China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (9): 202-211.doi: 10.16265/j.cnki.issn1003-3033.2025.09.0861

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Research on bridge operational safety risk decision-making based on fuzzy cognitive maps

XIANG Pengcheng1,2,3(), GUO Peiwen1,**(), ZHANG Xueqin4   

  1. 1 School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China
    2 International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China
    3 Construction Economics and Management Research Center, Chongqing University, Chongqing 400045, China
    4 Chongqing Construction Science Research Institute Co., Ltd., Chongqing 400042, China
  • Received:2025-04-27 Revised:2025-06-30 Online:2025-09-28 Published:2026-03-28
  • Contact: GUO Peiwen

Abstract:

In order to investigate the decision-making mechanism for operational safety risks in bridges and mitigate major operational safety hazards, a three-stage theoretical framework comprising risk perception, risk cognition, and risk decision-making for bridge operational safety was established. H-OWA operator was employed to process expert evaluations, constructing an interaction matrix for decision factors. The meanings and structure of concept nodes within FCM were defined to elucidate the mapping relationships between factors. Monitoring data collected during train passages on a specific railway bridge on January 1, 2020, was utilized for conducting engineering application and validation analysis. The results show that the weight importance ranking of bridge structure acceleration, strain, and displacement is the highest among the iterative process importance ranking, indicating their critical roles in perceiving bridge structure health. Moreover, the implementation effect of reinforcement strategies for the substructure of the bridge is significantly higher than that of waterproofing and insulation and reinforcement of the superstructure under low, medium, and high-risk scenarios, effectively enhancing the overall stability and safety of the bridge.

Key words: fuzzy cognitive maps (FCM), bridge operational safety, risk decision-making, Heronian ordered weighted averaging (H-OWA) operator, maintenance strategies

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