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Flow simulation with locally-refined LBM

  • Kent State University
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

17 Scopus citations

Abstract

We simulate 3D fluid flow by a locally-refined lattice Boltzmann method (LBM) on graphics hardware. A low resolution LBM simulation running on a coarse grid models global flow behavior of the entire domain with low consumption of computational resources. For regions of interest where small visual details are desired, LBM simulations are performed on fine grids, which are separate grids superposed on the coarse one. The flow properties on boundaries of the fine grids are determined by the global simulation on the coarse grid. Thus, the locally refined fine-grid simulations follow the global fluid behavior, and model the desired small-scale and turbulent flow motion with their denser numerical discretization. A fine grid can be initiated and terminated at any time while the global simulation is running. It can also move inside the domain with a moving object to capture small-scale vortices caused by the object. Besides the performance improvement due to the adaptive simulation, the locally-refined LBM is suitable for acceleration on contemporary graphics hardware (GPU), since it involves only local and linear computations. Therefore, our approach achieves fast and adaptive 3D flow simulation for computer games and other interactive applications.

Original languageEnglish
Title of host publicationProceedings - I3D 2007, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Pages181-188
Number of pages8
DOIs
StatePublished - 2007
EventACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2007 - Seattle, WA, United States
Duration: Apr 30 2007May 2 2007

Publication series

NameProceedings - I3D 2007, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games

Conference

ConferenceACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2007
Country/TerritoryUnited States
CitySeattle, WA
Period04/30/0705/2/07

Keywords

  • Embedded grids
  • Flow simulation
  • GPU
  • Interactive fluid simulation
  • Lattice Boltzmann model
  • Local refinement

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