Sparse sensing detection of impact-induced delaminations in composite laminates

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• 作者：Paolo Gaudenzi^a ; Davide Nardi^a ; ^{davide.nardi@uniroma1.it" class="auth_mail" title="E-mail the corresponding author} ; Ilaria Chiappetta^a ; Sofiane Atek^a ; Luca Lampani^a ; Michele Pasquali^a ; Fabrizio Sarasini^b ; Jacopo Tirill&oacute ; ^b ; Teodoro Valente^b
• 关键词：Structural health monitoring ; Carbon-fiber-reinforced polymer ; Low velocity impacts ; Piezoelectric sensor patches ; Wavelet packet transform ; Linear Discriminant Analysis
• 刊名：Composite Structures
• 出版年：2015
• 出版时间：1 December 2015
• 年：2015
• 卷：133
• 期：Complete
• 页码：1209-1219
• 全文大小：2673 K

文摘

The detection of delaminations in composite structures due to impacts is a critical issue for any structural health monitoring (SHM) programme. In this work, an experimental campaign is carried out to investigate the presence of delamination induced in carbon-fibre-reinforced-plastic (CFRP) plates by low velocity impacts (LVI). A reduced number of piezoelectric devices for actuation and sensing purposes are employed. The proposed study starts with the choice of the proper positions of the piezoelectric sensor and actuator through the analysis of the numerical curvature mode shapes of the composite laminated plate. A wavelet packet transform (WPT)-based algorithm is applied on the vibrating response of the plates to extract wavelet-based damage sensitive features. Linear Discriminant Analysis (LDA) is then applied on the extracted damage sensitive features to enhance the performance of the proposed delamination identification procedure. Results show the effectiveness of the developed SHM routine when a reduced number of sensors is either desirable or mandatory.