摘要
为进一步提高混凝土拱坝材料参数获取的准确性,构建了基于多输出支持向量回归(MSVR)和麻雀搜索算法(SSA)的混凝土拱坝材料参数反演模型。为了快速模拟坝体径向位移与材料参数的非线性关系,建立了高精度的MSVR模型代替有限元模型计算,并利用SSA对所需参数进行寻优反演。工程实例验证结果表明:构建的反演模型计算精度高,计算速度快,能快速反演坝体与坝基材料参数,可用于实际工程的材料参数反演分析。
To further improve the accuracy of obtaining material parameters for concrete arch dams,a material parameter inversion model based on multi-output support vector regression(MSVR)and sparrow search algorithm(SSA)was constructed.To quickly simulate the nonlinear relationship between radial displacement of dam body and material parameters,a high-precision MSVR model was established instead of the finite element model calculation,and SSA was used to optimize and invert the required parameters.The verification results of engineering examples show that the constructed inversion model has high calculation accuracy and fast calculation speed,which can quickly invert the material parameters of the dam body and dam foundation,and can be used for the inversion analysis of material parameters in actual engineering.
作者
杨杰
刘智
宋锦焘
程琳
马春辉
冉蠡
YANG Jie;LIU Zhi;SONG Jintao;CHENG Lin;MA Chunhui;RAN Li(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region,Xi’an University of Technology,Xi’an 710048,China;Institute of Water Resources and Hydroelectric Engineering,Xi’an University of Technology,Xi’an 710048,China)
出处
《水利水电科技进展》
CSCD
北大核心
2023年第5期53-57,共5页
Advances in Science and Technology of Water Resources
基金
国家自然科学基金项目(52109166)。
关键词
拱坝
材料参数
麻雀搜索算法
多输出支持向量回归
参数反演
arch dam
material parameters
sparrow search algorithm
multi-output support vector regression
parameter inversion
