The Multidisciplinary Optimization (MDO) Branch at NASA Langley Research Center develops new methods and investigates opportunities for applying optimization to aerospace vehicle design. This paper describes MDO Branch experiences with three applications of optimization under uncertainty: (1) improved impact dynamics for airframes, (2) transonic airfoil optimization for low drag, and (3) coupled aerodynamic/structures optimization of a 3-D wing. For each case, a brief overview of the problem and references to previous publications are provided. The three cases are aerospace examples of the challenges and opportunities presented by optimization under uncertainty. The present paper will illustrate a variety of needs for this technology, summarize promising methods, and uncover fruitful areas for new research.


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    Title :

    Aerospace Applications of Optimization under Uncertainty


    Contributors:
    S. Padula (author) / C. Gumbert (author) / W. Li (author)

    Publication date :

    2006


    Size :

    13 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Aerospace Applications of Optimization under Uncertainty

    S. Padula / C. Gumbert / W. Li | NTIS | 2003


    Aerospace Applications of Optimization under Uncertainty

    Padula, Sharon / Gumbert, Clyde / Li, Wu | NTRS | 2003


    Aerospace Applications of Optimization under Uncertainty

    Padula, Sharon / Gumbert, Clyde / Li, Wu | NTRS | 2006