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Crack growth optimization using eddy current testing and genetic algorithm for estimating the stress intensity factors

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Abstract

This study developed a procedure for rapidly reconstructing a crack profile for calculating the parameters of fracture mechanics such as stress intensity factor with energy release rate (J) and displacement opening crack tip using data from the eddy current sensor. The inverse problem focused on adopting genetic algorithms to solve the direct problem iteratively. The use of the differential probe allows a rapid and precise resolution of the direct problem. The incident field produced by the two coils is determined using the 3D finite element results and the variation of impedance in each coil due to the crack. For the inverse problem, the crack’s surface is considered regular shape in terms of dimensions, and the sensor’s impedance expresses the objective function in terms of the width and length of the crack. The evaluation of the shape function and mesh matrix is made dependent on the iterative process, which makes the reversal procedure computationally lightweight when using genetic algorithms.

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Funding

Funding was provided by Direction Générale de la Recherche Scientifique et du Développement Technologique (Grant No. 3234).

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Authors and Affiliations

  1. Department of Civil Engineering, Faculty of Science and Technology, Ziane Achour University, 170 00, Djelfa, Algeria

    Meftah Aouissi & Salaheddine Harzallah

  2. Department of Computer Science, Blekinge Institute of Technology, 371 79, Karlskrona, Sweden

    Abbas Cheddad

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  2. Salaheddine Harzallah
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Aouissi, M., Harzallah, S. & Cheddad, A. Crack growth optimization using eddy current testing and genetic algorithm for estimating the stress intensity factors. Acta Mech (2024). https://doi.org/10.1007/s00707-024-03903-4

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