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Dynamic performance-based assessment for tied-arch bridges subjected to heavy multi-axial tractor-trailers.

Authors :
Yuan, Peng
Cai, C. S.
Liu, Kai
Wang, Xiangjie
Ke, Lu
Source :
Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance. Nov2024, Vol. 20 Issue 11, p1648-1662. 15p.
Publication Year :
2024

Abstract

With rapid industrial development, the overloading of bridges caused by heavy multi-axle vehicles has become a critical problem worldwide. This work conducts a performance-based evaluation for tied-arch bridges subjected to heavy multi-axle vehicles, and a prediction function of the dynamic impact factor (DIF) for tied-arch bridges is proposed considering the bridge frequency, vehicle speeds, and road quality level. Specifically, the main parameters affecting the bridge response were first identified theoretically using a simplified multi-axle vehicle-bridge model. A tractor-trailer mechanical model and a tied-arch bridge model were subsequently constructed and coupled using displacement coordination conditions to explore the characteristics of the bridge response under heavy multi-axle tractor-trailers. Additionally, based on the identified factors, a detailed investigation of DIF was performed using the developed special vehicle-bridge interaction model. Finally, a suggested computational method for predicting DIF of tied-arch bridges was proposed. The results obtained indicate the impact effect of special tractor-trailers on bridges should not be ignored, even at low operating speeds and in good road conditions. Moreover, additional monitoring measures should be placed on the structural components that are sensitive to dynamic responses to regulate responses within an acceptable range. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15732479
Volume :
20
Issue :
11
Database :
Academic Search Index
Journal :
Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance
Publication Type :
Academic Journal
Accession number :
179360062
Full Text :
https://doi.org/10.1080/15732479.2022.2155975