Back to Search Start Over

A Fast Approach for Predicting Aerodynamic Noise Sources of High-Speed Train Running in Tunnel.

Authors :
Deng Qin
Tian Li
Honglin Wang
Jizhong Yang
Yao Jiang
Jiye Zhang
Haiquan Bi
Source :
CMES-Computer Modeling in Engineering & Sciences; 2022, Vol. 130 Issue 3, p1371-1386, 16p
Publication Year :
2022

Abstract

The aerodynamic noise of high-speed trains passing through a tunnel has gradually become an important issue. Numerical approaches for predicting the aerodynamic noise sources of high-speed trains running in tunnels are the key to alleviating aerodynamic noise issues. In this paper, two typical numerical methods are used to calculate the aerodynamic noise of high-speed trains. These are the static method combined with non-reflective boundary conditions and the dynamic mesh method combined with adaptive mesh. The fluctuating pressure, low field and aerodynamic noise source are numerically simulated using the above methods. The results show that the fluctuating pressure, low field structure and noise source characteristics obtained using different methods, are basically consistent. Compared to the dynamic mesh method, the pressure, vortex size and noise source radiation intensity, obtained by the static method, are larger. The differences are in the tail car and its wake. The two calculation methods show that the spectral characteristics of the surface noise source are consistent. The maximum difference in the sound pressure level is 1.9 dBA. The static method is more efficient and more suitable for engineering applications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15261492
Volume :
130
Issue :
3
Database :
Complementary Index
Journal :
CMES-Computer Modeling in Engineering & Sciences
Publication Type :
Academic Journal
Accession number :
154500326
Full Text :
https://doi.org/10.32604/cmes.2022.018480