基于振动的数字图像相关立体相机隐蔽损伤成像

IF 5.7 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Shaohan Wang, Trenton Bryce Abbott, R. Fong, Cheryl Xu, F. Yuan
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引用次数: 0

摘要

研究了一种基于振动损伤检测方法的结构健康监测中,利用立体摄像机成像隐藏损伤的全视野非接触光学传感技术。当受到振动激励时,该技术利用一对数码相机通过数字图像相关(DIC)捕捉结构表面感兴趣区域(ROI)上的动态操作偏转形状(ODSs)。本研究克服了使用高振动模态成像隐藏损伤区域的瓶颈,通过(1)将DIC应用于运行模态分析,采用简单的挑峰技术收集板结构的固有频率和运行模态振型;(2)利用小波分析揭示损伤区域图像,作为无基线全局损伤量化的手段。在可行性研究中,用振动台产生高达1khz的扫频,研究了4种带有两块大损伤区域的铝板的情况。立体摄像机用白光拍下了有斑点的平板表面。一旦使用DIC观察到ROI中的动态ods,就可以使用频谱中的拾峰技术提取固有频率和相关的工作模态形状。有限元分析的固有频率和工作模态振型分别与三维DIC实验观测结果具有良好的相关性。利用小波变换模态振型曲率(WT-MSC)技术,对前12个振型分别进行二维连续小波变换和墨西哥帽分析小波,得到振型曲率。提出了一种包含所有加权小波系数的损伤图像条件,对损伤区域进行图像处理。WT-MSC可以清晰地显示隐藏的损伤,因为该技术对噪声的敏感性远低于单独使用MSC,并且使用具有较大模态形状曲率的高振动模态为损伤区域成像提供了更高的灵敏度。在所有4例中,隐性损伤区域均成功可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vibration-based hidden damage imaging using stereo cameras with digital image correlation
This paper explores a full-field non-contact optical sensing technique using a stereo camera for imaging hidden damage based on vibration-based damage detection methodology in structural health monitoring. The technique utilizes a pair of digital cameras to capture dynamic operational deflection shapes (ODSs) over the region of interest (ROI) of a structure’s surface via digital image correlation (DIC) when subjected to vibrational excitation. This research overcomes bottlenecks in using high vibration modes for imaging the hidden damage area by (1) applying DIC to operational modal analysis with simple pick-peaking techniques to gather natural frequencies and operational mode shapes in plate structures, while (2) using wavelet analysis to reveal the image of the damage region as a means for baseline-free global damage quantification. In the feasibility study, four cases with two aluminum plates with large damage regions were investigated with a vibration shaker generating a frequency sweep up to 1 kHz. The stereo camera imaged the speckled surface of the plate with white light. Once the dynamic ODSs in the ROI were observed using DIC, the natural frequencies and associated operational mode shapes were extracted using a peak-picking technique in the frequency spectrum. Natural frequencies and operational mode shapes from finite element analysis correlated well with the experimental observations from three-dimensional DIC for all 12 vibration modes respectively. A wavelet transform mode shape curvature (WT-MSC) technique to obtain the modal shape curvature via a two-dimensional continuous wavelet transform with a Mexican Hat analyzing wavelet was then implemented on each of the first 12 vibration mode shapes. A damage image condition that incorporates all weighted wavelet coefficients is proposed to image the damage region. The hidden damage was visualized clearly with WT-MSC, as the technique is much less sensitive to noise than the use of MSC alone, and the use of high vibration modes exhibiting larger mode shape curvatures provided a greater sensitivity for imaging the damage region. Hidden damage regions were successfully visualized in all four cases.
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来源期刊
CiteScore
12.80
自引率
12.10%
发文量
181
审稿时长
4.8 months
期刊介绍: Structural Health Monitoring is an international peer reviewed journal that publishes the highest quality original research that contain theoretical, analytical, and experimental investigations that advance the body of knowledge and its application in the discipline of structural health monitoring.
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