This work proposes a multifidelity modeling approach for predicting aeroelastic flutter of airfoils and wings. Using aerodynamic models based on the doublet-lattice method and time-accurate Euler equations, cokriging-based surrogates of the generalized aerodynamic influence coefficients are generated as functions of Mach number and reduced frequency. The surrogate-based matrix terms are then used in the p - k method to determine flow conditions at flutter onset. To demonstrate the multifidelity process, a widely used pitching and plunging airfoil case is considered. Verification of the approach is done by comparing with results from a mode-based time-domain aeroelastic solver, as well as data from the literature. The approach draws inspiration from Timme et al., but focuses more on widely used industry tools (namely, the p - k method, panel-based aerodynamics, and time-domain computational fluid dynamics). The benefit of using multiple aerodynamic fidelities, rather than high-fidelity kriging models, is also quantified by examining a flutter speed error metric as the number of high-fidelity samples is varied.


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    Title :

    Aeroelastic Flutter Prediction Using Multifidelity Modeling of the Generalized Aerodynamic Influence Coefficients


    Contributors:

    Published in:

    AIAA Journal ; 58 , 11 ; 4764-4780


    Publication date :

    2020-09-21


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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