Issue 45

S. Harzallah et al, Frattura ed Integrità Strutturale, 45 (2018) 147-155; DOI: 10.3221/IGF-ESIS.45.12 147 Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks S. Harzallah, R. Rebhi, M.Chabaat University Built Environmental Research Lab., Civil Engineering Faculty, University of Sciences and Technology HouariBoumediene, B.P 32 El Alia Bab Ezzouar, Algiers 16111 Algeria. sharzallah@usthb.dz , r_rebhi @yahoo.fr , m.chabaat@yahoo.com A. Rabehi Laboratoire de Micro-électronique Appliquée, Université Djillali Liabès de Sidi Bel Abbés, BP 89, 22000 Sidi Bel Abbés, Algeria rab_ehi@hotmail.fr A BSTRACT . A new method for computing fracture mechanics parameters using computational Eddy Current Modelling by Multi-layer Perceptron Neural Networks for detecting surface cracks. The method is based upon an inverse problem using an Artificial Neural Network (ANN) that simulates mapping between Eddy current signals and crack profiles. Simultaneous use of ANN by MLP can be very helpful for the localization and the shape classification of defects. On the other side, it can be described as the task of reconstructing the cracks and damage in the plate profile of an inspected specimen in order to estimate its material properties. This is accomplished by inverting eddy current probe impedance measurements that are recorded as a function of probe position, excitation frequency or both. In eddy current nondestructive evaluation, this is widely recognized as a complex theoretical problem whose solution is likely to have a significant impact on the detection of cracks in materials K EYWORDS . 3D-FEM- EC; Artificial Neural Network; Inverse Problems; Cracks; Multi-layer Perceptron. Citation: . Harzallah, S., Rebhi, R., Chabaat, M., Rabehi, A., Eddy current modelling using multi- layer perceptron neural networks for detecting surface cracks, Frattura ed Integrità Strutturale, 45 (2018) 147-155. Received: 07.03.2018 Accepted: 17.06.2018 Published: 01.07.2018 Copyright: © 2018 This is an open access article under the terms of the CC-BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. I NTRODUCTION etection and characterization of a crack in a plate at its initial stage (before propagation), is a real industrial challenge and a major element in security especially in high-risk areas. It is on the basis of these characterizations that engineers have the means then to analyze such crack behavior and predicting its spread, therefore assess its harmfulness as well as the life of the inspected body [1,2]. D