On use of characteristic wavelengths of track irregularities to predict track portions with deteriorated wheel/rail forces
•Unification of wavelet transform and Wigner-Ville distribution.•A coupled non-linear vehicle-track model.•Revealing the correlations between track irregularities and railway system dynamics.•Modeling procedures for predicting track portions with serious wheel/rail forces. The dynamic performance of...
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Published in | Mechanical systems and signal processing Vol. 104; pp. 264 - 278 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Berlin
Elsevier Ltd
01.05.2018
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | •Unification of wavelet transform and Wigner-Ville distribution.•A coupled non-linear vehicle-track model.•Revealing the correlations between track irregularities and railway system dynamics.•Modeling procedures for predicting track portions with serious wheel/rail forces.
The dynamic performance of the railway vehicles and the guiding tracks is mainly governed by the wheel-rail interactions, particularly in cases of track irregularities. In this work, a united model was developed to investigate the track portions subject to violent wheel/rail forces triggered by track irregularities at middle-low frequencies. In the modeling procedures, a time-frequency unification method combining wavelet transform and Wigner-Ville distribution for characterizing time-frequency characteristics of track irregularities and a three-dimensional nonlinear model for describing vehicle-track interaction signatures were developed and coupled, based on which the method for predicting track portions subject to deteriorated wheel/rail forces was proposed. The theoretical models developed in this paper were comprehensively validated by numerical investigations. The significance of this present study mainly lies on offering a new path to establish correlation and realize mutual prediction between track irregularity and railway system dynamics. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0888-3270 1096-1216 |
DOI: | 10.1016/j.ymssp.2017.10.038 |