An integrated algorithm for structural health monitoring of composite plate using electromechanical impedance | ||
| Journal of Engineering Science and Military Technologies | ||
| Article 3, Volume 4, Issue 1, March 2020, Pages 127-141 PDF (3.19 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejmtc.2020.34581.1147 | ||
| Authors | ||
| Mostafa Seleem Amin Abdelzaher* 1; Mohamed A. M. Salem2 | ||
| 1Civil Eng. Dept., Military Technical College, Cairo, Egypt | ||
| 2Department of Civil Engineering, Egyptian Armed Forces, Military Technical College | ||
| Abstract | ||
| extra-ordinary development of structural materials, such as composite materials, and structural configurations necessitated establishing robust and continuous structural health monitoring (SHM) systems. The aim of the present work is to establish an integrated SHM algorithm to remotely detect damage starting from the insipient level for structures made of composite materials. It depends on the electromechanical impedance (EMI) technique using Piezoelectric Waver Active Sensor (PWAS). The algorithm procedure includes several subroutines developed to ensure the identification of real damage and relatively define its location and severity precisely. The performance and the reliability of the proposed algorithm are verified through numerical simulations carried out through finite element modeling of the monitored structure using ANSYS software, since it is available to do multi-physics modeling to simulate coupling characteristics of piezoelectricity. MATLAB codes are developed to prepare and process the obtained numerical data in order to implement the algorithm subroutines. Several numerical simulation studies are carried out to verify the proposed algorithm procedure and measure its performance. Carbon woven fiber composite plates equipped with a matrix of PWASs are assigned as test articles. Numerically, the algorithm was shown to be beneficial to detect two different-location of insipient damages and two different-location of insipient and moderate damages, as well as to locate these damages with accuracy more than 80%. Reliability of data obtained from physical operating system was guaranteed using sensors diagnostic check in advance to SHM process. | ||
| Keywords | ||
| Composite plates; electromechanical impedance; depolarization; finite element modeling; piezoelectric waver active sensor; self-diagnose; single Interrogation; structural health monitoring | ||
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