Abstract This article gives an overview of reduced-order modeling work performed in the DLR project Digital-X. Parametric aerodynamic reduced-order models (ROMs) are used to predict surface pressure distributions based on high-fidelity computational fluid dynamics (CFD), but at lower evaluation time and storage than the original CFD model. ROMs for steady aerodynamic applications are built using proper orthogonal decomposition and Isomap, a manifold learning method. Approximate solutions in the so-obtained low-dimensional representations of the data are found with interpolation techniques, or by minimizing the corresponding steady flow-solver residual. The latter approach produces physics-based ROMs driven by the governing equations. The steady ROMs are used to predict the static aeroelastic loads in a multidisciplinary design and optimization context, where the structural model is to be sized for the (aerodynamic) loads. They are also used in a process where an a priori identification of the critical load cases is of interest and the sheer number of load cases to be considered does not lend itself to high-fidelity CFD. An approach to correct a linear loads analysis model using steady CFD solutions at various Mach numbers and angles of attack and a ROM of the corrected aerodynamic influence coefficients is also shown. This results in a complete loads analysis model preserving aerodynamic nonlinearities while allowing fast evaluation across all model parameters. The different ROM methods are applied to a 3D test case of a transonic wing-body transport aircraft configuration.


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    Title :

    Reduced-order models for aerodynamic applications, loads and MDO


    Contributors:
    Ripepi, M. (author) / Verveld, M. J. (author) / Karcher, N. W. (author) / Franz, T. (author) / Abu-Zurayk, M. (author) / Görtz, S. (author) / Kier, T. M. (author)

    Published in:

    CEAS Aeronautical Journal ; 9 , 1 ; 171-193


    Publication date :

    2018-02-10


    Size :

    23 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Reduced-order models for aerodynamic applications, loads and MDO

    Ripepi, M. / Verveld, M. J. / Karcher, N. W. et al. | Online Contents | 2018





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