Multidisciplinary design, analysis, and optimization using a genetic algorithm is being developed at the National Aeronautics and Space A dministration Dryden Flight Research Center to automate analysis and design process by leveraging existing tools such as NASTRAN, ZAERO a nd CFD codes to enable true multidisciplinary optimization in the pr eliminary design stage of subsonic, transonic, supersonic, and hypers onic aircraft. This is a promising technology, but faces many challe nges in large-scale, real-world application. This paper describes cur rent approaches, recent results, and challenges for MDAO as demonstr ated by our experience with the Ikhana fire pod design.


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    Title :

    Multidisciplinary Design, Analysis, and Optimization Tool Development using a Genetic Algorithm


    Contributors:
    Pak, Chan-gi (author) / Li, Wesley (author)

    Conference:

    26th ICAS Congress Conference ; 2008 ; Anchorage, Alaska, United States


    Publication date :

    2008-09-14


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English







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