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 - <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>