Abstract
In the process of assessing the risk of flooding during the construction of shield tunnel in coastal area, the basic probability of accidents is often difficult to be expressed by an exact numerical value due to the fact that the actual statistical data of accidents are too few or missing. In order to solve this problem, this paper, with the factors by combining the fuzzy Bayesian network inference advantages and the advantages of the fuzzy set theory to deal with fuzzy information, using a risk assessment method based on fuzzy Bayesian network method, established the waterfront subway shield tunnel construction risk decision model and predicted the subway shield tunnel flooded the area of probability; at the same time, the sensitivity of each basic event was calculated according to the fuzzy significance to identify the key risk factors, and the applicability and accuracy of this method were verified by combining with the regional engineering of Hujing station ∼ Wanshou station of Fuzhou Metro Line 6.
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