Research on Safety Condition Assessment Methodology for Single Tower Steel Box Girder Suspension Bridges Over The Sea Based on Improved AHP-Fuzzy Comprehensive Evaluation

Abstract

In order to propose a reliable method for assessing the safety condition for single-tower steel box girder Suspension bridges over the sea, a condition monitoring system is established by installing sensors on the bridge structure. This system collects monitoring data on cable forces, bridge strains, displacements and other parameters that affect the safety condition of the bridge. Furthermore, an improved Analytic Hierarchy Process (AHP) algorithm is developed by integrating a hybrid triangular fuzzy number logic structure. This improvement, coupled with comprehensive fuzzy evaluation methods, improves the consistency, weight determination, and security evaluation capabilities of the AHP algorithm. In addition, a case study will be conducted on the 2nd Channel Bridge to build the health monitoring system and evaluate the safety status of the bridge. The implemented health monitoring system and assessment of the overall safety condition of the bridge have shown positive results in practical engineering applications and provided a basis for decision-making in bridge maintenance departments. This project confirms that the research results can provide a reliable method for assessing the security status for relevant areas.