Model discrepancy in coupled, time-dependent analyses is addressed with emphasis on aerothermoelastic response prediction for hypersonic aircraft. Time-dependent temperature data from historic hypersonic wind-tunnel experiments are used to calibrate both aerodynamic heating and heat transfer model errors and improve prediction confidence of coupled aerothermal predictions through time. Three different model discrepancy resolutions are considered (global, stepwise, and partitioned) for model error calibration, and appropriate model discrepancy forms in the presence of evolving coupled physics are also discussed. The three model discrepancy resolutions are compared using the model reliability metric, where the partitioned model discrepancy approach is observed to yield higher prediction confidence in both nonlinear and extrapolation regions.


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    Titel :

    Quantifying Model Discrepancy in Time-Dependent, Coupled Analyses


    Beteiligte:

    Erschienen in:

    AIAA Journal ; 56 , 6 ; 2403-2411


    Erscheinungsdatum :

    2018-03-13


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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