TRB Pubsindex
Text Size:

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 Accession #:

01618707

Report/Paper Numbers:

17-03144

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wang, Ping
Yang, Fan
Wei, Kai
Zhang, Pan

Pagination:

17p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

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