinetic energy of their neighbours. Our model naturally prevents the positive feedback effect between the velocity and vorticity fields since the vortex model is designed to alter the velocity without introducing external sources. Experimental results show that our method can recover missing high-frequency details realistically and maintain convergence in both static and highly dynamic scenarios.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages657-658
Number of pages2
ISBN (Electronic)9781728165325
Publication statusPublished - 1-Mar-2020
Event2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020 - Atlanta, United States
Duration: 22-Mar-202026-Mar-2020

Conference

Conference2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020
CountryUnited States
CityAtlanta
Period22/03/202026/03/2020

Event

2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020

22/03/202026/03/2020

Atlanta, United States

Event: Conference

    Keywords

  • Animation, Computer graphics, Computing methodologies, Physical simulation

ID: 126613689