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

Content Provider	IEEE Xplore Digital Library
Author	Liu, Z.B. Xu, W.Y. Meng, Y.D. Chen, H.J.
Copyright Year	2009
Description	Author affiliation: Key Lab of Min. of Education for Geomechanics and Embankment Engineering and Geotechnical Research Institute of Hohai University, Nanjing, 210098 China (Liu, Z.B.) \|\| Institute of Geotechnical Engineering, Hohai University, Nanjing, 210098 PRC (Xu, W.Y.) \|\| Key Lab of Min. of Education for Geomechanics and Embankment Engineering and Geotechnical Research Institute of Hohai University, Nanjing, 210098 (Meng, Y.D.)
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.
Starting Page	415
Ending Page	419
File Size	91572
Page Count	5
File Format	PDF
ISBN	9781424449149
DOI	10.1109/GSIS.2009.5408281
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Deformable models Time series analysis Hydroelectric power generation Differential equations Predictive models Environmental factors Helium Intelligent systems Monitoring Stress
Content Type	Text
Resource Type	Article

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