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Article type: Research Article
Authors: Huang, Zhena; b; * | Gao, Fenga; b | Li, Xuesongc | Jiang, Minc
Affiliations: [a] School of Civil Engineering and Architecture, Guangxi University, Nanning, Guangxi, China | [b] State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning, Guangxi, China | [c] Guangxi Road Construction Engineering Group Co., Ltd., Nanning, Guangxi, China
Correspondence: [*] Corresponding author. Zhen Huang, E-mail: [email protected].
Abstract: The static risk assessment method has difficulty tracking variations of the risk level, which is not conducive to the dynamic control of construction. Tunnel collapse during the construction of mountain tunnels has a dynamic evolution law and contains great risk of harm, and the corresponding dynamic risk assessment is extremely important. This study proposes a static and dynamic fuzzy uncertainty assessment method for the collapse risk of mountain tunnels. First, 150 tunnel collapse accidents were investigated and analysed, and the static and dynamic risk assessment index system of mountain tunnel construction collapse was established. Second, the DEMATEL method is processed by applying fuzzy logic, the subjective weight of each index is calculated, and the interaction between the indexes is analysed. Finally, the traditional VIKOR method is improved upon, and the weight of each assessment index is coupled and analysed. A static and dynamic uncertainty assessment model of the construction collapse risk of multiple construction sections is constructed. This method has been successfully applied to the risk assessment of tunnel collapse, and the assessment results are consistent with the actual construction situation. This study provides a new method for the static and dynamic assessment of mountain tunnel collapse risk.
Keywords: Mountain tunnel, collapse, risk assessment, VIKOR method, DEMATEL method, Uncertainty analysis
DOI: 10.3233/JIFS-233149
Journal: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 7975-7999, 2023
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