CAJ | 학술논문

根据原型监测资料建立多元统计模型，可以及时地分析和监控大坝基础的工作状态。现有模型中的温度分量多用傅里叶函数来表示，无法精细反映坝基不同部位温度的实际分布特征。针对此种不足，以埋设于坝体不同部位的温度计的实测值作为温度分量，建立了渗压统计模型。以一抽水蓄能电站为例，分别建立了传统的基于傅里叶函数表示温度分量的和基于坝体温度计实测值的渗压统计模型，并采用逐步回归方法进行求解。结果表明，采用后一模型更为有效。
근거원형감측자료건립다원통계모형，가이급시지분석화감공대패기출적공작상태。현유모형중적온도분량다용부리협함수래표시，무법정세반영패기불동부위온도적실제분포특정。침대차충불족，이매설우패체불동부위적온도계적실측치작위온도분량，건립료삼압통계모형。이일추수축능전참위례，분별건립료전통적기우부리협함수표시온도분량적화기우패체온도계실측치적삼압통계모형，병채용축보회귀방법진행구해。결과표명，채용후일모형경위유효。
The multivariate statistical models based on the prototype monitoring data can be used to analyze the working behav-ior 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 stor-age power station as an example,two seepage pressure statistical models are established,which are based on the Fourier func-tion and on the measured values of the thermometer in the dam.They are solved by the stepwise regression method.The re-sults show that the latter one is more efficient.