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A Scalable Numerical Method for Simulating Flows Around High-Speed Train Under Crosswind Conditions

Communications in Computational Physics 2014年第4期15卷 944-958页

作者： Zhengzheng Yan Rongliang Chen Yubo Zhao Xiao-Chuan Cai Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055P.R.China Department of Computer Science University of Colorado BoulderBoulderCO 80309USA

This paper presents a parallel Newton-Krylov-Schwarz method for the numerical simulation of unsteady flows at high Reynolds number around a high-speed train under *** a realistic train geometry,a realistic Reynolds number,and a realistic wind speed,this is a very challenging computational *** of the limited parallel scalability,commercial CFD software is not suitable for supercomputers with a large number of *** develop a Newton-KrylovSchwarz based fully implicit method,and the corresponding parallel software,for the 3D unsteady incompressible navier-stokes equations discretized with a stabilized finite element method on very fine unstructured *** test the algorithm and software for flows passing a train modeled after China’s high-speed train CRH380B,and we also compare our results with results obtained from commercial CFD *** algorithm shows very good parallel scalability on a supercomputer with over one thousand processors.

关键词： Three-dimensional unsteady incompressible flows high-speed train crosswind full navier-stokes equations Newton-Krylov-Schwarz algorithm parallel computing

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Parallel Domain Decomposition-Based Solver for the Simulation of Flow over an Ahmed Reference Model

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Advances in Applied Mathematics and Mechanics 2023年第3期15卷 769-785页

作者： Zhengzheng Yan Rongliang Chen Chao Wang Lei Xu Jingzhi Li Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China Faculty of Computational Mathematics and Cybernetics Shenzhen MSU-BIT UniversityShenzhen 518172China Department of Mathematics&National Center for Applied Mathematics Shenzhen&SUSTech International Center for Mathematics Southern University of Science and TechnologyShenzhen 518055China

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.

关键词： Aerodynamics Ahmed model full navier-stokes equations Newton-Krylov-Schwarz algorithm parallel computing

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