统计模型, 重力拱坝, 双曲拱坝, 重力坝, 混凝土面板堆石坝, 影响因子, 建模方法

There are various methods to establish statistical models for dam safety monitoring, including multiple linear regression, stepwise regression, partial least squares regression, principal component regression, BP neural network, support vector machine, long short-term memory neural network, etc. However, some methods still has certain limitations. In this paper, taking gravity arch dam, double curved arch dam, gravity dam, and face slab rockfill dam as examples and considering the influence of different sets of influencing factors and modeling methods, multiple ideas and methods are used to compare and determine the optimal structure and modeling method of statistical models for monitoring different types of dam projects, forming a template for reference.

statistical model, gravity arch dam, double curved arch dam, gravity dam, concrete face rockfill dam, influencing factor, modeling method