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Civil-Comp Conferences
ISSN 2753-3239 CCC: 7
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 13.4
Prediction and Control Cabin Noise of High Speed Train Y.J. Zhao1, D.W. Chen1, J. Du1, Y.H. Yu1, S.K. Song1, R.M. Wu2 and H.W. Chen2
1Qingdao Sifang Co., Ltd., CRRC, China
Y.J. Zhao, D.W. Chen, J. Du, Y.H. Yu, S.K. Song, R.M. Wu, H.W. Chen, "Prediction and Control Cabin Noise of High Speed Train", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on
Railway Technology: Research, Development and Maintenance",
Civil-Comp Press, Edinburgh, UK,
Online volume: CCC 7, Paper 13.4, 2024, doi:10.4203/ccc.7.13.4
Keywords: noise, vibration, high speed train, statistical energy analysis, sound transmission loss, distributed vibration absorber.
Abstract
The noise problem generated by the rail transportation is attracting more and more attention. To address the noise issue in the VIP cabin of a high-speed train, the statistical energy analysis method is employed for predicting and diagnosing noise levels. The prediction model indicates that the vibration of the inner floor is the primary source of interior noise. The transfer path analysis reveals that structure-borne noise through connections between the inner floor and outer floor needs to be addressed. Experimental results confirm that dominant frequencies of noise range from 100 to 300Hz. Distributed vibration absorbers with targeted frequencies are proposed to reduce interior noise. The distributed vibration absorbers is applied to the inner floor of the train, and the cabin noise level is tested at a speed of 350km/hr. The noise in the VIP cabin is reduced from 75.1dBA to 71.3dBA, achieving the target of noise reduction.
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