Multi-objective genetic algorithms (MOGAs) have been applied to optimize an inverse design of a transonic wing shape. First, the wing planform is optimized by solving a multidisciplinary optimization problem based on aerodynamic, structural, and fuel storing objectives and constraints. Second, three-dimensional target pressure distribution is optimized for the aerodynamic inverse design with the previously designed planform. Minimization of the profile drag and the induced drag is performed under constraints on lift and other design principles. Applying these two preprocessing procedures by using MOGAs, Pareto surfaces can be studied for tradeoffs among multiple objectives. Thus, a designer is able to choose a good compromise for wing planform and target pressures for the inverse design. Corresponding for wing surface geometry is obtained by Takanashi's inverse method, and a sample design result is given.


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    Title :

    Inverse design optimization of transonic wings based on multi-objective genetic algorithms


    Additional title:

    Inverse Optimierung transsonischer Tragflächen mit einem genetischen Algorithmus mit mehreren Zielfunktionen


    Contributors:

    Published in:

    AIAA Journal ; 37 , 12 ; 1656-1662


    Publication date :

    1999


    Size :

    7 Seiten, 10 Bilder, 21 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Inverse Design Optimization of Transonic Wings Based on Multi-Objective Genetic Algorithms

    Shinichi Takahashi / Shigeru Obayashi / Kazuhiro Nakahashi | AIAA | 1999



    Multipoint Inverse Design Method for Transonic Wings

    Hyoung-Jin Kim / Chongam Kim / Oh-Hyun Rho | AIAA | 1999


    Inverse Design of Transonic Wings Using Wing Planform and Target Pressure Optimization

    Taisul Ahn / Hyoung-Jin Kim / Chongam Kim et al. | AIAA | 2001


    An inverse method for the design of transonic wings

    SILVA, D. / SANKAR, L. | AIAA | 1992