A Comprehensive Prediction Method for the Saturated Internal Friction Angle of Sliding Zone Soils Based on Landslide Engineering Requirements

摘要

The measurement of the saturated internal friction angle of landslide sliding zone soils during the geological investigation could assist in engineering design, as it is a crucial parameter for landslide control. This research developed a comprehensive method to predict the saturated internal friction angle based on the support vector machine (SVM), after investigating the relationship between the saturated internal friction angle and the factors that affect the saturated internal friction angle. The procedure mainly consists of exploratory data analysis, influencing factors analysis, and prediction model set-up. Among the 18 factors, the evolution stage, gravel content, plasticity index, and dry unit weight were the most relevant factors predicting the saturated internal friction angle. The proposed method was illustrated and verified by a model accuracy test with the mean absolute error of the radial basis functions (RBF) kernel function was 0.90 degrees, and the mean relative error was 8.77%. Therefore, this method could provide a reliable saturated internal friction angle in assisting engineers during landslide control.