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Materials 2017, 10(2), 125; doi:10.3390/ma10020125

Optimal Electrode Selection for Electrical Resistance Tomography in Carbon Fiber Reinforced Polymer Composites

1
Computational Science Research Center, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182, USA
2
Department of Aerospace Engineering, San Diego State University, 5500 Campanile Dr, San Diego, CA 92182, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Victor Giurgiutiu and Shenfang Yuan
Received: 13 December 2016 / Revised: 19 January 2017 / Accepted: 24 January 2017 / Published: 4 February 2017
(This article belongs to the Special Issue Structural Health Monitoring for Aerospace Applications 2017)
View Full-Text   |   Download PDF [3610 KB, uploaded 4 February 2017]   |  

Abstract

Electrical Resistance Tomography (ERT) offers a non-destructive evaluation (NDE) technique that takes advantage of the inherent electrical properties in carbon fiber reinforced polymer (CFRP) composites for internal damage characterization. This paper investigates a method of optimum selection of sensing configurations for delamination detection in thick cross-ply laminates using ERT. Reduction in the number of sensing locations and measurements is necessary to minimize hardware and computational effort. The present work explores the use of an effective independence (EI) measure originally proposed for sensor location optimization in experimental vibration modal analysis. The EI measure is used for selecting the minimum set of resistance measurements among all possible combinations resulting from selecting sensing electrode pairs. Singular Value Decomposition (SVD) is applied to obtain a spectral representation of the resistance measurements in the laminate for subsequent EI based reduction to take place. The electrical potential field in a CFRP laminate is calculated using finite element analysis (FEA) applied on models for two different laminate layouts considering a set of specified delamination sizes and locations with two different sensing arrangements. The effectiveness of the EI measure in eliminating redundant electrode pairs is demonstrated by performing inverse identification of damage using the full set and the reduced set of resistance measurements. This investigation shows that the EI measure is effective for optimally selecting the electrode pairs needed for resistance measurements in ERT based damage detection. View Full-Text
Keywords: effective independence; delamination; CFRP composites; sensor optimization; electrical resistance tomography effective independence; delamination; CFRP composites; sensor optimization; electrical resistance tomography
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Escalona Galvis, L.W.; Diaz-Montiel, P.; Venkataraman, S. Optimal Electrode Selection for Electrical Resistance Tomography in Carbon Fiber Reinforced Polymer Composites. Materials 2017, 10, 125.

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