Article (Scientific journals)
Bayesian identification of pyrolysis model parameters for thermal protection materials using an adaptive gradient-informed sampling algorithm with application to a Mars atmospheric entry
Coheur, Joffrey; Magin, Thierry; Chatelain, Philippe et al.
2023 • In International Journal for Uncertainty Quantification, 13 (2), p. 53-80
Peer Reviewed verified by ORBi
 

Files


Full Text
IJUQ-42928.pdf
Author postprint (2.38 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Modeling and Simulation; Statistics and Probability; Bayesian Inference; Ito Stochastic Differential Equation; Markov Chain Monte Carlo; Thermal Protection System; Carbon/Phenolic Composite
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Coheur, Joffrey  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational and stochastic modeling
Magin, Thierry;  von Karman Institute for Fluid Dynamics > Aeronautics and Aerospace
Chatelain, Philippe;  UCL - Catholic University of Louvain [BE] > Institute of Mechanics, Materials and Civil Engineering > Thermodynamics and fluid mechanics
Arnst, Maarten ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational and stochastic modeling
Language :
English
Title :
Bayesian identification of pyrolysis model parameters for thermal protection materials using an adaptive gradient-informed sampling algorithm with application to a Mars atmospheric entry
Publication date :
2023
Journal title :
International Journal for Uncertainty Quantification
ISSN :
2152-5080
eISSN :
2152-5099
Publisher :
Begell House
Volume :
13
Issue :
2
Pages :
53-80
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 08 February 2023

Statistics


Number of views
205 (9 by ULiège)
Number of downloads
393 (5 by ULiège)

Scopus citations®
 
4
Scopus citations®
without self-citations
4
OpenAlex citations
 
4

Bibliography


Similar publications



Contact ORBi