The Safety Risk Assessment of Mine Metro Tunnel Construction Based on Fuzzy Bayesian Network

With the acceleration of urbanization, construction urban subway tunnel networks is advancing towards deeper, denser, and larger subterranean forms. Currently, there a lack systematic identification dynamic reasoning analysis factors throughout entire process using mining method. To reduce probability accidents improve safety risk management in whole method, we propose evaluation method based on Fuzzy Set Theory (FST) Bayesian Network (BN). Firstly, main stages Work Breakdown Structure, index system for was constructed according to Risk Structure. Secondly, by combining Theory, Analytic Hierarchy Process, Network, established model FBN. Lastly, taking large-section project as an example, effectiveness accuracy this were verified. The results showed: (1) Causal indicated that, under condition known prior probability, if case result greater than 5%, significant possibility incident. are basically consistent with actual situation. (2) Diagnostic revealed that such excavation quality waterproof construction, detailed waterproofing, design monitoring measurement plan, measurements, influences (3) Secondary diagnostic demonstrated repeated influencing factors, leading investigation path dominated critical can effectively overall risk. This research expected provide useful insights scientific risks tunnels