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Research on Tunnel Risk Control and Evaluation Index Based on Fuzzy Theory
Author(s) -
Fei Wen,
Zihan Yin,
Ying Zhou
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/4/042052
Subject(s) - excavation , china , fuzzy logic , risk control , tunnel construction , unit (ring theory) , control (management) , risk assessment , civil engineering , risk analysis (engineering) , engineering , forensic engineering , risk management , computer science , business , geography , geotechnical engineering , computer security , mathematics , archaeology , artificial intelligence , mathematics education , finance
In recent years, many large scaled tunnels, like the Kouksa Tunnel, with complicated construction have emerged in China. The multiple factors, including intricate topography and weather conditions, all make the potential risks highly uncontrollable during tunnel excavation. The researching group made comprehensive assessments to geological risks of the Kouksa Tunnel through the fuzzy theory, and drew the conclusion that its risk belonged to level three, as a medium one. By assessing geological risks, it will be helpful for the construction unit to take measures to prevent high-risk geological disasters and ensure the safety of tunnels.

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