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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/4066820 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832549208991727616 |
|---|---|
| author | Dejun Liu Lifeng Xin Xiaozhen Li Jiaxin Zhang |
| author_facet | Dejun Liu Lifeng Xin Xiaozhen Li Jiaxin Zhang |
| author_sort | Dejun Liu |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-f55702da1f01474bb22a65b7e2d3e956 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-f55702da1f01474bb22a65b7e2d3e9562025-02-03T06:12:01ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/40668204066820A Probabilistic Assessment Model for Train-Bridge Systems: Special Attention on Track IrregularitiesDejun Liu0Lifeng Xin1Xiaozhen Li2Jiaxin Zhang3College of Civil Engineering & Architecture, Jiaxing University, Jiaxing, ChinaSchool of Mechanics, Civil Engineering & Architecture, Northwestern Polytechnical University, Xi'an, ChinaDepartment of Bridge Engineering, Southwest Jiaotong University, Chengdu, ChinaDepartment of Bridge Engineering, Southwest Jiaotong University, Chengdu, ChinaIn 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 |
| 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 |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/2021/4066820 |
| work_keys_str_mv | AT dejunliu aprobabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT lifengxin aprobabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT xiaozhenli aprobabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT jiaxinzhang aprobabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT dejunliu probabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT lifengxin probabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT xiaozhenli probabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities AT jiaxinzhang probabilisticassessmentmodelfortrainbridgesystemsspecialattentionontrackirregularities |