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Numerical Analysis of Crack Orientation Detection Using Eddy Current Testing and Particle Swarm Optimization


Affiliations
1 Civil Engineering and Sustainable Development Laboratory ,Faculty of Sciences and Technology ,Ziane Achour University of Djelfa,,, Algeria
2 Blekinge Institute of Technology SE-371 79;Department of Computer Science,Karlskrona,, Sweden
 

The crack orientation has a crucial role in the fracture parameters estimation. For this reason, we proposed an inverse approach to detect the orientation of crack within an axisymmetric model based on the particle swarm optimization algorithm. The numerical study of this approach was derived from a finite element model of eddy current testing. The obtained results prove that this algorithm can be a good alternative to the direct method to predict the crack orientation when it is challenging to find crack orientation by eddy current testing.

Keywords

Particle swarm optimization, Crack orientation, Crack detection, Eddy current testing, Inverse problem, Finite element method.
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  • . Mirjalili, S. and Lewis, A., 2016, The Whale Optimization Algorithm, Advances in Engineering Software, Elsevier, 51-67.

  • . Holland, J. H., 1992, Genetic algorithms, Scientific American, 66–72.

  • . Rechenberg, I., 1978, Evolutions strategien, Springer Berlin Heidelberg, Springer, 83–114.

  • . Simon, D., 2008, Biogeography-based optimization, IEEE Transactions on Evolutionary Computation. 702–13.

  • . Kirkpatrick, S. and Gelatt, C. D. and Vecchi, M. P., 1983, Optimization by simulated annealing , Science, 671–680

  • . Formato, R. A., 2007, Central force optimization: A new metaheuristic with Applications in applied electromagnetic Progress In Electromagnetics Research, 425– 491.

  • . Webster, B. and Bernhard, P. J., 2003, A local search optimization algorithm based on natural principles of gravitation, In Proceedings of the 2003 international conference on information and knowledge engineering.

  • . Shah-Hosseini, H., 2011, Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation, International Journal of Computational Science and Engineering, 132–40.

  • . Dorigo, M. and Birattari, M. and Stutzle, T., 2006, Ant colony optimization, IEEE Comput Intell, 28–39.

  • .Heidari, A. A. and Mirjalili, S. and Faris, H. and Aljarah, I. and Mafarja, M. and Chen, H., 2019, Harris hawks optimization: Algorithm and applications, Future Generation Computer Systems,1-23.

  • . Li, Y. and Lin, X. and Liu, J., 2021,An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems, sustainability, MDPI, 3208.

  • . Kennedy, J. and Eberhart, R., 1995, Particle swarm optimization, In Proceedings of the 1995 IEEE international conference on neural networks.

  • . S.Harzallah,M.Chabaat« 3D Eddy current modeling for evaluating the Fracture parameters by new method based on the variation of the imp edance », International Journal of Applied Electromagnetics and Mechanics, Vol. 53, no.2, pp. 371-385, 2017

  • . S.Harzallah, M. Chabaat « Formulation for Stress Intensity Factors and J-Integral Calculation by Eddy Current Testing », Key Engineering Materials (Volume 660) 361-365.2015.

  • . Guesmi, Mohamed, Harzallah, Salaheddine, and Kouzou, Abdellah. „New Non-destructive Testing Approach Based on Eddy Current for Crack Orientation Detection and Parameter Estimation‟. 1 Jan. 2021 : 431 – 451,International Journal of Applied Electromagnetics and Mechanics, vol. 67, no. 4, pp. 431-451, 202,DOI: 10.3233/JAE210049

  • . Salaheddine Harzallah, R. Rebhi, M. Chabaat, A. Rabehi «Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks» Frattura ed Integrità Strutturale, 45 (2018) 147-155; DOI: 10.3221/IGF-ESIS.45.12.

  • . Salaheddine Harzallah and Mohamed Chabaat « Numerical study of eddy current by Finite Element Method for cracks detection in structures », Fratturaed Integrità Strutturale, 39 (2017) 282-290; DOI: 10.3221/IGF-ESIS.39.26

  • Harzallah, S. Chabaat, M."3D-FEM computation and experimental study of eddy currents for characterization of surface cracks", International Journal of Structural Integrity, Vol. 8 No. 5, pp. 603- 610.2017.

  • Jaballah, M.S., Harzallah, S. & Nail, B. Vibration Control and Seismic Damages Reduction for Structural Buildings Based on Optimal FractionalOrder Controller and a Graphical User Interface Development. J. Vib. Eng. Technol. (2022).


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  • Numerical Analysis of Crack Orientation Detection Using Eddy Current Testing and Particle Swarm Optimization

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Authors

Amor M
Civil Engineering and Sustainable Development Laboratory ,Faculty of Sciences and Technology ,Ziane Achour University of Djelfa,,, Algeria
Harzallah S
Civil Engineering and Sustainable Development Laboratory ,Faculty of Sciences and Technology ,Ziane Achour University of Djelfa,,, Algeria
benchiekh B
Civil Engineering and Sustainable Development Laboratory ,Faculty of Sciences and Technology ,Ziane Achour University of Djelfa,,, Algeria
Abbase Chedaad
Blekinge Institute of Technology SE-371 79;Department of Computer Science,Karlskrona,, Sweden

Abstract


The crack orientation has a crucial role in the fracture parameters estimation. For this reason, we proposed an inverse approach to detect the orientation of crack within an axisymmetric model based on the particle swarm optimization algorithm. The numerical study of this approach was derived from a finite element model of eddy current testing. The obtained results prove that this algorithm can be a good alternative to the direct method to predict the crack orientation when it is challenging to find crack orientation by eddy current testing.

Keywords


Particle swarm optimization, Crack orientation, Crack detection, Eddy current testing, Inverse problem, Finite element method.

References