LAPSE:2023.1303
Published Article

LAPSE:2023.1303
Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning
February 21, 2023
Abstract
Due to multiple factors influencing the construction safety of TBM hydraulic tunnels, risk assessment is a critical point of a construction management plan to avoid possible risks. In this paper, a safety-risk evaluation index system of TBM construction for hydraulic tunnels is built based on the identification and analysis of possible sources of risk in techniques, geologic, equipment, management, and accidents. Considering the influence of factors such as the experience level and the expertise of decision makers, a combination assignment method of index weights is proposed based on binary semantics. On the basis of a fuzzy normal distribution used as the subordinate function distribution of fuzzy evaluation levels, the subordinate function distribution of fuzzy evaluation levels under multi-level intersection situations is introduced, and a comprehensive evaluation model of safety risks for TBM tunnel construction is built. The validity and practicality of the evaluation model is examined with the combination of a long-distance water conveyance tunnel project. Results show that the construction safety-risk of the TBM hydraulic tunnel project belongs to the middle-high level, and the safety accident risk belongs to the low level. The study provides guidance of evaluation and control of risks for this tunneling construction being successfully completed.
Due to multiple factors influencing the construction safety of TBM hydraulic tunnels, risk assessment is a critical point of a construction management plan to avoid possible risks. In this paper, a safety-risk evaluation index system of TBM construction for hydraulic tunnels is built based on the identification and analysis of possible sources of risk in techniques, geologic, equipment, management, and accidents. Considering the influence of factors such as the experience level and the expertise of decision makers, a combination assignment method of index weights is proposed based on binary semantics. On the basis of a fuzzy normal distribution used as the subordinate function distribution of fuzzy evaluation levels, the subordinate function distribution of fuzzy evaluation levels under multi-level intersection situations is introduced, and a comprehensive evaluation model of safety risks for TBM tunnel construction is built. The validity and practicality of the evaluation model is examined with the combination of a long-distance water conveyance tunnel project. Results show that the construction safety-risk of the TBM hydraulic tunnel project belongs to the middle-high level, and the safety accident risk belongs to the low level. The study provides guidance of evaluation and control of risks for this tunneling construction being successfully completed.
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Keywords
fuzzy evidence reasoning, risk assessment, safety, TBM construction, water conveyance tunnel
Suggested Citation
Zhang Z, Wang B, Wang X, He Y, Wang H, Zhao S. Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning. (2023). LAPSE:2023.1303
Author Affiliations
Zhang Z: Anyang Zhongzhou Water Supply Co., Ltd., Anyang 455000, China
Wang B: Collaborative Innovation Center for Efficient Utilization of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang X: School of Civil Engineering and Communications, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
He Y: Anyang Zhongzhou Water Supply Co., Ltd., Anyang 455000, China
Wang H: School of Civil Engineering and Communications, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Zhao S: Collaborative Innovation Center for Efficient Utilization of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China [ORCID]
Wang B: Collaborative Innovation Center for Efficient Utilization of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
Wang X: School of Civil Engineering and Communications, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
He Y: Anyang Zhongzhou Water Supply Co., Ltd., Anyang 455000, China
Wang H: School of Civil Engineering and Communications, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Zhao S: Collaborative Innovation Center for Efficient Utilization of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China [ORCID]
Journal Name
Processes
Volume
10
Issue
12
First Page
2597
Year
2022
Publication Date
2022-12-05
ISSN
2227-9717
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Original Submission
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PII: pr10122597, Publication Type: Journal Article
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LAPSE:2023.1303
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https://doi.org/10.3390/pr10122597
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Feb 21, 2023
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