NSU Research Contributions

Title : Multiple-relaxation-time lattice Boltzmann simulation of natural convection flow in a partitioned cavity using GPU computing

Authors : M. J. Haque, M. M. Molla, M. N. Akter , S C Saha

Abstract : In this paper, we demonstrated the implementation of General Purpose Graphics Processing Unit (GPGPU) programming in Compute Unified Device Architecture (CUDA) C for the simulation of natural convection flow in a side-heated three-dimensional (3D) rectangular cavity with a partition. In the present lattice Boltzmann method (LBM) D3Q19 multiplerelaxation- time (MRT) and D3Q6 single relaxation-time (SRT) model are implemented for the simulation of fluid flow and temperature phenomena, respectively. The parallel code is validated with the benchmark problem of a side heated cubic cavity. The results are presented by the temperature distribution in terms of isotherms, local and average Nusselt number and 3D view of iso-surface for the different Rayleigh number (Ra) and the Prandtl number fixed at Pr = 0.71. It is also observed that the present parallel implementation of the MRT-lattice Boltzmann simulation in GPU has a substantial computational efficiency rather than the sequential programming in central processing units (CPU).

Journal :	Volume :	Year : 2019	Issue :
Pages : 30017 1 -7	City : Dhaka	Edition : 2121,	Editors :
Publisher : AIP Conference Proceedings	ISBN :	Book :	Chapter :
Proceeding Title : 8th BSME International Conference on Thermal Engineering	Institution :	Issuer :	Number :