Deformation Statistic Regression Analysis Model for Gravity Dam and Its Application
Qiangyong Zhang
Abstract
Qiangyong Zhang
Abstract
It adopts gradual regression analysis to establish the deformation statistic regression analysis model through analysis on observed deformation data of a gravity dam of a hydro-power station for years and considering the influence of water level, temperature and aging on dam deformation. The calculation results show that the statistic and monitoring value are fairly identical, multiple correlation coefficients bigger and estimated standard error smaller. The deformation statistic regression analysis model has reflected the deformation rule of the dam in a standard way and provides effective analysis means and methods for evaluating the safety character of dam operation and predicting the development trend of dam deformation.
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It adopts gradual regression analysis to establish the deformation statistic regression analysis model through analysis on observed deformation data of a gravity dam of a hydro-power station for years and considering the influence of water level, temperature and aging on dam deformation. The calculation results show that the statistic and monitoring value are fairly identical, multiple correlation coefficients bigger and estimated standard error smaller. The deformation statistic regression analysis model has reflected the deformation rule of the dam in a standard way and provides effective analysis means and methods for evaluating the safety character of dam operation and predicting the development trend of dam deformation.
Key concepts: Gravity dam, Statistic, Deformation (meteorology), Regression analysis, Deformation monitoring, Statistics, Regression, Geotechnical engineering