Abstract
Aiming at the problems of low accuracy, low efficiency, and many parameters required in the current calculation of rock slope stability, a prediction model of rock slope stability is proposed, which combines principal component analysis (PCA) and relevance vector machine (RVM). In this model, PCA is used to reduce the dimension of several influencing factors, and four independent principal component variables are selected. With the help of RVM mapping the nonlinear relationship between the safety factor of slope stability and the principal component variables, the prediction model of rock slope stability based on PCA-RVM is established. The results show that under the same sample, the maximum relative error of the PCA-RVM model is only 1.26%, the average relative error is 0.95%, and the mean square error is 0.011, which is far lower than that of the RVM model and the GEP model. By comparing the results of traditional calculation method and PCA-RVM model, it can be concluded that the PCA-RVM model has the characteristics of high prediction accuracy, small discreteness, and high reliability, which provides reference value for accurately predicting the stability of rock slope.
Highlights
Slope sliding is a common geological disaster phenomenon, which has great harm
In order to effectively control the slope instability, researchers have carried out a lot of slope stability evaluation work, in order to reduce the loss caused by slope sliding and save the cost of disaster prevention and mitigation
The results show that the cohesion is more affected by dry wet cycle than internal friction angle; Wang et al [11] based on Swedish slice method, combined with DEM data and GIS components, realized the search of slope sliding surface; Yang and Zhao [12] took a landslide in Sichuan Province as the research object, based on the simplified Bishop method and FLAC 3D, and simulated the deformation and stress of the slope in the process of sliding; Xiao et al [13], respectively, used the simplified Bishop method and Fellenius method to analyze the slope stability under earthquake action
Summary
Slope sliding is a common geological disaster phenomenon, which has great harm. Once it occurs, it will seriously threaten people’s lives and property and various engineering safety, causing great losses [1, 2]. Theoretical research: Deng et al [16] introduced the Hoek Brown criterion into the stability analysis of jointed slope and combined with interval theory to obtain the threshold value of safety factor; Lei and Zheng [17] deeply analyzed the concept of seepage force and effective stress applied in Swedish slice method; Fang [18] discussed the law of the minimum solution of slice method by comparing the calculation results of various common slope safety factors; Wang [19] introduced the tangential force and normal force between strips into the calculation of the Janbu method, modified the Janbu method, and improved the accuracy of the calculation results; Deng et al [20] proposed a new slope sliding surface search method based on the Janbu method and random angle, which has the advantages of easy programming and wide simulation range. The example of Fuwushan slope is used to verify the analysis, which provides a new way for rock slope stability prediction
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