JOURNAL ARTICLE

Influence of Random Traffic Flow on Train-Bridge Dynamic Coupling Effect of Long-Span Rail-Cum-Road Suspension Bridge.

  • Published In: International Journal of Structural Stability & Dynamics, 2026, v. 26, n. 7. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: He, Haonan; Zheng, Yuhao; Zhang, Yanghao; Wang, Ming; Li, Xiaozhen 3 of 3

Abstract

For rail-cum-road bridges, when the bridge span increases and road traffic becomes dense, the coupling effect between vehicles and the bridge cannot be ignored. This paper establishes a coupled dynamic analysis model that includes four subsystems: vehicles, trains, tracks, and the bridge. In this system, each vehicle in the random traffic flow is treated as an independent entity with its own motion equations. By focusing on the deformation characteristics of the bridge, the study reveals how vehicles impact train's running stability. Additionally, a parameter analysis is conducted to identify the key influencing parameters of random traffic flow. The results show that the movement of vehicles induces notable deformation in the bridge's main girder, particularly increasing the amplitude of alignment with wavelengths both below 200 m and above 200 m at the bridge tower area, and increasing the amplitude of alignment with wavelengths above 200 m at the main span. This leads to heightened train vibration acceleration and centrifugal acceleration. The maximum train acceleration while crossing the bridge is observed in the bridge tower area, increasing from 0.12 m/s2 in the absence of vehicles to 0.3 m/s2 under the condition with vehicles. Among the parameters of random traffic flow, the average vehicle weight on the bridge significantly influences the vertical acceleration of the train, showing a linear relationship. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Structural Stability & Dynamics. 2026/04, Vol. 26, Issue 7, p1
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2026
  • ISSN:0219-4554
  • DOI:10.1142/S0219455425410111
  • Accession Number:191986139
  • Copyright Statement:Copyright of International Journal of Structural Stability & Dynamics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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