A surrogate-based optimal likelihood function for the Bayesian calibration of catalytic recombination in atmospheric entry protection materials

Autor: del Val, Anabel, Maître, Olivier P. Le, Chazot, Olivier, Magin, Thierry E., Congedo, Pietro M.

This work deals with the inference of catalytic recombination parameters from plasma wind tunnel experiments for reusable thermal protection materials. One of the critical factors affecting the performance of such materials is the contribution to the

Externí odkaz: http://arxiv.org/abs/2010.04649

Experimental methodology for the accurate stochastic calibration of catalytic recombination affecting reusable spacecraft TPS

Autor: del Val, Anabel, Luís, Diana, Chazot, Olivier

Publikováno v: In Chemical Physics 1 July 2022 559

Stochastic determination of thermal reaction rate coefficients for air plasmas.

Autor: del Val, Anabel, Chazot, Olivier

Publikováno v: Journal of Chemical Physics; 8/14/2023, Vol. 159 Issue 6, p1-20, 20p

Experimental methodology for the accurate stochastic calibration of catalytic recombination affecting reusable spacecraft thermal protection systems

Autor: del Val, Anabel, Luís, Diana, Chazot, Olivier

This work focuses on the development of a dedicated experimental methodology that allows for a better stochastic characterization of catalytic recombination parameters for reusable ceramic matrix composite materials when dealing with uncertain measur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b40ec8d8d7c69d11beee7198f7cdc57b
https://hal.inria.fr/hal-03504760

Calibration Bayésienne et évaluation de modèles et expériences d’interaction gaz-surface pour les plasmas d'entrée atmosphérique

Autor: del Val, Anabel

Publikováno v: Reactive fluid environment. Institut polytechnique de Paris; Ecole Polytechnique (Palaiseau, France); Centre de Mathématiques Appliquées, École Polytechnique, France, 2021. English. ⟨NNT : 2021IPPAX081⟩

The investigation of gas-surface interaction phenomena for atmospheric entry vehicles relies on the development of predictive theoretical models and the capabilities of current experimental facilities. However, due to the complexity of the physics an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2cc4ad7602cacaa6fff529035ae295dd
https://hal.inria.fr/tel-03504757