標題: Quiet Direct Simulation (QDS) of Viscous Flow Using the Chapman-Enskog Distribution
作者: Smith, M. R.
Kuo, F. -A.
Cave, H. M.
Jermy, M. C.
Wu, J. -S.
機械工程學系
Department of Mechanical Engineering
關鍵字: Kinetic Theory of Gases;Computational Fluid Dynamics (CFD);Finite Volume Method (FVM)
公開日期: 1-Jan-2011
摘要: Presented here is the QDS method modified to employ an arbitrary governing velocity probability distribution. An algorithm is presented for the computation of QDS particle "blueprints". The method, which employs a known continuous velocity probability distribution function, uses a set of fixed QDS particle "weights", which can be arbitrarily selected. Provided the weights, particle "blueprint" velocities are computed by taking multiple moments around the governing velocity probability distribution function to provide the discrete representation employed by QDS. In particular, we focus on the results obtained when the governing distribution function is the Chapman-Enskog distribution function. Results are shown for several benchmark tests including a one dimensional standing shock wave and a two dimensional lid driven cavity problem. Finally, the performance of QDS when applied to General Purpose computing on Graphics Processing Units (GPGPU) is demonstrated.
URI: http://dx.doi.org/10.1063/1.3562775
http://hdl.handle.net/11536/146306
ISSN: 0094-243X
DOI: 10.1063/1.3562775
期刊: 27TH INTERNATIONAL SYMPOSIUM ON RAREFIED GAS DYNAMICS, 2010, PTS ONE AND TWO
Volume: 1333
起始頁: 992
Appears in Collections:Conferences Paper