计算力学学报2024，Vol.41Issue(4)：702-708,7.DOI:10.7511/jslx20230508001
结合蜉蝣算法和响应面的结构静力损伤识别
Structural damage identification using mayfly intelligent algorithm and static response surface model
摘要
Abstract
This paper presents a structural damage identification method combining the Mayfly Intelligent Search Algorithm and Static Response Surface Model(SRSM).First,a regularized optimization objective function is constructed based on the sensitivity-based static residual damage equation and displacement residual index,and then the Mayfly Intelligent Search Algorithm in the field of artificial intelligence is used to identify the damage at the structural element level.In the optimization process,in order to solve the problem of inconsistency between static load points and displacement measurement points,the static condensation and displacement extension methods are used to reconstruct the damage identification equation.At the same time,the displacement residual in the objective function is calculated by using the static displacement SRSM,which avoids the time-consuming finite element calculation and improves the optimization efficiency.The numerical example of a simply-supported simple beam shows that the proposed method is superior to the traditional Particle Swarm(PSO)or Differential Evolution(DE)algorithms in terms of optimization speed and accuracy;compared with the method based on the static residual damage equation or displacement residual index alone,the damage identification is more accurate.The static-load experiment of an aluminum alloy cantilever beam with damage further verifies the efficiency and effectiveness of the method in this paper.关键词
蜉蝣算法/静力损伤识别/响应面/静力损伤方程/静力残差Key words
mayfly algorithm/static damage identification/Response Surface Model/static damage equation/static residual分类
数理科学引用本文复制引用
宋彦朋,陈辉,黄斌,吴志峰..结合蜉蝣算法和响应面的结构静力损伤识别[J].计算力学学报,2024,41(4):702-708,7.基金项目
国家自然科学基金(51578431 （）
51978545) （）
海南省自然科学基金(522CXTD517)资助项目. （522CXTD517）
