This paper explains why high resolution design spaces encourage traditional airfoil optimization algorithms to generate noisy shape modifications, which lead to inaccurate linear predictions of aerodynamic coefficients and potential failure of descent methods. By using auxiliary drag constraints for a simultaneous drag reduction at all design points and the least shape distortion to achieve the targeted drag reduction, an improved algorithm generates relatively smooth optimal airfoils with no severe off-design performance degradation over a range of flight conditions, in high resolution design spaces parameterized by cubic B-spline functions. Simulation results using FUN2D in Euler flows are included to show the capability of the robust aerodynamic shape optimization method over a range of flight conditions.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Using High Resolution Design Spaces for Aerodynamic Shape Optimization Under Uncertainty


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

    Publication date :

    2004


    Size :

    32 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Uncertainty Propagation for Robust Aerodynamic Shape Optimization

    Papadimitriou, Dimitrios I. / Papadimitriou, Costas | AIAA | 2014



    Multi-fidelity Robust Aerodynamic Design Optimization Under Mixed Uncertainty

    SHAH, HARSHEEL R. / Hosder, Serhat / Leifsson, Leifur T. et al. | AIAA | 2015


    Optimal Aerodynamic Design under Uncertainty

    Schulz, Volker / Schillings, Claudia | Tema Archive | 2013


    Aerodynamic shape design and optimization

    DULIKRAVICH, GEORGE | AIAA | 1991