Carry out in-depth research on risk management issue in metro construction is of great significance for improving the safety and efficiency of metro construction.This article optimizes the risk management of metro construction by constructing a Bayesian network model to reduce the probability of metro construction collapse accident.The research establishes a Bayesian network model based on the data of metro construction collapse accidents in China during the period of 2008-2022,combined with the experience of experts.The model takes the"8·22"accident of Shenzhen metro line 13 as a case study,applies the value stream diagram to carefully refine the construction process,inputs the specific data into the Bayesian network model,verifies the validity of the model,and then proposes a series of targeted risk management measures based on the analytical results,and draws the future value stream diagram.The relevant research could provide new perspectives and tools for the safety management of metro construction,as well as references and a case to build on for risk assessment and management in relevant fields.
维普
万方数据