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Crack Identification Using eXtended IsoGeometric Analysis and Particle Swarm Optimization

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Proceedings of the 7th International Conference on Fracture Fatigue and Wear (FFW 2018)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

The eXtended isogeometric analysis (X-IGA) combined with Particle swarm optimization (PSO) is used for crack identification in two-dimensional linear elastic problems based on inverse problem. The application of fracture mechanics test under mode II loading is performed. The X-IGA possesses the advantages of the combination between eXtended Finite Element Method (X-FEM) and the Isogeometric Analysis (IGA). The objective function minimizes the gap between the calculated and measured displacements. Convergence studies at various positions of crack on the plate are calculated and the results shows that the proposed technique can detect damage with minimum accuracy 95% for the position and maximum accuracy 98%.

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Authors and Affiliations

  1. Department of Electrical Energy, Metals, Mechanical Constructions and Systems, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium

    Samir Khatir & Magd Abdel Wahab

  2. Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Brahim Benaissa

  3. Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan

    Mario Köppen

Authors
  1. Samir Khatir
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  2. Magd Abdel Wahab
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  3. Brahim Benaissa
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  4. Mario Köppen
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Corresponding author

Correspondence to Magd Abdel Wahab .

Editor information

Editors and Affiliations

  1. Faculty of Engineering and Architecture, Ghent University , Ghent, Belgium

    Magd Abdel Wahab

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Khatir, S., Wahab, M.A., Benaissa, B., Köppen, M. (2019). Crack Identification Using eXtended IsoGeometric Analysis and Particle Swarm Optimization. In: Abdel Wahab, M. (eds) Proceedings of the 7th International Conference on Fracture Fatigue and Wear. FFW 2018. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0411-8_21

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  • DOI: https://doi.org/10.1007/978-981-13-0411-8_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0410-1

  • Online ISBN: 978-981-13-0411-8

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