Probabilistic Evaluation of Tunnel Excavation Safety Risk Based on Bayesian Classification Algorithm
The early identification and risk assessment of safety risk factors for tunnel excavation are of great guiding significance for the construction and safety management of tunnels in the later stage.The impact factor were determined based on the collection of information on the eight tunnels in the study area.Meanwhile the mainstream problems encoun-tered in the same type of tunnel excavation were discussed.The weight proportion of each safety risk factor was deter-mined using the expert scoring method,and the six primary safety risk factors and twenty secondary safety risk factors were determined.The weights of each primary factor were normalised to determine the conditional probability and prior probability table of each safety risk factor.Finally,GeNie2.3 software was used to evaluate the risk.The research results show that the overall safety risk level of the tunnel involved in the line is level Ⅲ,and the most sensitive safety risk fac-tors are earthquake(B3),landslide(B6)and rationality of excavation mode(B15).On this basis,the corresponding coun-termeasures are proposed.
tunnelBayesian networkprobability of riskrisk identificationsensitivity
NETL
NSTL
万方数据
维普
