STUDY ON SLOPE STABILITY PREDICTION MODEL BASED ON GA-SVM
Slope instability causes significant economic losses worldwide every year.In order to judge the stability state of slopes more quickly and accurately and to guarantee the safety of slope engineering.To address this issue,this paper proposes to construct a slope stability prediction model using GA-SVM algorithm.Six typical slope parameters are selected:capacity,cohesion,internal friction angle,slope angle,slope height and pore water pressure ratio as input side elements and slope state as output side elements,combined with 740 actual engineering case data collected to build a completed model training sample set.The results show that the AUC value of GA-SVM model is 0.942,the accuracy is 0.976,the recall is 0.976,the accuracy is 0.979,and the F1 score is 0.976,reflecting that the model has high prediction accuracy,strong generalization ability and reliable prediction results in identifying the slope instability state.Then,combined with the engineering example verification reflects that the assessment results of slope state are consistent with the actual situation.It indicates that the GA-SVM model can be applied to the actual slope stability prediction,which can provide a basis for the design and construction of slopes and has good application prospects in the actual engineering application.
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