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Effect of RANS Model on the Aerodynamic Characteristics of a Train in Crosswinds Using DDES

by Tian Li, Zhiyuan Dai, Weihua Zhang

1 State-Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China.

* Corresponding Author: Tian Li. Email: email.

Computer Modeling in Engineering & Sciences 2020, 122(2), 555-570. https://doi.org/10.32604/cmes.2020.08101

Abstract

Detached eddy simulation has been widely applied to simulate the flow around trains in recent years. The Reynolds-averaged Navier-Stokes (RANS) model for delayed detached eddy simulation (DDES) is an essential user input. The effect of the RANS model for DDES on the aerodynamic characteristics of a train in crosswinds is investigated in this study. Three different DDES models are used, based on the Spalart-Allmaras model (SA), the realizable k-ε model (RKE), and the shear stress transport k-ω model (SST). Results show that all DDES models can give relatively accurate predictions of pressure coefficient on almost all surfaces. There are only some specific differences in the small vortices, while similar flow patterns around trains could be predicted. The SST based DDES model (SSTDDES) gives the most accurate numerical results among the three models for the surface pressure. The variations in pressure on the leeward face play a key role in the variation of the side force.

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APA Style
Li, T., Dai, Z., Zhang, W. (2020). Effect of RANS model on the aerodynamic characteristics of a train in crosswinds using DDES. Computer Modeling in Engineering & Sciences, 122(2), 555-570. https://doi.org/10.32604/cmes.2020.08101
Vancouver Style
Li T, Dai Z, Zhang W. Effect of RANS model on the aerodynamic characteristics of a train in crosswinds using DDES. Comput Model Eng Sci. 2020;122(2):555-570 https://doi.org/10.32604/cmes.2020.08101
IEEE Style
T. Li, Z. Dai, and W. Zhang, “Effect of RANS Model on the Aerodynamic Characteristics of a Train in Crosswinds Using DDES,” Comput. Model. Eng. Sci., vol. 122, no. 2, pp. 555-570, 2020. https://doi.org/10.32604/cmes.2020.08101

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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