Advances in Constructional Engineering

This study focuses on concrete girder bridges and systematically elaborates on the theoretical basis, framework, and methods for post-evaluation of preventive maintenance. Integrating advanced technologies including the Internet of Things (IoT), computer vision, and digital twins, it proposes a quantitative evaluation method combining the AHP-entropy weight method with gray-fuzzy comprehensive evaluation, and establishes a multi-level post-evaluation index system encompassing both the implementation process and long-term effects. This achieves the intellectualization of data collection, disease identification, and effect simulation, addressing the "insufficient data and low efficiency" bottleneck in traditional post-evaluation. By analyzing the application prospects of advanced technologies such as IoT, big data, and artificial intelligence in post-evaluation, this study aims to provide theoretical support for enhancing the refined and intelligent management and maintenance level of preventive maintenance for concrete girder bridges in China.

Concrete beam bridge; Preventive maintenance; Post-evaluation; Index system