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Employing principal component analysis for assessment of damage in GFRP composites using electromechanical impedance

机译:采用主成分分析来评估GFRP复合材料损坏的使用机电阻抗

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In the presented research authors investigated the electromechanical impedance (EMI) technique in the context of damage detection. The EMI method has been studied for considerable amount of time for detecting damage in metallic, composite, concrete, and other parts. Here, the focus is put on the GFRP (glass fibre reinforced polymer) composites. Both a beam and plate was investigated. The samples were prepared with simulated damage. Impact damage was introduced as well as delamination. Authors have developed a data processing tool based on principal component analysis (PCA). The PCA output served as a damage index. It allowed for sensor network data handling, differentiating the damage cases, and damage detection with missing some of the data. The obtained results are promising and show advantages over traditional EMI damage index ? the RMSD. The proposed solution can be employed when only one sensor is used as well as when a sensor network is used. Both cases were reported in this work.
机译:在本研究作者中,在损伤检测的背景下调查了机电阻抗(EMI)技术。已经研究了EMI方法,用于检测金属,复合材料,混凝土和其他部件损坏的相当长的时间。这里,将重点放在GFRP(玻璃纤维增​​强聚合物)复合材料上。梁和板都被研究。用模拟损伤制备样品。引入了影响损坏以及分层。作者开发了一种基于主成分分析(PCA)的数据处理工具。 PCA输出用作损坏索引。它允许传感器网络数据处理,区分损坏的情况,以及缺少一些数据的损坏检测。获得的结果是有前途的,并表现出传统的EMI损伤指数的优势? RMSD。当使用一个传感器以及使用传感器网络时,可以采用所提出的解决方案。这两种情况都报告了这项工作。

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