Parallel Domain Decomposition-Based Solver for the Simulation of Flow over an Ahmed Reference Model
作者机构:Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Faculty of Computational Mathematics and CyberneticsShenzhen MSU-BIT UniversityShenzhen 518172China Department of Mathematics&National Center for Applied Mathematics Shenzhen&SUSTech International Center for MathematicsSouthern University of Science and TechnologyShenzhen 518055China
出 版 物:《Advances in Applied Mathematics and Mechanics》 (应用数学与力学进展(英文))
年 卷 期:2023年第15卷第3期
页 面:769-785页
核心收录:
学科分类:07[理学] 070102[理学-计算数学] 0701[理学-数学]
基 金:The work of Yan was partially supported by the Natural Science Foundation of China under Grant No.11901559 the Shenzhen Sci-Tech Fund Nos.JCYJ20180507182506416 and JCYJ20200109115422828 The work of Li and Wang was partially supported by the NSF of China No.11971221 Guangdong NSF Major Fund No.2021ZDZX1001,the Shenzhen Sci-Tech Fund Nos.RCJC20200714114556020 and JCYJ20190809150413261 Guangdong Provincial Key Laboratory of Computational Science and Material Design No.2019B030301001
主 题:Aerodynamics Ahmed model full Navier-Stokes equations Newton-Krylov-Schwarz algorithm parallel computing
摘 要:The Ahmed model is a standard bluff body used to study the flow behavior around an *** important issue when investigating turbulent flow fields is the large computational load driven by accurate prediction approaches,such as the large eddy simulation *** this paper,we present a powerful domain decomposition method-based parallel solver to efficiently utilize existing supercomputer *** 3D unsteady incompressible Navier–Stokes equations with a subgridscale(SGS)fluid model are discretized on a pure unstructured tetrahedral grid by a stable P_(1-)P_(1-)finite element method in space,while an implicit second-order backward differentiation formula is employed for the time *** then solve the nonlinear algebraic system by means of the Newton–Krylov–Schwarz method by imposing a restricted additive Schwarz(RAS)right preconditioner for the parallel *** validate the proposed method toward the comparison of the flow field,including the velocity profiles and flow structures,with experimental investigations,and we show the parallel efficiency and scalability of the solver with up to 8192 processors.