水力发电2024，Vol.50Issue(5)：101-109,9.
多策略改进的NGO算法在大坝参数反演中的应用
Application of Multi-strategy Improved NGO Algorithm for Dam Parameter Inversion
摘要
Abstract
In order to solve the problems of poor optimization seeking performance,insufficient accuracy and inefficiency in the inversion optimization of concrete dam parameters,a strategy for optimizing the inversion of concrete dam parameters based on the Multi-Strategy-based Improved Northern Goshawk Algorithm(MSNGO)is proposed.Firstly,multiple strategies are adopted to improve the optimization seeking ability of NGO algorithm.Then,combined with the finite element positive analysis,a suitable objective function between calculated and measured values is constructed,and the MSNGO is used to construct an intelligent optimized inversion model.A parallel strategy is adopted to improve the efficiency of inversion,and the optimal values of the parameter inversion are searched for.The method is validated by two cases and compared with the inversion results of other intelligent optimization algorithms.The results show that the MSNGO inversion strategy converges faster than other optimization algorithms,and can jump out of the local extremes to make the inversion parameter results more accurate;the calculated displacement values of the measurement points are in good agreement with the monitoring values,which indicates that the intelligent optimization method has a good application in the inverse analysis of concrete dams.关键词
多策略改进/北方苍鹰优化算法/位移统计模型/参数反演/弹性模量/混凝土坝Key words
multi-strategy improvement/Northern Goshawk optimization algorithm/displacement statistical model/parameter inversion/elastic modulus/concrete dam分类
建筑与水利引用本文复制引用
曹文翰,马琳,郝小鸟..多策略改进的NGO算法在大坝参数反演中的应用[J].水力发电,2024,50(5):101-109,9.基金项目
国家自然科学基金资助项目(52239009) （52239009）
中央高校基本业务费(2019B69814) （2019B69814）
