Structural damage detection using an efficient correlation-based index and a modified genetic algorithm
Structural damage detection using an efficient correlation-based index and a modified genetic algorithm
复制标题
DOI：
10.1016/j.mcm.2010.12.058
复制
发表时间：
2011-05
期刊：
影响因子：
--
通讯作者：
M. Nobahari;S. M. Seyedpoor
中科院分区：
文献类型：
--
作者：
M. Nobahari;S. M. Seyedpoor
提出了一种有效的结构系统多损伤检测优化方法。结构的固有频率变化被认为是损伤存在的一个标准。为了评估所需的固有频率，使用有限元分析（FEA）。一种改进的遗传算法（MGA）与两个新的运营商（健康和模拟器运营商），以准确地检测的位置和程度的最终损伤。一个有效的相关性为基础的指数（ECBI）作为优化算法的目标函数也被引入。考虑测量噪声的两个基准算例的数值结果表明，该方法在精确确定结构多重损伤的位置和程度方面具有计算优势。
An efficient optimization procedure is proposed to detect multiple damage in structural systems. Natural frequency changes of a structure are considered as a criterion for damage presence. In order to evaluate the required natural frequencies, a finite element analysis (FEA) is utilized. A modified genetic algorithm (MGA) with two new operators (health and simulator operators) is presented to accurately detect the locations and extent of the eventual damage. An efficient correlation-based index (ECBI) as the objective function for the optimization algorithm is also introduced. The numerical results of two benchmark examples considering the measurement noise demonstrate the computational advantages of the proposed method to precisely determine the sites and the extent of multiple structural damage.