Author(s)

Jie Hu

Corresponding Author

Jie Hu

Abstract

Under the background of global climate change, extreme weather events occur frequently, and municipal bridges are facing increasingly severe durability challenges. Focusing on the durability evaluation and reinforcement design of municipal bridges in extreme climate, this paper constructs a dynamic evaluation system integrating multi-source data perception, climate-structure coupling deterioration modeling and intelligent early warning, and puts forward an adaptive reinforcement design method based on the concept of "toughness reinforcement". Through the integration of sensor network and BIM technology, the digital twin of bridge is established to realize real-time monitoring and evaluation of environmental action and structural response; By introducing machine learning algorithm, the early warning model of durability grade is constructed, and the intelligent classification and life prediction of bridge service state are realized. Propose differentiated reinforcement strategies for different climate threats, and combine technologies such as carbon fiber reinforced plastic (CFRP) wrapping, cathodic protection, and expansion joint upgrades to enhance the disaster resistance and repairability of bridges in extreme weather conditions. Engineering case analysis shows that this method can effectively identify the trend of structural durability degradation, significantly improve the service life and resilience level of bridges, and provide technical support for smart bridge maintenance and resilient urban construction.

Keywords

Extreme climate, Durability evaluation, Reinforcement design, Municipal bridges