A Decision-Making Algorithm for Concrete-Filled Steel Tubular Arch Bridge Maintenance Based on Structural Health...

Area of Science:

• Civil Engineering
• Structural Engineering
• Materials Science

Background:

• Concrete-filled steel tubular (CFST) arch bridges require robust life-cycle performance evaluation for effective maintenance.
• Existing methods may not adequately address the complexities of CFST bridge degradation and optimal maintenance scheduling.

Purpose of the Study:

• To develop a novel heuristic algorithm for evaluating the life-cycle performance of CFST arch bridges.
• To provide decision-making support for maintenance strategies based on multi-parameter performance assessment.

Main Methods:

• Utilized a degenerated ultimate loading-capacity model within finite element analysis for CFST members.
• Employed Principal Component Analysis and Entropy-weight methods for crucial sub-parameter determination.
• Developed a system maintenance decision-making model integrating monitoring state, ultimate state, and residual life.

Main Results:

• The algorithm successfully predicts ultimate states and provides maintenance decision-making suggestions.
• Identified crack width as a key parameter requiring special attention in concrete bridge maintenance.
• Verified the polynomial regression model with ±95% confidence bounds.

Conclusions:

• The proposed heuristic algorithm offers a viable approach for life-cycle performance evaluation and maintenance decision-making for CFST arch bridges.
• The methodology has significant potential for structural health monitoring and maintenance of existing concrete bridge structures.