摘要
介绍了卡尔曼滤波法的基本原理,以白莲崖碾压混凝土双曲拱坝为例,选取坝顶垂直位移为分析对象,建立了卡尔曼滤波模型,进行实例计算,预测大坝变形。计算结果表明,卡尔曼滤波模型能充分考虑温度、库水位和时效影响对坝体变形的影响,预测精度高,具有工程应用价值。
Forecast of RCC arch dam＇s monitoring data is very important in revealing the deformation of dam as well as the protection of its structural safety.This paper attempts to set up and use Kalman filter method on the forecast of RCC arch dam＇s monitoring data： it analyzes the monitoring data of vertical displacement of Bailianya Dam.The results show that the method of Kalman filter method take desperation,Water Level and valid time into account,and the proposed method has a degree of applicability.
出处
《水电自动化与大坝监测》
2011年第6期52-54,69,共4页
HYDROPOWER AUTOMATION AND DAM MONITORING
基金
浙江省水利厅专项科研项目(RC1028)
浙江水利水电专科学校基金资助项目(XKY-201005)
关键词
卡尔曼滤波法
双曲拱坝
垂直位移
变形分析
Kalman filter method
double curvature arch dam
vertical displacement
deformation analysis
