Sparse sensing detection of impact-induced delaminations in composite laminates
Sparse sensing detection of impact-induced delaminations in composite laminates
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DOI：
10.1016/j.compstruct.2015.08.052
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发表时间：
2015-12
影响因子：
6.3
通讯作者：
P. Gaudenzi;D. Nardi;Ilaria Chiappetta;S. Atek;L. Lampani;M. Pasquali;F. Sarasini;J. Tirillò;T. Valente
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文献类型：
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作者：
P. Gaudenzi;D. Nardi;Ilaria Chiappetta;S. Atek;L. Lampani;M. Pasquali;F. Sarasini;J. Tirillò;T. Valente
复合材料结构在冲击作用下脱层的检测是任何结构健康监测(SHM)计划的关键问题。在这项工作中，开展了一项实验活动，以研究碳纤维增强塑料(CFRP)板在低速冲击(LVI)下是否存在分层。用于驱动和传感目的的压电式装置的数量减少。通过分析复合材料层合板的数值曲率振型，选择合适的压电式传感器和执行器的位置。将基于小波包变换(WPT)的算法应用于板的振动响应，提取基于小波的损伤敏感特征。然后对提取的损伤敏感特征进行线性判别分析(LDA)，以提高所提出的分层识别方法的性能。结果表明，当需要或强制减少传感器数量时，所开发的SHM例程的有效性。
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.