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Volume 15, Issue 4
A Scalable Numerical Method for Simulating Flows Around High-Speed Train Under Crosswind Conditions

Zhengzheng Yan, Rongliang Chen, Yubo Zhao & Xiao-Chuan Cai

DOI: 10.4208/cicp.150313.070513s

Commun. Comput. Phys., 15 (2014), pp. 944-958.

Published online: 2014-04

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  • Abstract

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 crosswind. With a realistic train geometry, a realistic Reynolds number, and a realistic wind speed, this is a very challenging computational problem. Because of the limited parallel scalability, commercial CFD software is not suitable for supercomputers with a large number of processors. We develop a Newton-Krylov-Schwarz 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 meshes. We 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 software. Our algorithm shows very good parallel scalability on a supercomputer with over one thousand processors.

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@Article{CiCP-15-944, author = {Zhengzheng Yan, Rongliang Chen, Yubo Zhao and Xiao-Chuan Cai}, title = {A Scalable Numerical Method for Simulating Flows Around High-Speed Train Under Crosswind Conditions}, journal = {Communications in Computational Physics}, year = {2014}, volume = {15}, number = {4}, pages = {944--958}, abstract = {

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 crosswind. With a realistic train geometry, a realistic Reynolds number, and a realistic wind speed, this is a very challenging computational problem. Because of the limited parallel scalability, commercial CFD software is not suitable for supercomputers with a large number of processors. We develop a Newton-Krylov-Schwarz 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 meshes. We 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 software. Our algorithm shows very good parallel scalability on a supercomputer with over one thousand processors.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.150313.070513s}, url = {http://global-sci.org/intro/article_detail/cicp/7121.html} }
TY - JOUR T1 - A Scalable Numerical Method for Simulating Flows Around High-Speed Train Under Crosswind Conditions AU - Zhengzheng Yan, Rongliang Chen, Yubo Zhao & Xiao-Chuan Cai JO - Communications in Computational Physics VL - 4 SP - 944 EP - 958 PY - 2014 DA - 2014/04 SN - 15 DO - http://doi.org/10.4208/cicp.150313.070513s UR - https://global-sci.org/intro/article_detail/cicp/7121.html KW - AB -

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 crosswind. With a realistic train geometry, a realistic Reynolds number, and a realistic wind speed, this is a very challenging computational problem. Because of the limited parallel scalability, commercial CFD software is not suitable for supercomputers with a large number of processors. We develop a Newton-Krylov-Schwarz 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 meshes. We 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 software. Our algorithm shows very good parallel scalability on a supercomputer with over one thousand processors.

Zhengzheng Yan, Rongliang Chen, Yubo Zhao and Xiao-Chuan Cai. (2014). A Scalable Numerical Method for Simulating Flows Around High-Speed Train Under Crosswind Conditions. Communications in Computational Physics. 15 (4). 944-958. doi:10.4208/cicp.150313.070513s
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