Quantitative Assessment Framework for the Postearthquake Traffic Flow Capacity of Bridges Based on the Loss Model of Vertical Load-Carrying Capacity
Publication: Journal of Bridge Engineering
Volume 29, Issue 3
Abstract
This paper aimed to propose an analytical framework for assessing the postearthquake traffic flow capacity of girder bridges based on the loss model of vertical load-carrying capacity. For this purpose, a loss model of the vertical load-carrying capacity of a reinforced concrete (RC) column associated with the residual drift ratio and the damage level (i.e., the modified Park–Ang index) was developed to determine the postearthquake vertical load-carrying capacity accurately and quantitatively. Subsequently, the probability seismic demand analysis (PSDA) was performed to obtain the probability distribution functions (PDFs) of engineering demand parameters (EDPs) (i.e., the residual drift and the damage indicator) and the PDF of postearthquake vertical load-carrying capacity was determined based on the developed loss model. Furthermore, the reliability analysis was utilized to calculate the postearthquake reliability index of a bridge by adjusting the mean values of the live load (which reflects the traffic flow capacity), and the postearthquake traffic flow capacity could then be quantitatively determined based on the live load ratio at a target reliability index. Finally, the proposed framework was implemented on a single-column bridge to demonstrate its efficiency. Compared to traditional qualitative and subjective postearthquake functionality assessment of the damaged bridge, the proposed analytical approach offered a mathematical model for the decision-making process.
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Data Availability Statement
All data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge the support from the National Natural Science Foundation of China (NSFC) (Nos. 52278475 and 52338010) and Beijing Municipal Education Commission (No. KM202210005020) for carrying out this research.
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Published In
Journal of Bridge Engineering
Volume 29 • Issue 3 • March 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 7, 2023
Accepted: Oct 3, 2023
Published online: Dec 27, 2023
Published in print: Mar 1, 2024
Discussion open until: May 27, 2024
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