基于混合遗传算法的子结构损伤识别

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。

Damage Detection of a Substructure Based on Hybrid Genetic Algorithm

A hybrid computational strategy combined the genetic algorithm (GA), the simulat ed annealing algorithm (SA) and the compatible local search operator (LS) was ad opted to identify damages of a structure, in which the substructure identifica tion 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 com plicated structure possible.