@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 = {<p style="text-align: justify;">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&#39;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.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.150313.070513s},
url = {http://global-sci.org/intro/article_detail/cicp/7121.html}
}