Shape optimization of a submarine for minimized noise emission has been the objective of this work. Boundary element method and finite element methods have been employed to determine the acoustic field around the object. A combined neural network and genetic algorithm scheme is developed to find the optimum external geometric ratios of the submarine for a minimized emitted acoustic energy in certain reference points. The obtained optimum geometric values stay in normal range for minimum hydrodynamic forces and show a close agreement with the trend of change for models coming to operation.


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    Titel :

    BEM/FEM simulation of acoustic field and shape optimization of submarine using neural network and genetic algorithm


    Beteiligte:
    Durali, M. (Autor:in) / Delnavaz, A. (Autor:in)


    Erscheinungsdatum :

    2004


    Format / Umfang :

    5 Seiten, 7 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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