A robust and efficient approach to the multiobjective constrained design, previously developed by the authors, is extended to optimization of three-dimensional aerodynamic wings. The objective is to minimize the total drag at fixed lift subject to various geometrical and aerodynamical constraints. The approach employs genetic algorithms (GAs) as an optimization tool in combination with a reduced-order-models (ROM) method, based on linked local databases obtained by full Navier-Stokes computations. The work focuses on the following issues: geometrical representation of three-dimensional shapes, handling of sensitive nonlinear constraints such as pitching moment, and the influence of flight conditions on the results of optimization. The method, implemented in the computer code OPTIMAS (Optimization of Aerodynamic Shapes), was applied to the problem of multipoint transonic three- dimensional wing optimization with nonlinear constraints. The results include a variety of optimization cases for two wings: a classical test case of ONERA M6 wing and a generic cranked transport-type wing. For the investigated class of problems, significant aerodynamic gains have been obtained.


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    Title :

    Constrained aerodynamic optimization of three-dimensional wings driven by Navier-Stokes computations


    Additional title:

    Optimierung dreidimensionaler Tragflächen mit einem genetischen Algorithmus auf Basis von Navier-Stokes-Simulationen


    Contributors:

    Published in:

    AIAA Journal ; 43 , 9 ; 1946-1957


    Publication date :

    2005


    Size :

    12 Seiten, 25 Bilder, 3 Tabellen, 16 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English