Nonstationary Random Vibration Performance of Train-Bridge Coupling System with Vertical Track Irregularity
Auteur(s): |
Xiaozhen Li
Yan Zhu Zhibin Jin |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Shock and Vibration, 2016, v. 2016 |
Page(s): | 1-19 |
DOI: | 10.1155/2016/1450895 |
Abstrait: |
In order to study the random vibration performance of trains running on continuous beam bridge with vertical track irregularity, a time-domain framework of random analysis on train-bridge coupling system is established. The vertical rail irregularity is regarded as a random process. A multibody mass-spring-damper model is employed to represent a moving railway car and the bridge system is simulated by finite elements. By introducing the pseudo excitation algorithm into the train-bridge interaction dynamic system, expressions of the mean value, standard deviation, and power spectral density of the nonstationary random dynamic responses of bridge and vehicles are derived. Monte-Carlo simulations are implemented to validate the presented method. A comprehensive analysis of the train-bridge coupling system with vertical track irregularity is conducted focusing on the effect of the randomness of the vertical rail irregularity on the dynamic behavior of the running train and the three-span continuous concrete bridge. Moreover, stochastic characteristics of the indicator for assessing the safety and the riding quality of the railway cars running on continuous beam bridge are carried out, which may be a useful reference in the dynamic design of the bridge. |
Copyright: | © 2016 Xiaozhen Li, Yan Zhu, Zhibin Jin |
License: | Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original. |
4.15 MB
- Informations
sur cette fiche - Reference-ID
10676318 - Publié(e) le:
28.05.2022 - Modifié(e) le:
01.06.2022