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Title: Efficient Model for Predicting Environmental Vibration Induced by the Subway Train Load
Accession Number: 01630596
Record Type: Component
Abstract: An efficient model for predicting environmental vibration induced by the subway train load was established by the symplectic method. The frequency spectrum of the pseudo reaction force of fastener was calculated efficiently by American fifth-grade vertical track irregularity spectrum and the Chinese Shi-Tai Line track irregularity spectrum with consideration of the frequency-dependent stiffness of railpads, and then the power spectral density (PSD) of the environmental vibration can be obtained by the ground acceleration which was caused by the pseudo fastener reaction force. One-third octave unweighted vertical ground acceleration levels were calculated and compared to measured data at three positions 5m, 10m and 15m from the subway’s centerline. The calculated results agree with the measured date well in the entire frequency domain and just have 2.2 dB, 2.6 dB and 3.2 dB difference at the center frequencies of 63 Hz. The comparison further shows that the irregularity degree of the measured track is close to that under computational conditions, and the efficient model for the prediction of the environmental vibration has good prediction accuracy and efficiency.
Supplemental Notes: This paper was sponsored by TRB committee ADC40 Standing Committee on Transportation-Related Noise and Vibration.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-03144
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Wang, PingYang, FanWei, KaiZhang, PanPagination: 17p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Railroads; Vehicles and Equipment
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-03144
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:10AM
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