基于混合遗传算法的子结构损伤识别  

Damage Detection of a Substructure Based on Hybrid Genetic Algorithm

作　　者：邹大力[1] 屈福政[1] 孙铁兵[1] 

机构地区：[1]大连理工大学精密与特种加工教育部重点实验室

出　　处：《农业机械学报》2005年第5期121-124,共4页Transactions of the Chinese Society for Agricultural Machinery

摘　　要：采用基于柔度矩阵的优化目标函数,将遗传算法(GA)、模拟退火算法(SA)和局部搜索算法(LS)结合起来组成混合遗传算法(HGA),用于结构的损伤识别,并进一步通过应用子结构法来提高识别的效率。基于桁架的模拟计算结果表明,HGA克服了标准遗传算法(SGA)的不足,算法的收敛速度和识别精度都有显著的提高,而与子结构法的结合也使对复杂结构的损伤识别成为可能。A hybrid computational strategy combined the genetic algorithm (GA), the simulated annealing algorithm (SA) and the compatible local search operator (LS) was adopted to identify damages of a structure, in which the substructure identification was also applied to improve computation efficiency. A simulation result of a frame showed that the hybrid GA (HGA) mended the deficiencies of the simple GA (SGA), which made both the constringent speed and the identification precision improved. The use of a substructure method made damage identification of a complicated structure possible.

关 键 词：结构损伤识别 子结构 混合遗传算法 模拟退火算法 局部搜索算法 遗传算法 

分 类 号：TH113.1[机械工程—机械设计及理论]