摘要
Considering the geological hazards attributed to the highway slope,using a common simple model cannot accurately assess the stability of the slope.First,principal component analysis(PCA)was conducted to extract the principal components of six factors(namely,bulk density,cohesion,internal friction angle,slope angle,slope height,and pore water pressure ratio)affecting the slope stability.Second,four principal components were adopted as input variables of the support vector machine(SVM)model optimized by genetic algorithm(GA).The output variable was slope stability.Lastly,the assessing model of highway slope stability based on PCA-GA-SVM is established.The maximal absolute error of the model is 0.0921 and the maximal relative error is 9.21%by comparing the assessment value and the practical value of the test sample.The above studies are conducive to enrich the assessing model of highway slope stability and provide some reference for highway slope engineering treatment.
基金
This research was supported by the National Natural Science Foundation of China(41807231)
the project“Subsidies of innovative ability training for postgraduates”in Hebei Provincial Education Department(CXZZSS2019115)
the“Subsidies for scientific research projects after the 16th student science and technology fund of Hebei GEO University”(KAD201906)
the“Provincial Geological Exploration Project of Shanxi Department of Land and Resources”(SXZDF20170820).
