Milling Deformation Features of Complex Engineering Slope via Safety Monitoring
A nonlinear regression model is presented in this article for mining deformation features of complex engineering slope on the basis of various monitoring data. It is aimed to discover the factors which have evident effect on slope deformation, as well as the order of importance of the factors. Based on site At first, slope monitoring design is introduced to well uncover the deformation of different positions in the slope. Then the nonlinear regression equation is established on the basis of analysis on the influencing factors of slope deformation. The factors associated with the time-depending factor, the rainfall, slope excavation and the temperature etc. are taken into account in this nonlinear regression model. Analysis of the observing point PD44 is illustrated in this study. The results show that the nonlinear regression model can be established with sufficient monitoring data and it can well discover the order of importance of the factors that have effects on slope deformations. The results can provide quantitative references for slope remedy and treatment.
high steep slope deformation mining nonlinear regression secular distortion Jinping 1 Itydropower station
Linwei WANG Zaobao LIU Dan JIN Qingxiang MENG
Geotechnical Research Institute of Hohai University;Col. Hyd. Env. Eng., Three George University Nan Geotechnical Research Institute of Hohai University Dep. Civil and Trans. Engineering, HHU Nanjing, Geotechnical Research Institute of Hohai University Dep. Civil and Trans. Engineering, HHU Nanjing,C
国际会议
三峡
英文
2504-2508
2012-05-18（万方平台首次上网日期，不代表论文的发表时间）