This study considers multi-objective optimal design of the fiber reinforced symmetric-balanced laminated composites using genetic algorithms. MATLAB Genetic Algorithm and Direct Search Toolbox is used to obtain Pareto-optimal design for three different model problems. The objectives of the problems are to maximize the Young's moduli and minimize the coefficient of thermal expansion (CTE) simultaneously for 8 and 16 layered carbon/epoxy composites. Simplified micromechanics equations and classical lamination theory are used in order to obtain the fitness functions of the problems. Stress and strain distributions are presented through the thickness of the laminates for the optimized problems under mechanical and thermal loadings.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multiobjective genetic algorithm optimization of the composite laminates as a satellite structure material for coefficient of thermal expansion and elastic modulus


    Beteiligte:
    Aydin, L. (Autor:in) / Artem, H.S. (Autor:in)


    Erscheinungsdatum :

    2009


    Format / Umfang :

    6 Seiten, 12 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    TAILORED COEFFICIENT OF THERMAL EXPANSION OF COMPOSITE LAMINATES USING FIBER STEERING

    ADRIANA WILLEMPJE BLOM | Europäisches Patentamt | 2016

    Freier Zugriff

    A new genetic algorithm for multiobjective optimization

    Belegundu, A. / Murthy, P. | AIAA | 1996


    A New Genetic Algorithm for Multiobjective Optimization

    Belegundu, A. / Murthy, P. / American Institute of Aeronautics and Astronautics et al. | British Library Conference Proceedings | 1996