Stepwise Regression Arithmetic and its Application on Slope Safety Monitoring

Abstract:

Considering the effect of time, rainfall and temperature on slope deformation, deformation factors and expressions were deeply analyzed. Statistical regression model of slope deformation was established by Matlab software and stepwise regression algorithm, thus slope deformation can be regression analyzed and predicted. Through analyzing the deformation monitoring data of a hydropower station spillway left high slope, the result showed that statistical regression values of slope deformation are in good agreement with measured values, multiple correlation coefficients were good and the residual standard deviations were small. This model can reflect slope deformation and trend. It provided guidelines to analyze on security status and prediction of deformation trend with great practical value.

• Periodical: Applied Mechanics and Materials (Volumes 204-208)
• Pages: 2859-2864
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.204-208.2859
• Online since: October 2012
• Authors: Lan Chen, Bang Bin Wu, Jing Yang Liu
• Keywords: Effect Factor, Multiple Correlation Coefficients, Residual Standard Deviation, Slope Deformation, Statistical Regression Model

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