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Title: Mitigating crosswind effect on high-speed trains by active blowing method : a comparative study
Authors: Chen, ZW 
Ni, YQ 
Wang, YW 
Wang, SM 
Liu, TH
Issue Date: 2022
Source: Engineering applications of computational fluid mechanics, 2022, v. 16, no. 1, p. 1064-1081
Abstract: To reduce the crosswind effect on high-speed trains, in this paper, by using the Improved Delayed Detached Eddy Simulation (IDDES) method and the SST (Formula presented.) turbulence model, a novel blowing measure is studied and compared by considering different positions of blowing slots on the train surface. The concerned blowing positions on the train surface include the top position (Top); windward side (WWS): the upper position (WU), middle position (WM), and lower position (WL); and leeward side (LWS): the upper position (LU), middle position (LM), and lower position (LL). The results show that in regard to the rolling moment coefficient around the leeward rail, CMxlee, the mitigation effect with LM for the head car is the largest, and the mitigation effect with WL for the middle car and tail car is superior to other cases. The corresponding drop percentages are 18.5%, 21.7%, and 30.8% for the head car, middle car, and tail car, respectively. The flow structures indicate that the blowing positions on the lower half of WWS and upper half of LWS would form a protective air gap to weaken the impact of coming flows and delay the vortex separation on LWS, and thus the train aerodynamic performance is improved.
Keywords: High-speed trains
Active blowing method
Crosswind mitigation
Flow structures
IDDES
Publisher: Taylor and Francis Ltd.
Journal: Engineering applications of computational fluid mechanics
ISSN: 1994-2060
EISSN: 1997-003X
DOI: 10.1080/19942060.2022.2064921
Rights: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following publication Zheng-Wei Chen, Yi-Qing Ni, You-Wu Wang, Su-Mei Wang & Tang-Hong Liu (2022) Mitigating crosswind effect on high-speed trains by active blowing method: a comparative study, Engineering Applications of Computational Fluid Mechanics, 16:1, 1064-1081 is available at https://doi.org/10.1080/19942060.2022.2064921.
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