• DocumentCode
    3410310
  • Title

    Modification of GM(1,1) and its application in analysis of rock-slope deformation

  • Author

    Liu, Z.B. ; Xu, W.Y. ; Meng, Y.D. ; Chen, H.J.

  • Author_Institution
    Key Lab. of Min. of Educ. for Geomechanics & Embankment Eng., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    Rock slope is an unknown and complicated system; the GS (grey system) theory may release some of its implicated rules. This paper was aimed to discover the evolution rules of the complicated high rock-slope, using the GS Theory. The GM(1,1), deprived from the GS theory, was widely used in analysis of the ordinary time series, but it did not work well for time series with strong disorder or randomization. According to analysis, the modified GM(1,1) model was brought forward in the paper to fit the characteristic of the monitoring data of complicated high rock-slopes. Meanwhile, through the application in the analysis of rock-slope deformation, it was shown that promotion of precision of the modified GM(1,1) model was proved apparently. Finally, the result showed that the modified GM(1,1) model was fit for short-term direction prediction of the rock slopes in Jinping hydropower station, and helped to open out the developing pattern of the rock-slope stress, thus providing certain consultation and groundwork for further study of the rock slopes.
  • Keywords
    deformation; geotechnical engineering; grey systems; rocks; stress analysis; time series; Jinping hydropower station; grey system theory; rock-slope deformation analysis; rock-slope stress; time series; Deformable models; Differential equations; Environmental factors; Helium; Hydroelectric power generation; Intelligent systems; Monitoring; Predictive models; Stress; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408281
  • Filename
    5408281