A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities
In this paper, a probabilistic model devoted to investigating the dynamic behaviors of train-bridge systems subjected to random track irregularities is presented, in which a train-ballasted track-bridge coupled model with nonlinear wheel-rail contacts is introduced, and then a new approach for simul...
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2021-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2021/4066820 |
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doaj-f55702da1f01474bb22a65b7e2d3e9562021-08-30T00:00:04ZengHindawi LimitedShock and Vibration1875-92032021-01-01202110.1155/2021/4066820A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track IrregularitiesDejun Liu0Lifeng Xin1Xiaozhen Li2Jiaxin Zhang3College of Civil Engineering & ArchitectureSchool of Mechanics, Civil Engineering & ArchitectureDepartment of Bridge EngineeringDepartment of Bridge EngineeringIn this paper, a probabilistic model devoted to investigating the dynamic behaviors of train-bridge systems subjected to random track irregularities is presented, in which a train-ballasted track-bridge coupled model with nonlinear wheel-rail contacts is introduced, and then a new approach for simulating a random field of track irregularities is developed; moreover, the probability density evolution method is used to describe the probability transmission from excitation inputs to response outputs; finally, extended analysis from three aspects, that is, stochastic analysis, reliability analysis, and correlation analysis, are conducted on the evaluation and application of the proposed model. Besides, compared to the Monte Carlo method, the high efficiency and the accuracy of this proposed model are validated. Numerical studies show that the ergodic properties of track irregularities on spectra, amplitudes, wavelengths, and phases should be taken into account in stochastic analysis of train-bridge interactions. Since the main contributive factors concerning different dynamic indices are rather different, different failure modes possess no obvious or only weak correlations from the probabilistic perspective, and the first-order reliability theory is suitable in achieving the system reliability.http://dx.doi.org/10.1155/2021/4066820 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dejun Liu Lifeng Xin Xiaozhen Li Jiaxin Zhang |
spellingShingle |
Dejun Liu Lifeng Xin Xiaozhen Li Jiaxin Zhang A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities Shock and Vibration |
author_facet |
Dejun Liu Lifeng Xin Xiaozhen Li Jiaxin Zhang |
author_sort |
Dejun Liu |
title |
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities |
title_short |
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities |
title_full |
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities |
title_fullStr |
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities |
title_full_unstemmed |
A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track Irregularities |
title_sort |
probabilistic assessment model for train-bridge systems: special attention on track irregularities |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1875-9203 |
publishDate |
2021-01-01 |
description |
In this paper, a probabilistic model devoted to investigating the dynamic behaviors of train-bridge systems subjected to random track irregularities is presented, in which a train-ballasted track-bridge coupled model with nonlinear wheel-rail contacts is introduced, and then a new approach for simulating a random field of track irregularities is developed; moreover, the probability density evolution method is used to describe the probability transmission from excitation inputs to response outputs; finally, extended analysis from three aspects, that is, stochastic analysis, reliability analysis, and correlation analysis, are conducted on the evaluation and application of the proposed model. Besides, compared to the Monte Carlo method, the high efficiency and the accuracy of this proposed model are validated. Numerical studies show that the ergodic properties of track irregularities on spectra, amplitudes, wavelengths, and phases should be taken into account in stochastic analysis of train-bridge interactions. Since the main contributive factors concerning different dynamic indices are rather different, different failure modes possess no obvious or only weak correlations from the probabilistic perspective, and the first-order reliability theory is suitable in achieving the system reliability. |
url |
http://dx.doi.org/10.1155/2021/4066820 |
work_keys_str_mv |
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