基于分级遗传算法的结构损伤识别方法

提出了一种基于遗传算法的利用不完整振动数据识别结构损伤的新方法，该方法首先扩展不完整的振型并利用单元能量熵差比确定结构损伤的大致位置，然后采用二级搜索策略，借助遗传算法确定结构损伤的程度，数值计算结果表明，当可能的损伤区域较大时，本方法较直接搜索策略更能有效地确定结构损伤的程度。

Structural damage identification based on a genetic algorithm using two-level search strategy

This paper described a method for identifying structural damage based on a genetic algorithm using incomplete and noisy modal test data. The incomplete mode shape data were expanded to match with all degrees of freedom of the finite element model under consideration. The elemental energy quotient difference ratio was employed to locate the damage domain approximately. A genetic algorithm was used to quantify the damage extent by minimizing the errors between the measured data and numerical results using the two-level search strategy proposed. Numerical results show that the proposed two-level search strategy is often more efficient in quantification of damage extent than the direct search strategy when there are a lot of candidates in the possible damage domain.