Detection of Damage in Simply-Supported Plates by Discrete Wavelet Transform of Reconstructed Modal Data

Document Type : Research Article


1 Msc graduated in Civil Engineering, Jundi-Shapur University of Technology, Dezful, Iran

2 Shahid Beheshti University

3 Faculty of Civil Engineering, Jondi Shapur University of Technology, Dezful, Iran

4 faculty member of shahid beheshti university of tehran iran


Localized singularities caused by changes in the stiffness or mass of the damaged region cannot be simply visible through modal analysis results. However, the wavelet transform of input signal can identify the location of defects by sudden changes in the spatial variation of transformed response. The aim of this research is to present a new method for damage detection in a damaged plate. Therefore, a squarely steel plate with fixed support conditions is modeled, symmetrically. The proposed method in this study is capable to detect existing defects in plates with damage ratio of 3%. In this approach, based on symmetry or asymmetry of mode shapes, the value of each point of mode shape data is respectively subtracted from or added with its symmetric point. The results demonstrat that the small defects are detected with high resolution by employing reconstructed modal data in contrast to the original mode shape data. In addition, it has been shown that less-detailed measurement can still be used provided an interpolation is used to improve the accuracy of the crack detection and decrease financial cost of structural health monitoring projects.


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