Volume 21 Issue 3
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LIU Lin-ya, SONG Li-zhong, QIN Jia-liang, LIU Quan-min. Review on structure-borne noise of rail transit bridges[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 1-19. doi: 10.19818/j.cnki.1671-1637.2021.03.001
Citation: LIU Lin-ya, SONG Li-zhong, QIN Jia-liang, LIU Quan-min. Review on structure-borne noise of rail transit bridges[J]. Journal of Traffic and Transportation Engineering, 2021, 21(3): 1-19. doi: 10.19818/j.cnki.1671-1637.2021.03.001
shu

Review on structure-borne noise of rail transit bridges

doi: 10.19818/j.cnki.1671-1637.2021.03.001

  • Engineering Research Center of Railway Environmental Vibration and Noise of Ministry of Education, East China Jiaotong University, Nanchang 330013, Jiangxi, China

Funds:

National Natural Science Foundation of China 51968025

National Natural Science Foundation of China 52008169

National Natural Science Foundation of China 52068030

More Information
  • Author Bio:

    LIU Lin-ya(1973-), male, professor, PhD, lly1949@163.com

  • Received Date: 2020-12-27
    Available Online: 2021-08-27
  • Publish Date: 2021-08-27
    Abstract
  • Domestic and foreign studies on the structure-borne noise of rail transit bridges were summarized from aspects of radiation characteristic, prediction method, generation mechanism, control measure and engineering application, focusing on the structure-borne noise caused by trains passing through rail transit bridges. Future research focus and developmental directions were highlighted. Research results show that structure-borne noise of rail transit bridges concentrates mainly on low-frequency bands below 200 Hz and peaks at 40-100 Hz. The key to analyzing the spectral and spatial distribution characteristics of bridge structure-borne noise accurately depends on separating the bridge structure-borne noise from all noise types by using more advanced noise-source identification technology. Existing methods for predicting the bridge structure-borne noise mainly include the acoustic boundary element method (BEM) and statistical energy analysis (SEA). The BEM has low computational efficiency, whereas SEA is mainly used for predicting the noise from steel bridges. The main objective is to develop a method for predicting the noise of long-span concrete bridges. The peak of bridge structure-borne noise is mainly associated with the medium- and high-frequency local vibration characteristics of bridges and the vibration energy input by the wheel-rail system into bridges. A universal agreement on how the medium- and high-frequency local vibration characteristics of bridges influencing the acoustic radiation characteristics has not been reached. Currently, the widely used noise control techniques for bridge structures can be divided into vibration mitigation measures for rails and bridges. The vibration mitigation techniques for bridges do not effectively control the structure-borne noise. The vibration mitigation measures for rails can effectively reduce the acoustic radiation from bridges but may increase the wheel-rail noise and the secondary structure-borne noise of ballast beds. It is recommended that various control approaches are combined to achieve the optimal noise reduction while guaranteeing the economic efficiency. 13 figs, 92 refs.

     

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