水力发电学报2024，Vol.43Issue(10)：97-106,10.DOI:10.11660/slfdxb.20241009
基于MTSVR-ISAO的混凝土重力坝参数反演方法
MTSVR-ISAO based inversion method for concrete gravity dam parameters
摘要
Abstract
Parameter identification of a concrete dam is the key to evaluating its behaviors.To further improve the efficiency and accuracy of parameter inversion,this paper develops a novel inversion strategy for concrete dam parameters based on the multi-output twin support vector regression(MTSVR)and the improved snow ablation optimization(ISAO).A nonlinear relationship of the parameters to be inverted versus the hydrostatic pressure component of displacement is simulated by training the MTSVR model,in place of complex finite element calculations;ISAO is used for optimizing the inversion of the target parameters.Analysis of engineering examples shows that the results of this surrogate model basically agree with those of the finite element calculations,ISAO has faster convergence and higher accuracy than the traditional meta-inspired optimization,and the computational cost of single parameter inversion is lower.This verifies that our new inversion strategy effectively improves computational efficiency while maintaining the computational accuracy,and that the method is effective,practical and useful for the parameter identification of actual projects.关键词
混凝土坝/力学参数反演/多输出孪生支持向量机/改进雪消融优化/代理模型Key words
concrete dam/parameter inversion/multi-output twin support vector regression/improved snow ablation optimization/surrogate model分类
水利科学引用本文复制引用
曹文翰,马琳,苏怀智..基于MTSVR-ISAO的混凝土重力坝参数反演方法[J].水力发电学报,2024,43(10):97-106,10.基金项目
国家自然科学基金项目(52239009) （52239009）
