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Construction method of concrete dam deformation safety monitoring model
The invention discloses a construction method of a concrete dam deformation safety monitoring model, specifically, on the basis that by using the historical data of dam deformation observation, a stepwise regression model is established, a shuffled frog leaping algorithm (SFLA) with local optimization performance and global optimization performance is adopted to determine a weight coefficient of each sub-model, an inversion analysis method of dam prototype data is utilized to determine physical and mechanical parameters of a dam, a frog leaping hybrid model is established, and then a concretedam deformation safety monitoring model is obtained. According to the method, the residual error is analyzed and predicted by using the chaos theory, and the residual error prediction item is added tothe leapfrog prediction hybrid model, so that the problem that the fitting effect is good and the prediction result is poor due to the fact that the influence of the fitting residual error is not considered in a conventional dam displacement monitoring model is effectively solved.
本发明公开了一种混凝土坝变形安全监控模型的构建方法，具体是利用大坝变形观测的历史数据，在建立逐步回归模型的基础上，采用具有局部优化性能和全局优化性能的混合蛙跳算法（SFLA）确定各子模型的权重系数，利用大坝原型资料的反演分析方法确定大坝的物理力学参数，建立蛙跳混合模型，进而得到一种混凝土坝变形安全监控模型。本发明方法运用混沌理论对残差进行分析和预测，并将残差预测项添加到蛙跳预测混合模型中，有效解决了常规大坝位移监控模型未考虑拟合残差的影响而出现的拟合效果好但预测结果不佳的问题。
Construction method of concrete dam deformation safety monitoring model
The invention discloses a construction method of a concrete dam deformation safety monitoring model, specifically, on the basis that by using the historical data of dam deformation observation, a stepwise regression model is established, a shuffled frog leaping algorithm (SFLA) with local optimization performance and global optimization performance is adopted to determine a weight coefficient of each sub-model, an inversion analysis method of dam prototype data is utilized to determine physical and mechanical parameters of a dam, a frog leaping hybrid model is established, and then a concretedam deformation safety monitoring model is obtained. According to the method, the residual error is analyzed and predicted by using the chaos theory, and the residual error prediction item is added tothe leapfrog prediction hybrid model, so that the problem that the fitting effect is good and the prediction result is poor due to the fact that the influence of the fitting residual error is not considered in a conventional dam displacement monitoring model is effectively solved.
本发明公开了一种混凝土坝变形安全监控模型的构建方法，具体是利用大坝变形观测的历史数据，在建立逐步回归模型的基础上，采用具有局部优化性能和全局优化性能的混合蛙跳算法（SFLA）确定各子模型的权重系数，利用大坝原型资料的反演分析方法确定大坝的物理力学参数，建立蛙跳混合模型，进而得到一种混凝土坝变形安全监控模型。本发明方法运用混沌理论对残差进行分析和预测，并将残差预测项添加到蛙跳预测混合模型中，有效解决了常规大坝位移监控模型未考虑拟合残差的影响而出现的拟合效果好但预测结果不佳的问题。
Construction method of concrete dam deformation safety monitoring model
一种混凝土坝变形安全监控模型的构建方法
WEI BOWEN (author) / LUO SHAOYANG (author) / LEI BIN (author) / LI HUOKUN (author) / YUAN DONGYANG (author)
2020-06-09
Patent
Electronic Resource
Chinese
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