Wang Bo, Li Qikai, Xu Zefan, Niu Shibin, Nie Xiangtian
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Collaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Zhengzhou, 450046, Henan Province, China.
Sci Rep. 2025 Mar 5;15(1):7673. doi: 10.1038/s41598-025-92375-0.
Based on the identification and analysis of safety risks in TBM tunnel construction, we construct a comprehensive safety risk dynamic evaluation index system tailored to this context. To account for the dynamic nature of safety risks during TBM tunnel construction, variable weight theory is incorporated, allowing for a more accurate reflection of the time-varying importance of risk indicators. Building on the theoretical framework of attribute interval recognition theory, we establish a TBM tunnel construction safety risk evaluation model grounded in attribute interval theory. This model effectively addresses the various uncertainties inherent in the risk evaluation process for TBM tunnel construction. It determines the evaluation level and attribute intervals for each individual indicator, and subsequently calculates the interval values for both the individual indicators and the composite attribute. Finally, a case study demonstrates the model's effectiveness and practical applicability.
通过对TBM隧道施工安全风险的识别与分析，构建了针对该情境的综合安全风险动态评估指标体系。考虑到TBM隧道施工过程中安全风险的动态特性，引入了变权理论，从而能更准确地反映风险指标随时间变化的重要性。基于属性区间识别理论的理论框架，建立了基于属性区间理论的TBM隧道施工安全风险评估模型。该模型有效解决了TBM隧道施工风险评估过程中存在的各种不确定性。它确定了每个单项指标的评估等级和属性区间，随后计算单项指标和复合属性的区间值。最后通过案例研究验证了该模型的有效性和实际适用性。
