Modeling dam deformation using independent component regression method

Abstract In the application of regression analysis method to model dam deformation, the ill-condition problem occurred in coefficient matrix always prevents an accurate modeling mainly due to the multicollinearity of the variables. Independent component regression (ICR) was proposed to model the dam deformation and identify the physical origins of the deformation. Simulation experiment shows that ICR can successfully resolve the problem of ill-condition and produce a reliable deformation model. After that, the method is applied to model the deformation of the Wuqiangxi Dam in Hunan province, China. The result shows that ICR can not only accurately model the deformation of the dam, but also help to identify the physical factors that affect the deformation through the extracted independent components.

[1]  Giulio Maier,et al.  Diagnostic analysis of concrete dams based on seasonal hydrostatic loading , 2008 .

[2]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[3]  Jie Xiao,et al.  Analysis and application of automatic deformation monitoring data for buildings and structures of mining area , 2011 .

[4]  DAM DEFORMATION ANALYSIS USING THE PARTIAL LEAST SQUARES METHOD , 2008 .

[5]  Li Lirui.  Dam Displacement Model Based on Principal Component Regression , 2008 .

[6]  Ying-wei Zhang,et al.  Complex process monitoring using modified partial least squares method of independent component regression , 2009 .

[7]  A. De Sortis,et al.  Statistical analysis and structural identification in concrete dam monitoring , 2007 .

[8]  Hiromasa Kaneko,et al.  Development of a New Regression Analysis Method Using Independent Component Analysis , 2008, J. Chem. Inf. Model..

[9]  Frank Westad,et al.  Independent component analysis and regression applied on sensory data , 2005 .

[10]  Mahesh D. Pandey,et al.  Independent component regression for predicting the responses of biaxial base‐isolated buildings , 2009 .

[11]  Guang-yong Xi,et al.  Application of an artificial immune algorithm on a statistical model of dam displacement , 2011, Comput. Math. Appl..

[12]  A. Szostak-Chrzanowski,et al.  Use of deformation monitoring results in solving geomechanical problems—case studies , 2005 .

[13]  Theodor D. Popescu,et al.  A NEW APPROACH FOR DAM MONITORING AND SURVEILLANCE USING BLIND SOURCE SEPARATION , 2011 .

[14]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[15]  W. Cai,et al.  A new regression method based on independent component analysis. , 2006, Talanta.