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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2009-06-01


    Size :

    1264268 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    TAILORED COEFFICIENT OF THERMAL EXPANSION OF COMPOSITE LAMINATES USING FIBER STEERING

    ADRIANA WILLEMPJE BLOM | European Patent Office | 2016

    Free access

    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