2012Applied Mechanics and MaterialsOpen access

Stepwise Regression Arithmetic and its Application on Slope Safety Monitoring

Lan Chen, Bang Bin Wu, Jing Yang Liu

Open full text 1 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Deformation (meteorology), Regression analysis, Hydropower, Deformation monitoring, Regression, Residual, Standard deviation, Geotechnical engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
Stepwise Regression Arithmetic and its Application on Slope Safety Monitoring — Research Paper | ScholarLens