›› 2010, Vol. 31 ›› Issue (5): 1633-1637.

• Numerical Analysis • Previous Articles     Next Articles

Research on nonlinear time series evolution statistic model of high slope displacements

TAN Xiao-long 1, 2, XU Wei-ya 1, 2, LIANG Gui-lan1, MENG Yong-dong3, ZHANG Jin-long1   

  1. 1. Geotechnical Research Institute, Hohai University, Nanjing 210098, China; 2. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China; 3. School of Civil and Hydroelectric Power Engineering, China Three Gorges University, Yichang Hubei, 443002, China
  • Received:2008-12-30 Online:2010-05-10 Published:2010-05-24

Abstract:

Based on long term displacement monitoring data of high rock slope, the factors of slope displacement are presented firstly. Then the monitoring model for high rock slope, called nonlinear time series evolution statistic monitoring model is established. It is also applied to the high slope project of Jinping Hydropower Station. Time-effect and rainfall are assumed as two main factors of high slope displacement; and their formulas are also presented through the analysis of long term monitoring data. The parameters of the monitoring model are obtained by the nonlinear regression technique on the platform of Matlab. Meanwhile the monitoring model is improved by using ARMA method to fit and predict the residual of regression of slope displacement. The result shows that the monitoring model can characterize the behavior of high slope displacement and has a reliable fitting and predicting precision.

Key words: high slope displacement, nonlinearity, time series evolution statistic model, ARMA model

CLC Number: 

  • TU 471
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