A combined approach of linear convolution and higher-order Volterra series (VS) to reduced-order modeling of unsteady transonic aerodynamic loads is presented. Our framework offers a simple method to determine the memory depth of the system, clearly separates the linear and the nonlinear (NL) contributions, and significantly reduces the effort required to generate a model for a wide range of reduced frequencies. The generated models use step-response data in the linear and the NL ranges, thus separating the model generation from any specific input signal or a particular reduced frequency. The models were compared against and validated using the computational fluid dynamics results of an oscillating two-dimensional NACA 0012 airfoil.


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    Titel :

    Convolution and Volterra Series Approach to Reduced-Order Modeling of Unsteady Aerodynamic Loads


    Beteiligte:
    Levin, Dani (Autor:in) / Bastos, Kai Kruger (Autor:in) / Dowell, Earl H. (Autor:in)

    Erschienen in:

    AIAA Journal ; 60 , 3 ; 1663-1678


    Erscheinungsdatum :

    2021-09-23


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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