A multi-fidelity simulation approach for the generation of aerodynamic data sets by computational fluid dynamics methods is discussed. Using Kriging-based surrogate modelling methods, data obtained a priori from a computationally less expensive low-fidelity model are combined with a fewer number of high-fidelity simulation data. An adaptive sampling method is used to iteratively select the high-fidelity data points in the parameter space and update the surrogate model. A description of the multi-fidelity simulation scheme is given and initial evaluations of the method for generating aerodynamic data on an aircraft configuration test case are discussed.


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    Title :

    Implementation of an Automatic Multi-fidelity Scheme for Industrial Applications in the Cassidian SimServer Environment


    Additional title:

    Notes Numerical Fluid Mech.


    Contributors:


    Publication date :

    2013-01-01


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Cassidian

    Online Contents | 2012


    Implementation of an Automatic Multi-fidelity Scheme for Industrial Applications in the Cassidian SimServer Environment

    Sermeus, K. / Nardin, L. / Sorensen, K.A. | British Library Conference Proceedings | 2013