Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Olivier P. Le Maître"'
1
Stochastic calibration of a carbon nitridation model from plasma wind tunnel experiments using a Bayesian formulation
Autor: Anabel del Val, Olivier P. Le Maître, Pietro M. Congedo, Thierry E. Magin
Publikováno v: Carbon
Carbon, 2022, 200, ⟨10.1016/j.carbon.2022.07.069⟩
International audience; In this work, we calibrate a carbon nitridation model for a broad span of surface temperatures from existing plasma wind tunnel measurements by accounting for experimental and parametric uncertainties. A chemical non-equilibri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::103b78d934ed7af724c21854e400ccdc
https://hal.inria.fr/hal-03790438/file/Nitridation_1-2.pdf
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2
A second-order accurate numerical scheme for a time-fractional Fokker–Planck equation
Autor: Kassem Mustapha, Omar M Knio, Olivier P Le Maître
Publikováno v: IMA Journal of Numerical Analysis
IMA Journal of Numerical Analysis, 2022, ⟨10.1093/imanum/drac031⟩
A second-order accurate time-stepping scheme for solving a time-fractional Fokker–Planck equation of order $\alpha \in (0, 1)$, with a general driving force, is investigated. A stability bound for the semidiscrete solution is obtained for $\alpha \
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::798eca4bb229f6ee58880317a213e1db
https://doi.org/10.1093/imanum/drac031
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4
Inference methods for gas/surface interaction models: from deterministic approaches to Bayesian techniques
Autor: Anabel del Val, Olivier P. Le Maître, Olivier Chazot, Pietro M. Congedo, Thierry E. Magin
Publikováno v: International Conference on Uncertainty Quantification & Optimisation
UQOP 2020-International Conference on Uncertainty Quantification & Optimisation
UQOP 2020-International Conference on Uncertainty Quantification & Optimisation, UTOPIAE, Nov 2020, Brussels, Belgium
Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications ISBN: 9783030805418
International audience; In this work we review selected experiments and inference methods for the determination of atmospheric entry gas/surface interaction models for air catalysis and nitrogen ablation. Accurate prediction of the gas/surface intera
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1d40af16c9dac453a51befdbab8dcb
https://hal.inria.fr/hal-03081323/file/UQOP.pdf
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5
Polynomial chaos expansion for sensitivity analysis
Autor: Olivier P. Le Maître, Jean-Marc Martinez, Thierry Crestaux
Publikováno v: Reliability Engineering & System Safety. 94:1161-1172
In this paper, the computation of Sobol's sensitivity indices from the polynomial chaos expansion of a model output involving uncertain inputs is investigated. It is shown that when the model output is smooth with regards to the inputs, a spectral co
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9638f761976120b80cf1ca6829252b8b
https://doi.org/10.1016/j.ress.2008.10.008
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7
Inférence bayésienne de l'erreur de modèle pour la calibration des codes CFD
Autor: Leoni, Nicolas
Publikováno v: Statistics [math.ST]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAX033⟩
The calibration of a computer code consists in the comparison of its predictions to the experimental data, so that the best input parameter values can be inferred. We work in a Bayesian framework, where the parameters are treated as random variables
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b00a4b921d1fd8a512f64e43d0625793
https://inria.hal.science/tel-03654787v2/file/109375_LEONI_2022_archivage.pdf
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8
On-ground risk estimation of reentering human-made space objects
Autor: Sanson, Francois
Publikováno v: Other Statistics [stat.ML]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX035⟩
Recent regulations impose the re-entry of human-made end-of-life space object with a rigorous assessment of the risk for human assets. The risk evaluation requires sequences of complex numerical simulations accounting for the multi-physics phenomena
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::36ea8c56dcf5e2e2b2fe8029a5e49e6d
https://hal.archives-ouvertes.fr/tel-02615069/file/104418_SANSON_2019_archivage.pdf
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9
Méthodes avancées d'optimisation par méta-modèles – Applicationà la performance des voiliers de compétition
Autor: Sacher, Matthieu
Publikováno v: Mécanique des matériaux [physics.class-ph]. Ecole nationale supérieure d'arts et métiers-ENSAM, 2018. Français. ⟨NNT : 2018ENAM0032⟩
Sailing yacht performance optimization is a difficult problem due to the high complexity of the mechanicalsystem (aero-elastic and hydrodynamic coupling) and the large number of parameters to optimize (sails, rigs, etc.).Despite the fact that sailboa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::4f7e869bd9554e0762f8d0aba2cb6c21
https://pastel.archives-ouvertes.fr/tel-01924714
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10
Solving incompressible Navier-Stokes equations on heterogeneous parallel architectures
Autor: Wang, Yushan
Publikováno v: Distributed, Parallel, and Cluster Computing [cs.DC]. Université Paris Sud-Paris XI, 2015. English. ⟨NNT : 2015PA112047⟩
In this PhD thesis, we present our research in the domain of high performance software for computational fluid dynamics (CFD). With the increasing demand of high-resolution simulations, there is a need of numerical solvers that can fully take advanta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6adc89253ff7294e7a0325fb7052c15a
https://tel.archives-ouvertes.fr/tel-01152623/document
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