Recently composite rotorblades have replaced metal ones because they are light, have a long fatigue life, and high impact tolerance. Besides, fiber-reinforced plastics (FRP) support aeroelastic tailoring. Its anisotropic properties and bend-twist coupling effect greatly influence the deformation of the rotor blades. Accordingly, careful selection of the material and ply angles is very important. The design of composite laminates has often been formulated as a continuous optimization problem, in which the ply thickness and the ply orientation angles are design variables. However, in many practical problems, ply thicknesses are fixed and ply angles are limited to a small set of angles, such as 0, 90, and 45. Designing the laminate then becomes a stacking sequence optimization problem, which can be formulated as an integer programming problem. The aim of the optimization is to find an optimal stacking sequence that minimizes twist deformation. An optimum rotor blade is obtained using the ply angles as variables; failure, natural frequency, and minimum moment of inertia are used to constrain the optimization. The genetic algorithm with local search is employed as an optimization tool. A simplified local search is implemented in the final stage of optimization to reduce the searching time.


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    Titel :

    Optimization of a composite rotor blade using a genetic algorithm with local search


    Weitere Titelangaben:

    Optimierung eines Rotorblatts aus Verbundwerkstoff unter Verwendung eines genetischen Algorithmus mit lokaler Durchsuchung


    Beteiligte:
    Lee, Ya-Jung (Autor:in) / Lin, Ching-Chieh (Autor:in) / Ji, Jin-Chih (Autor:in) / Chen, Jong-Sheng (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2005


    Format / Umfang :

    11 Seiten, 8 Bilder, 7 Tabellen, 16 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch