The paper investigates a new methodology to rebuild freestream conditions for the trajectory of a reentry vehicle from stagnation-point measurements. Uncertainties due to measurements and model parameters are taken into account, and a Bayesian setting supplied with metamodels is used to solve the associated stochastic inverse problem. A sensitivity analysis based on a stochastic spectral framework is first investigated to study the impact of uncertain input data on stagnation-point measurements. An original backward uncertainty propagation method is then proposed, for which only the uncertainties that have the most impact are retained.


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    Title :

    Bayesian-Based Method with Metamodels for Rebuilding Freestream Conditions in Atmospheric Entry Flows


    Contributors:
    Tryoen, J. (author) / Congedo, P. M. (author) / Abgrall, R. (author) / Villedieu, N. (author) / Magin, T. E. (author)

    Published in:

    AIAA Journal ; 52 , 10 ; 2190-2197


    Publication date :

    2014-04-21


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English