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Statistical Model for Seepage Pressure of the Pumped Storage Power Station based on the Temperature Measured Data and Its Application
Pages: 41-44
Year: Issue:  1
Journal: Dam Observation and Geotechnical Tests

Keyword:  Improved multivariate statistical modelseepage pressuretemperature componentpumped storage power station;
Abstract: The multivariate statistical models based on the prototype monitoring data can be used to analyze the working behavior of the dam foundation with time.The temperature component in the existing model is described by the Fourier function,but it can’t actually reflect the distribution of the different parts of the dam.In such deficiencies,the measured values of the thermometer in the dam are as temperature component to establish statistical model for seepage pressure.With a pumped storage power station as an example,two seepage pressure statistical models are established,which are based on the Fourier function and on the measured values of the thermometer in the dam.They are solved by the stepwise regression method.The results show that the latter one is more efficient.
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