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
Link To Document :
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