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- Title
基于长期气温模拟的混凝土坝变形预测混合模型.
- Authors
陈旭东; 侯阵阵; 郭进军
- Abstract
The temperature effect is usually simulated by harmonic function in the concrete dam deformation prediction model, but it does not consider the impact of dam body temperature changes in different years on the deformation of concrete dams. In response to this issue, the Finite Element Model (FEM) was used to calculate the water pressure component and harmonic sinusoidal functions were replaced by long-term air temperature to simulate the temperature effect on the dam response. Considering the nonlinear characteristics of concrete dam deformation process, Sparrow Search Algorithm (SSA) was introduced to optimize the parameters of Random Forest Regression (RFR) model, obtained the optimal parameters to train the mixture model, and finally built a concrete dam deformation prediction mixture model based on long-term temperature effect simulation. The results show that the RFR deformation prediction model optimized by SSA has a better fitting effect and prediction ability than that of the RFR deformation prediction hybrid model and the deformation prediction model based on the statistical regression method.
- Publication
Yellow River, 2023, Vol 45, Issue 9, p141
- ISSN
1000-1379
- Publication type
Article
- DOI
10.3969/j.issn.1000-1379.2023.09.024