CLC number:
On-line Access: 2025-01-21
Received: 2023-12-01
Revision Accepted: 2024-03-15
Crosschecked: 2025-01-21
Cited: 0
Clicked: 1118
Citations: Bibtex RefMan EndNote GB/T7714
Yanlin HU, Xin GE, Liang LING, Chao CHANG, Kaiyun WANG. Dynamic performance of a high-speed train exiting a tunnel under crosswinds[J]. Journal of Zhejiang University Science A, 2025, 26(1): 21-35.
@article{title="Dynamic performance of a high-speed train exiting a tunnel under crosswinds",
author="Yanlin HU, Xin GE, Liang LING, Chao CHANG, Kaiyun WANG",
journal="Journal of Zhejiang University Science A",
volume="26",
number="1",
pages="21-35",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A2300610"
}
%0 Journal Article
%T Dynamic performance of a high-speed train exiting a tunnel under crosswinds
%A Yanlin HU
%A Xin GE
%A Liang LING
%A Chao CHANG
%A Kaiyun WANG
%J Journal of Zhejiang University SCIENCE A
%V 26
%N 1
%P 21-35
%@ 1673-565X
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A2300610
TY - JOUR
T1 - Dynamic performance of a high-speed train exiting a tunnel under crosswinds
A1 - Yanlin HU
A1 - Xin GE
A1 - Liang LING
A1 - Chao CHANG
A1 - Kaiyun WANG
J0 - Journal of Zhejiang University Science A
VL - 26
IS - 1
SP - 21
EP - 35
%@ 1673-565X
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A2300610
Abstract: The dynamic performance of high-speed trains is significantly influenced by sudden changes in aerodynamic loads (ADLs) when exiting a tunnel in a windy environment. Focusing on a double-track tunnel under construction in a mountain railway, we established an aerodynamic model involving a train exiting the tunnel, and verified it in the Fluent environment. Overset mesh technology was adopted to characterize the train’s movement. The flow field involving the train, tunnel, and crosswinds was simulated using the Reynolds-averaged turbulence model. Then, we built a comprehensive train–track coupled dynamic model considering the influences of ADLs, to investigate the vehicles’ dynamic responses. The aerodynamics and dynamic behaviors of the train when affected by crosswinds with different velocities and directions are analyzed and discussed. The results show that the near-wall side crosswind leads to sharper variations in ADLs than the far-wall side crosswind. The leading vehicle suffers from more severe ADLs than other vehicles, which worsens the wheel–rail interaction and causes low-frequency vibration of the car body. When the crosswind velocity exceeds 20 m/s, significant wheel–rail impacts occur, and the running safety of the train worsens rapidly.
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