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Detection and quantification of structural damage under ambient vibration environment

机译：环境振动环境下结构损伤的检测与量化

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摘要

In this paper, a new damage detection and quantification method has been presented to perform detection and quantification of structural damage under ambient vibration loadings. To extract modal properties of the structural system under ambient excitation, natural excitation technique (NExT) and eigensystem realization algorithm (ERA) are employed. Sensitivity matrices of the dynamic residual force vector have been derived and used in the parameter subset selection method to identify multiple damaged locations. In the sequel, the steady state genetic algorithm (SSGA) is used to determine quantified levels of the identified damage by minimizing errors in the modal flexibility matrix. In this study, performance of the proposed damage detection and quantification methodology is evaluated using a finite element model of a truss structure with considerations of possible experimental errors and noises. A series of numerical examples with five different damage scenarios including a challengingly small damage level demonstrates that the proposed methodology can efficaciously detect and quantify damage under noisy ambient vibrations.
机译：在本文中，提出了一种新的损伤检测和量化方法，可以在环境振动载荷下进行结构损伤的检测和量化。为了提取环境激励下结构系统的模态特性，采用自然激励技术（NExT）和本征系统实现算法（ERA）。动态残余力矢量的灵敏度矩阵已被导出，并在参数子集选择方法中用于识别多个受损位置。在续集中，稳态遗传算法（SSGA）用于通过最小化模态柔性矩阵中的误差来确定已识别损害的量化水平。在这项研究中，考虑到可能的实验误差和噪声，使用桁架结构的有限元模型评估了提出的损伤检测和量化方法的性能。一系列具有五个不同破坏场景的数值示例，包括极具挑战性的较小破坏水平，表明所提出的方法可以有效地检测和量化嘈杂的环境振动下的破坏。

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