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Dynamic Analysis of Moving Train Wake Vortex Under Different Infrastructure Scenarios Based on Modal Decomposition.

Authors :
Chen, Minggao
Mao, Jun
Xi, Yanhong
Source :
International Journal of Structural Stability & Dynamics. 1/15/2024, Vol. 24 Issue 1, p1-28. 28p.
Publication Year :
2024

Abstract

Vortex shedding at the tail of a high-speed train changes the aerodynamic characteristics of the train, which affects the safety and stability of train operation. This paper takes CR400AF as the research object, and uses dynamic monitoring points to realize the whole process monitoring of the flow field at the tail of the train running in open air and in tunnel for the first time. The wake of the train in different infrastructure scenarios is analyzed by the proper orthogonal decomposition method. The study found that the wake vortex structure is quite different when the train runs in different scenarios, and the turbulent kinetic energy intensity of the wake in tunnel is higher than that of the open air running. Modal decomposition method can identify flow structures that have a large impact on train aerodynamics. Through frequency analysis, it is found that the modal frequency obtained from the decomposition is higher when running in open air than when running in tunnel. With the increase of train speed, the modal strouhal number increases when the train is running in open air, and decreases when the train runs in tunnel. After the train enters the tunnel, the reverse movement of the air around the train body suppresses the development and separation of the boundary layer, which is the main reason for the low frequency of wake vortex shedding in tunnel. The stability of the train running in tunnel is worse than that when running in open air, which is closely related to the more complex flow structure around the car body and the drastic change of aerodynamic force when running in the tunnel. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02194554
Volume :
24
Issue :
1
Database :
Academic Search Index
Journal :
International Journal of Structural Stability & Dynamics
Publication Type :
Academic Journal
Accession number :
175143176
Full Text :
https://doi.org/10.1142/S0219455424500123