Deterioration Model for Reinforced Concrete Bridge Girders Based on Survival Analysis

Li Li, Yu Lu and Miaojuan Peng ()
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Li Li: School of Mechanics and Engineering Science, Shanghai University, Shanghai 200044, China
Yu Lu: School of Mechanics and Engineering Science, Shanghai University, Shanghai 200044, China
Miaojuan Peng: School of Mechanics and Engineering Science, Shanghai University, Shanghai 200044, China

Mathematics, 2022, vol. 10, issue 23, 1-16

Abstract: The prediction of bridge service performance is essential for bridge maintenance, operation, and decision making. As a key component of the superstructure, the performance of the main girders is critical to the structural safety of the bridge. This study makes full use of the inspection records from the Bridge Management System (BMS) in Shanghai and performs pre-processing work on a large amount of data. Recent advances in survival analysis were utilized to investigate the inspection records of over 40,000 reinforced concrete bridge main girders over a 14-year period. Survival analysis methods based on the Weibull distribution were used to predict the service performance of the main girders, and, in addition, a COX proportional hazards model was used to analyze the effect of different covariates on the survival of the main girders. The results show that the deterioration rate of main girders increases with age, with an average life of 87 years for main girders in Shanghai. The grade of the road on which the bridge is located and the position of the main girder in the bridge superstructure have a significant impact on the probability of survival of the main girder. It can be concluded that more attention should be paid to the inspection and maintenance of side girders on branch roads to reduce the pressure on bridge management in the future. Furthermore, the analysis in this study found that the deterioration rate of the main girders is faster than the deterioration rate of the whole bridge and superstructure, and, therefore, more attention and necessary preventive maintenance measures should be taken in the maintenance and management of the main girders.

Keywords: bridge performance prediction; bridge girder; survival analysis; Weibull distribution; Cox proportional hazards model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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