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Damage identification in frame structures using high-speed digital image correlation and local modal filtration

机译:使用高速数字图像相关和局部模态过滤框架结构造成损坏识别

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摘要

This paper presents a technique for vibration-based damage detection and localization in engineering structures based on the high-speed three-dimensional Digital Image Correlation (HS 3D-DIC) and local modal filtration. The efficacy of the proposed procedure is demonstrated on a frame structure with different severities of localized damage. The full-field vibration data acquired under the white noise excitation provided the input to the damage identification algorithm. The spatial density of sensors on a test structure is one of the critical factors in the accurate localization of damage. Hence, the use of vision-based vibration measurement methods, such as the Digital Image Correlation (DIC) is very advantageous as it provides full-field quantification of dynamic displacement fields in three dimensions. Both numerical simulations with the use of Finite Element (FE) code and experimental tests with the use of high-speed digital cameras were performed to confirm the validity of the proposed approach. The research confirmed that it is feasible to use the proposed approach to detect and localize damage in a frame structure under random vibration excitation with a localization accuracy of a few percent of the field of view dimensions. On the basis of the obtained results, we believe that there is a great practical potential of this approach when applied to real-life engineering structures.
机译:本文介绍了一种基于高速三维数字图像相关(HS 3D-DIC)和局部模态过滤的工程结构中基于振动的损伤检测和定位技术。在具有不同局部损伤的框架结构上证明了所提出的程序的功效。在白噪声激励下获取的全场振动数据为损坏识别算法提供了输入。测试结构上传感器的空间密度是准确定位损坏的关键因素之一。因此,使用基于视觉的振动测量方法,例如数字图像相关性(DIC)是非常有利的,因为它提供了三维的动态位移场的全场定量。使用使用有限元(FE)代码和使用高速数码相机的使用有限元(FE)代码和实验测试的数值模拟,以确认所提出的方法的有效性。该研究证实,使用所提出的方法可以在随机振动激励下检测和定位框架结构损坏的方法是可行的,其定位精度为几个视野尺寸的百分之几。在获得的结果的基础上,我们认为在应用于现实生活工程结构时,这种方法存在很大的实际潜力。

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