Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains

ZHANG Jie; YAO Dan; WANG Rui-qian; XIAO Xin-biao

doi:10.19818/j.cnki.1671-1637.2021.03.017

Volume 21 Issue 3

Aug. 2021

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ZHANG Jie, YAO Dan, WANG Rui-qian, XIAO Xin-biao. Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 248-257. doi: 10.19818/j.cnki.1671-1637.2021.03.017

Citation:

ZHANG Jie, YAO Dan, WANG Rui-qian, XIAO Xin-biao. Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 248-257. doi: 10.19818/j.cnki.1671-1637.2021.03.017

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Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains

doi: 10.19818/j.cnki.1671-1637.2021.03.017

1.
State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, Sichuan, China
2.
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
3.
School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, Jiangsu, China

Funds:

National Natural Science Foundation of China 52002257

National Natural Science Foundation of China U1934203

National Natural Science Foundation of China U1834201

Applied Basic Research Program of Sichuan Province 2021YJ0531

State Key Laboratory of Polymer Materials Engineering sklpme2020-3-12

More Information

Author Bio:
ZHANG Jie(1987-), male, associate professor, PhD, zh.receive@gmail.com
Received Date: 2020-12-26
Available Online: 2021-08-27
Publish Date: 2021-08-27

Abstract

Abstract

A method for determining the acoustic indexes of the components based on vehicle noise simulation analysis was proposed. The acoustic indexes of the high-speed train components were divided into noise source and sound transfer path indexes according to the types. The prediction models of high-speed train exterior and interior noise were established respectively by using ray acoustics and statistical energy analysis methods. A set of initial parameters were selected as the model inputs to predict the exterior and interior noise, and the predicted results were compared with the top-level design targets of the vehicle. Based on the noise source, sound transfer path contribution, parameter sensitivity, and multi-objective optimization, the acoustic indexes of the noise source components and sound transfer path components were determined. Analysis results show that according to the exterior noise simulation analysis, the inputs of the noise source parameters can be regarded as a set of determination results of noise source indexes when the predicted exterior noise meets the top-level acoustic design targets and the design margin is within the acceptable range. In determining the sound transfer path indexes based on the interior noise simulation analysis, the inputs of the sound transfer path parameters can be regarded as a set of determination results of sound transfer path indexes when the predicted interior noise meets the top-level acoustic design targets and the design margin is within the acceptable range. However, when the noise source indexes or sound transfer path indexes do not satisfy the vehicle noise requirements, it is necessary to analyze the noise source or sound transfer path contribution, calculate the parameter sensitivity of the main contributing noise source or sound transfer path, and make the main contributing noise source or sound transfer path achieve the top-level acoustic design targets through correction iteration. Low-noise design procedure needs to integrate the feedback of multiple indicators continuously. The acoustic indexes of the components should be adjusted reasonably to ensure that the acoustic indexes of the components not only satisfy the top-level acoustic design targets but also show feasibility. 10 figs, 31 refs.
- vehicle engineering,
- high-speed train,
- low-noise design,
- acoustic index,
- statistical energy analysis,
- ray acoustics

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References

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Decomposition method to determine acoustic indexes of components in low-noise design procedure of high-speed trains

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