Work

A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory

Year: 2025

Type: article

Abstract: 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.

Source: Scientific Reports

DOI: 10.1038/s41598-025-92375-0

Authors: Bo Wang, Qikai Li, Zefan Xu, Shibin Niu, Xiangtian Nie

Institution: North China University of Water Resources and Electric Power

Language: English

Topic: Evaluation and Optimization Models

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $2,690