Bayesian-based method with metamodels for rebuilding freestream conditions in atmospheric entry flows

Julie Tryoen (1) , Pietro Marco Congedo (1) , Thierry E. Magin (2)

1 BACCHUS - Parallel tools for Numerical Algorithms and Resolution of essentially Hyperbolic problems
2 Aeronautics and Aerospace Department [Rhode-St-Genèse]

The paper investigates a new methodology to rebuild freestream conditions for the trajectory of a reentry vehicle from measurements of stagnation-point pressure and heat flux. 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.

Mots clés: Uncertainty Quantification; stochastic inverse problems; bayesian inference methods; stochastic metamodels

Domaines: Analyse numérique [math.NA]; Mécanique [physics]; Sciences de l'ingénieur [physics]

Julie Tryoen, Pietro Marco Congedo, Thierry E. Magin. Bayesian-based method with metamodels for rebuilding freestream conditions in atmospheric entry flows. 2nd ECCOMAS Young Investigators Conference (YIC 2013), Sep 2013, Bordeaux, France. ⟨hal-00855898⟩