水力发电
水力髮電
수력발전
WATER POWER
2014年
12期
97-100
,共4页
黄华东%郭张军%韩耀铭%杨文曦
黃華東%郭張軍%韓耀銘%楊文晞
황화동%곽장군%한요명%양문희
大坝变形%预测模型%时变模型%多因素%安康水电站
大壩變形%預測模型%時變模型%多因素%安康水電站
대패변형%예측모형%시변모형%다인소%안강수전참
dam deformation%prediction model%time-varying model%multifactor%Ankang Hydropower Station
在分析了大坝变形多种影响因素及其影响特征的基础上,利用结合多层递阶方法与多元回归分析方法建立了多因素时变监控模型,根据安康大坝表孔、中孔坝段的变形观测数据,建立了安康大坝变形预测模型。分析表明:多因素时变监控模型较多元回归分析方法具有更高的准确性,可以显著提高大坝变形预报精度。
在分析瞭大壩變形多種影響因素及其影響特徵的基礎上,利用結閤多層遞階方法與多元迴歸分析方法建立瞭多因素時變鑑控模型,根據安康大壩錶孔、中孔壩段的變形觀測數據,建立瞭安康大壩變形預測模型。分析錶明:多因素時變鑑控模型較多元迴歸分析方法具有更高的準確性,可以顯著提高大壩變形預報精度。
재분석료대패변형다충영향인소급기영향특정적기출상,이용결합다층체계방법여다원회귀분석방법건립료다인소시변감공모형,근거안강대패표공、중공패단적변형관측수거,건립료안강대패변형예측모형。분석표명:다인소시변감공모형교다원회귀분석방법구유경고적준학성,가이현저제고대패변형예보정도。
Based on the analyses of the influencing factors and influencing characteristics of dam deformation, a multiple factor time-varying model is set up by combining the multilayer hierarchical analysis method and regression analysis method. The deformation monitoring data of surface spillway and middle orifices of Ankang Dam are used to set up the prediction model of deformation. The analysis results show that the multiple factors time-varying method is more accurate than regression analysis method, and can significantly improve prediction accuracy of dam deformation.