DocumentCode
1060956
Title
The Lattice-Boltzmann Method on Optimal Sampling Lattices
Author
Alim, Usman R. ; Entezari, Alireza ; Möller, Torsten
Author_Institution
Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC
Volume
15
Issue
4
fYear
2009
Firstpage
630
Lastpage
641
Abstract
In this paper, we extend the single relaxation time lattice-Boltzmann method (LBM) to the 3D body-centered cubic (BCC) lattice. We show that the D3bQ15 lattice defined by a 15 neighborhood connectivity of the BCC lattice is not only capable of more accurately discretizing the velocity space of the continuous Boltzmann equation as compared to the D3Q15 Cartesian lattice, it also achieves a comparable spatial discretization with 30 percent less samples. We validate the accuracy of our proposed lattice by investigating its performance on the 3D lid-driven cavity flow problem and show that the D3bQ15 lattice offers significant cost savings while maintaining a comparable accuracy. We demonstrate the efficiency of our method and the impact on graphics and visualization techniques via the application of line-integral convolution on 2D slices as well as the extraction of streamlines of the 3D flow. We further study the benefits of our proposed lattice by applying it to the problem of simulating smoke and show that the D3bQ15 lattice yields more detail and turbulence at a reduced computational cost.
Keywords
cavitation; computer graphics; convolution; flow visualisation; image processing; lattice Boltzmann methods; smoke; turbulence; 3D body-centered cubic lattice; 3D lid-driven cavity flow; D3Q15 Cartesian lattice; graphics; lattice-Boltzmann method; line-integral convolution; optimal sampling lattices; smoke; streamline extraction; turbulence; visualization techniques; Computational modeling; Data visualization; Equations; Filters; Frequency domain analysis; Graphics; Lattices; Sampling methods; Signal processing algorithms; Signal sampling; BCC; Visual simulation; animation; flow visualization; optimal regular sampling.; physically based modeling; vector field data; volume modeling;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2008.201
Filename
4745632
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