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

Deng Qin1, Tian Li1,*, Honglin Wang2, Jizhong Yang3, Yao Jiang3, Jiye Zhang1, Haiquan Bi2

1 State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, 610031, China
2 School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China
3 China Railway Eryuan Engineering Group Co., Ltd., Chengdu, 610031, China

* Corresponding Author: Tian Li. Email: email

Computer Modeling in Engineering & Sciences 2022, 130(3), 1371-1386. https://doi.org/10.32604/cmes.2022.018480

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, flow field and aerodynamic noise source are numerically simulated using the above methods. The results show that the fluctuating pressure, flow 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.

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Qin, D., Li, T., Wang, H., Yang, J., Jiang, Y. et al. (2022). A Fast Approach for Predicting Aerodynamic Noise Sources of High-Speed Train Running in Tunnel. CMES-Computer Modeling in Engineering & Sciences, 130(3), 1371–1386.

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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