In the process of urban subway construction, accidents occur frequently during the construction period of the subway, and collapse is the most important accident, and the safety problems during the construction period of the subway need to be studied and solved urgently. There are many uncertainties and variability involved in collapse accidents during construction, which makes it difficult to study. Based on the data analysis of 273 subway construction accident cases in China in the past 20 years, the main risk factors affecting the accident during the collapse period are determined based on expert experience, investigation and analysis, etc., and the coupling of risk prediction and accident diagnosis of collapse accidents is realized based on the fuzzy Bayesian network method. The two-way problems of pre-accident prediction and prevention and rapid diagnosis and disposal after accidents are solved, so as to reduce the probability of major construction safety accidents and effectively reduce the losses after accidents. It provides an effective reference for the decision-making of relevant construction personnel, managers and government departments.
Yu Haiying
,
Kui Xiu
,
Shi Rui
,
Wang Rui
,
Liu Yang
. Research on the Coupling Method of Collapse Risk Prediction and Accident Diagnosis during Subway Construction Period[J]. Chinese Journal of Underground Space and Engineering, 2024
, 20(S2)
: 940
-948
.
DOI: 10.20174/j.JUSE.2024.S2.50
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