IFRAM-BN model for causes of accidents in attached lifting scaffolding under heavy rainfall scenarios
Frequent heavy rainfall events cause a dramatic increase in attached elevator scaffolding accidents.In order to improve construction safety and reduce the accident rate under heavy rainfall scenarios,an accident causation analysis model based on combination of IFRAM and BN was proposed.The model first qualitatively identified accident mechanisms and explored system functional resonance using IFRAM.Next,IFRAM was mapped to a BN quantitative analysis model,and the prior probabilities of each root node were computed using cloud optimization.Finally,taking the Xi'an"9.10"accident as an example,empirical research was conducted,and corresponding preventive measures were proposed.The results indicate that accidents are most likely to occur when the safety status is Ⅳ.The core causes of climbing accidents include workers violating regulations,failure to conduct mandatory supervision such as standing by and heavy rainfall.The combination of factors such as heavy rainfall environment and overloading of the frame after rain is the key to inducing frame climbing accidents.
heavy rainfallattached lifting scaffoldingcauses of accidentsimproved functional resonance analysis model(IFRAM)Bayesian network(BN)contact cloud
万方数据
维普
