Characterization and prediction of the backscattered form function of an immersed cylindrical shell using hybrid fuzzy clustering and bio-inspired algorithms.

Journal: Ultrasonics
Published Date: Jun 20, 2017

Abstract

The acoustic scattering of a plane wave by an elastic cylindrical shell is studied. A new approach is developed to predict the form function of an immersed cylindrical shell of the radius ratio b/a ('b' is the inner radius and 'a' is the outer radius). The prediction of the backscattered form function is investigated by a combined approach between fuzzy clustering algorithms and bio-inspired algorithms. Four famous fuzzy clustering algorithms: the fuzzy c-means (FCM), the Gustafson-Kessel algorithm (GK), the fuzzy c-regression model (FCRM) and the Gath-Geva algorithm (GG) are combined with particle swarm optimization and genetic algorithm. The symmetric and antisymmetric circumferential waves A, S, A, S and S are investigated in a reduced frequency (ka) range extends over 0.1

Authors

  • Said Agounad
    Laboratory of Metrology and Information Processing, Department of Physics, Ibn Zohr University, B.P. 8106, 80000 Agadir, Morocco. Electronic address: said.agounad@edu.uiz.ac.ma.
  • El Houcein Aassif
    Laboratory of Metrology and Information Processing, Department of Physics, Ibn Zohr University, B.P. 8106, 80000 Agadir, Morocco.
  • Younes Khandouch
    Laboratory of Metrology and Information Processing, Department of Physics, Ibn Zohr University, B.P. 8106, 80000 Agadir, Morocco.
  • Gérard Maze
    Laboratoire d'ondes et milieux complexes, UMR CNRS 6294, Université du Havre 75, rue Bellot, 76600 Le Havre, France.
  • Dominique Décultot
    Laboratoire d'ondes et milieux complexes, UMR CNRS 6294, Université du Havre 75, rue Bellot, 76600 Le Havre, France.

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