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

J. Tryoen; P. M. Congedo; R. Abgrall; N. Villedieu; T. E. Magin

doi:10.2514/1.J052831

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

J. Tryoen
, P. M. Congedo
, R. Abgrall
, N. Villedieu
, T. E. Magin

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	2190-2197
Number of pages	8
Journal	AIAA Journal
Volume	52
Issue number	10
DOIs	https://doi.org/10.2514/1.J052831
Publication status	Published - 1 Oct 2014

Access to Document

10.2514/1.J052831

Cite this

@article{169b967c034a476b93c87a2ce46729ae,

title = "Bayesian-based method with metamodels for rebuilding freestream conditions in atmospheric entry flows",

abstract = "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.",

author = "J. Tryoen and Congedo, \{P. M.\} and R. Abgrall and N. Villedieu and Magin, \{T. E.\}",

note = "Publisher Copyright: {\textcopyright} 2014 by the American Institute of Aeronautics and Astronautics, Inc.",

year = "2014",

month = oct,

day = "1",

doi = "10.2514/1.J052831",

language = "English",

volume = "52",

pages = "2190--2197",

journal = "AIAA Journal",

issn = "0001-1452",

number = "10",

}

TY - JOUR

T1 - Bayesian-based method with metamodels for rebuilding freestream conditions in atmospheric entry flows

AU - Tryoen, J.

AU - Congedo, P. M.

AU - Abgrall, R.

AU - Villedieu, N.

AU - Magin, T. E.

PY - 2014/10/1

Y1 - 2014/10/1

N2 - 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.

AB - 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.

U2 - 10.2514/1.J052831

DO - 10.2514/1.J052831

M3 - Article

AN - SCOPUS:84907432707

SN - 0001-1452

VL - 52

SP - 2190

EP - 2197

JO - AIAA Journal

JF - AIAA Journal

IS - 10

ER -

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

Abstract

Access to Document

Fingerprint

Cite this