摘要
对大坝进行变形监测,必须同时测量产生变形的各种物理量(荷载)以及变形的结果,结合统计回归分析的方法建立两者之间的函数关系,这就叫做回归分析方法。回归模型可以描述随机变量与其它变量之间的相关关系,而要揭示某个随机过程内部的规律性,即随机过程本身的观测数据之间的依赖关系,需要用到自回归模型。本文结合某大坝30期的水平变形监测数据对自回归模型进行分析,并结合回归分析法加以对比对其优势劣势加以阐述。
For deformation monitoring in dam, simultaneously survey must be taken to physical quantity （load） as well as the distortion value, then functional relation between them can be established by means of statistical regression analysis method that is called regression analysis method. Regression model can describe correlational dependence between the random variable and other variable. However, in order to reveal the regularity of process, which is dependent relations of observation data of the random process itself, we should consider auto-regression model. This paper has carried on analysis on auto-regression models with 30 level distortion monitoring data of a dam, then described advantages and disadvantages by contrast with regression analysis.
出处
《工程地球物理学报》
2007年第6期644-647,共4页
Chinese Journal of Engineering Geophysics
关键词
变形监测
回归分析
自回归
deformation monitoring
regression analysis
auto- regression model
