Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method. Issue 7 (9th August 2021)

• Record Type: Journal Article
• Authors: Fan, Sijiang; Santasmasas, Marta Camps; Guo, Xiao-Wei; Yang, Canqun; Revell, Alistair
• Is Part Of: International journal of computational fluid dynamics. Volume 35:Issue 7(2021)
• Page Start: 549
• Page End: 561
• Publication Date: 2021-08-09
• Subjects: Link-wise artificial compressibility method -- synthetic eddy method -- turbulent flow simulation -- lattice Boltzmann method -- boundary condition -- computational fluid dynamics -- GPU; Fluid dynamics -- Data processing -- Periodicals; 532.05
• DOI: 10.1080/10618562.2021.1980212
• Languages: English
• ISSNs: 1061-8562

Abstract

Abstract : We present a GPU-based turbulent flow simulation by link-wise artificial compressibility method (LW-ACM). The standard implementations of the lattice Boltzmann method are limited by memory requirements due to the nature of the distribution functions employed. LW-ACM avoids the need to store the density distribution function via the use of a hybrid of LBM and finite difference method. This method, previously used only for simple cases without inlet/outlet boundary conditions, is here extended for general-purpose 3D turbulent flow via the introduction of the synthetic eddy method (SEM) as a distributed source term into the channel. A channel flow is performed to validate the implementation in this paper. Experimental results demonstrate performance on a single GPU of up to 11237 MLUPS and 4656 MLUPS in single and double precision, respectively, amongst the fastest results reported to date, demonstrating the practical opportunities this approach can offer for systematic evaluation of complex turbulent flow.