水利水电科技进展2026，Vol.46Issue(3)：95-101,7.DOI:10.3880/j.issn.1006-7647.2026.03.013
基于Kriging代理模型优化算法的堆石坝参数反演方法
Parameters inversion method for rockfill dams based on Kriging surrogate model optimization algorithm
摘要
Abstract
To address the low efficiency of conventional methods for parameter inversion of rockfill dams,a rockfill dam parameter inversion method based on a Kriging surrogate model optimization algorithm is proposed.The method first extracts a small number of initial sample points from the parameter space using the Latin hypercube sampling method to establish a relatively coarse Kriging surrogate model.New sample points are then selected according to various infill criteria to update the sample set,thereby obtaining a higher-accuracy Kriging surrogate model to perform optimization until the convergence conditions are met.During the process of gradually adding the number of sampling points,this method can ensure that the newly added sample points fall within the parameter space with the greatest potential for optimal solutions,reducing the randomness of sample point selection of traditional surrogate models and thus improving inversion analysis efficiency.The verification results from an engineering case show that the proposed method can reduce the number of finite element model calculations,improve the sampling efficiency of the surrogate model,shorten the parameter inversion time,and enhance the average calculation accuracy at inversion analysis points.关键词
堆石坝/参数反演/Kriging代理模型/加点准则Key words
rockfill dam/parameter inversion/Kriging surrogate model/infill criteria引用本文复制引用
顾克,费香泽,刘佳龙,张琰..基于Kriging代理模型优化算法的堆石坝参数反演方法[J].水利水电科技进展,2026,46(3):95-101,7.基金项目
国家电网有限公司科技项目(5108-202218280A-2-301-XG) （5108-202218280A-2-301-XG）
