TY - JOUR
T1 - Mitigating crosswind effect on high-speed trains by active blowing method
T2 - a comparative study
AU - Chen, Zheng Wei
AU - Ni, Yi Qing
AU - Wang, You Wu
AU - Wang, Su Mei
AU - Liu, Tang Hong
N1 - Funding Information:
The work described in this paper was supported by a grant (RIF) from the Research Grants Council, University Grants Committee of the Hong Kong Special Administrative Region (SAR), China [grant number R-5020-18] and a grant from the National Natural Science Foundation of China [grant number U1934209]. The authors would also like to appreciate the funding support by the Innovation and Technology Commission of the Hong Kong SAR Government [grant number K-BBY1], The Hong Kong Polytechnic University’s Postdoc Matching Fund Scheme [grant number 1-W16W], the National Key R&D Program of China [grant number 2020YFA0710903], and the Hong Kong and Macau Joint Research and Development Fund of Wuyi University [grants number 2019WGALH15 and 2019WGALH17].
Publisher Copyright:
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/5
Y1 - 2022/5
N2 - 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.
AB - 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.
KW - active blowing method
KW - crosswind mitigation
KW - flow structures
KW - High-speed trains
KW - IDDES
UR - http://www.scopus.com/inward/record.url?scp=85132627872&partnerID=8YFLogxK
U2 - 10.1080/19942060.2022.2064921
DO - 10.1080/19942060.2022.2064921
M3 - Journal article
AN - SCOPUS:85132627872
SN - 1994-2060
VL - 16
SP - 1064
EP - 1081
JO - Engineering Applications of Computational Fluid Mechanics
JF - Engineering Applications of Computational Fluid Mechanics
IS - 1
ER -