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Effect of stacking sequence and material properties on the damage detection of laminated composite plates using wavelet transform

Morteza Saadatmorad<p>Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Risorgimento Avenue 2,&nbsp;40136&nbsp;Bologna, Italy</p>Ramazan-Ali Jafari-Talookolaei<p>School of Mechanical Engineering, Babol Noshirvani University of Technology, Babol&nbsp;47148-71167, Iran</p>Hamidreza Ghandvar<p>Department of Mechanical Engineering, School of Engineering, New Uzbekistan University,&nbsp;Tashkent&nbsp;100007, Uzbekistan</p>Orifjon Mikhliev<p>FIE UzLITI Engineering LLC, Tashkent 100099, Uzbekistan</p>
Sound&Vibrationjournal2026
ABI

Аннотация

Damage detection of laminated composite structures is crucial because damage may significantly compromise their structural integrity and lead to catastrophic failures. Traditional non-destructive testing (NDT) methods often prove inadequate for detecting subtle damage, such as delamination or matrix cracking, which can initiate and propagate within the composite material. Therefore, advanced damage detection techniques are essential to ensure the safety and reliability of these structures in various engineering applications. The wavelet transform is a popular non-destructive testing method for processing structural signals in laminated composites. According to the literature review, the effect of changes in laminated composite parameters on damage detection by wavelet transform is an open question. This research aims to investigate the effect of changing the parameters of laminated composite plates on the accuracy of damage detection by two-dimensional discrete wavelet transform (2D-DWT). In this paper, damaged rectangular laminated composite plates (RLCPs) are modeled to introduce damage detection by 2D-DWT and evaluate the effect of changes in RLCPs parameters. The considered parameters are the number of layers, composite material, strengths, size, and thickness of laminate composite layups. Various scenarios are tested, and findings show that among these parameters, the most influential parameter on damage detection of RLCPs by the two-dimensional discrete wavelet transform is the changes in material properties of RLCPs.

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