The Safety Risk Assessment Method and Application for Expressway Cutting Slope
Based on geological disaster data samples from 258 high cutting slopes on the a certain expressway in Guangdong province,this paper summarized the types of geological disaster on the expressway slopes,and proposed a multi-disaster phased full-process expressway slope safety risk assessment method,which was then applied. A combination of neural network method ( GABP ) and analytic hierarchy process ( AHP ) was used to model the safety risk assessment of the expressway cutting slope. The results indicated that the main types of geological disasters on the cutting slopes of this expressway are erosion,spalling,sliding,collapse,and landslides. The BP neural network optimized by genetic algorithm has conducted the vulnerability assessment of the safety risk of the cutting slope of this expressway. Based on the Analytic Hierarchy Process,a multi-disaster risk and disaster assessment model for the cutting slope in this expressway had been obtained. The condition of 258 high cutting slopes in this expressway are generally good,with a proportion of 0 high-risk slopes and 0.37％ slope with a high risk of landslide and collapse.
万方数据
维普
