In this paper, a novel damage identification approach based on differences in modal rotation fields obtained from shearographic measurements of structures and post-processed with the 2D continuous wavelet transform-based algorithm is presented. It is shown that the baseline approach, which assumes analysis of differences in modal rotation fields, allows to improve the sensitivity of a method to damage, making it possible to identify smaller damage with respect to the baseline-free approach. Moreover, a new approach for the reduction of the boundary effect is presented, which allows for the improvement visualization of the resulting maps using the proposed damage identification method. The proposed method was tested with eight damage scenarios, which allowed to prove repeatability of the obtained results, as well as to define a detectability threshold which is on the level of 3.5% of the thickness reduction.

本文提出了一种新的损伤识别方法，该方法基于从结构的剪切测量获得的模态旋转场中的差异，并使用基于二维连续小波变换的算法进行后处理。结果表明，基线方法假设分析了模态旋转场中的差异，可以提高方法对损伤的敏感性，从而有可能确定出相对于无基线方法而言较小的损伤。此外，提出了一种减少边界效应的新方法，该方法允许使用提出的损伤识别方法来改进结果图的可视化效果。所提出的方法在8种损坏情况下进行了测试，这可以证明所获得结果的可重复性，