Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Amandine Marrel"'
Autor:
Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle, Roman Sueur
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11475 (2021)
Finding outliers in functional infinite-dimensional vector spaces is widely present in the industry for data that may originate from physical measurements or numerical simulations. An automatic and unsupervised process of outlier identification can h
Externí odkaz:
https://doaj.org/article/978d60dd7e4b4a0f807645b8186046aa
Publikováno v:
Quality and Reliability Engineering International. 39:500-522
Publikováno v:
Quality and Reliability Engineering International
Quality and Reliability Engineering International, 2022, 38 (3), pp.1482-1500. ⟨10.1002/qre.2973⟩
Quality and Reliability Engineering International, 2022, 38 (3), pp.1482-1500. ⟨10.1002/qre.2973⟩
International audience; The manufacturing quality of industrial pieces is linked with the intrinsic concentration field of certain chemical species. Thus, from punctual measurements sparsely distributed on the piece, a robust estimation of the maximu
Autor:
Mohamed Reda El Amri, Amandine Marrel
Publikováno v:
Quality and Reliability Engineering International. 38:1386-1403
Physical phenomena are commonly modeled by numerical simulators. Such codes can take as input a high number of uncertain parameters and it is important to identify their influences on the outputs via a Global Sensitivity Analysis (GSA). However, thes
Autor:
Amandine Marrel, Simon Li, Antoine Gerschenfeld, Marine Anderhuber, Sophie Bajard, Baptiste Grosjean, Yannick Gorsse, Nathalie Marie, Michel Marquès, Gédéon Mauger, Chotaire Geffray, Annick Tosello, Jorge Perez, Laura Matteo
Publikováno v:
EPJ N-Nuclear Sciences & Technologies
EPJ N-Nuclear Sciences & Technologies, EDP Sciences, 2021, 7, pp.3. ⟨10.1051/epjn/2021002⟩
EPJ Nuclear Sciences & Technologies, Vol 7, p 3 (2021)
EPJ N-Nuclear Sciences & Technologies, 2021, 7, pp.3. ⟨10.1051/epjn/2021002⟩
EPJ N-Nuclear Sciences & Technologies, EDP Sciences, 2021, 7, pp.3. ⟨10.1051/epjn/2021002⟩
EPJ Nuclear Sciences & Technologies, Vol 7, p 3 (2021)
EPJ N-Nuclear Sciences & Technologies, 2021, 7, pp.3. ⟨10.1051/epjn/2021002⟩
International audience; Within the framework of the French 4th-generation Sodium-cooled Fast Reactor safety assessment, methodology on VVUQ (Verification, Validation, Uncertainty Quantification) is conducted to demonstrate that the CEA's thermal-hydr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53205590d57b8657935fd18b4cda0e8c
https://hal.archives-ouvertes.fr/hal-03133360/file/epjn200008.pdf
https://hal.archives-ouvertes.fr/hal-03133360/file/epjn200008.pdf
Autor:
Vincent Chabridon, Amandine Marrel
Publikováno v:
Reliability Engineering and System Safety
Reliability Engineering and System Safety, 2021, 214, pp.107711
Reliability Engineering and System Safety, 2021, 214, pp.107711
Numerical simulators are essential for understanding, modeling and predicting physical phenomena. However, the available information about some of the input variables is often limited or uncertain. Global sensitivity analysis (GSA) then aims at deter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::097b0e8ed456ad5c9f80e964b5a986a9
https://hal.science/hal-02541142v2/file/preprint_TCSA_Marrel_Chabridon_2020_v1.pdf
https://hal.science/hal-02541142v2/file/preprint_TCSA_Marrel_Chabridon_2020_v1.pdf
Publikováno v:
Nuclear Science and Engineering
Nuclear Science and Engineering, 2022, 196, pp.301-321. ⟨10.1080/00295639.2021.1980362⟩
Nuclear Science and Engineering, Academic Press, 2021, ⟨10.1080/00295639.2021.1980362⟩
UQ22-SIAM Conference on Uncertainty Quantification
UQ22-SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States
Nuclear Science and Engineering, 2022, 196, pp.301-321. ⟨10.1080/00295639.2021.1980362⟩
Nuclear Science and Engineering, Academic Press, 2021, ⟨10.1080/00295639.2021.1980362⟩
UQ22-SIAM Conference on Uncertainty Quantification
UQ22-SIAM Conference on Uncertainty Quantification, SIAM, Apr 2022, Atlanta, United States
In the framework of risk assessment in nuclear accident analysis, best-estimate computer codes, associated to a probabilistic modeling of the uncertain input variables, are used to estimate safety margins. A first step in such uncertainty quantificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bdfb1a9c6f70f8f8c5092afc3c5cc51
http://arxiv.org/abs/2004.04663
http://arxiv.org/abs/2004.04663
Publikováno v:
Nuclear Engineering and Design
Nuclear Engineering and Design, Elsevier, 2020, pp.110550. ⟨10.1016/j.nucengdes.2020.110550⟩
Nuclear Engineering and Design, Elsevier, 2020, pp.110550. ⟨10.1016/j.nucengdes.2020.110550⟩
Within the framework of the Generation IV Sodium-cooled Fast Reactor (SFR) RD its final objective being to derive the variability of the main outputs of interest for the safety. This approach involves a fast-running description of extended accident s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d37c7fdfcda4aa42adb85a6ecfadf99
https://hal-cea.archives-ouvertes.fr/cea-02535224
https://hal-cea.archives-ouvertes.fr/cea-02535224
Autor:
Roman Sueur, Amandine Marrel, Alvaro Rollon de Pinedo, Nathalie Marie, Elsa Merle-Lucotte, Mathieu Couplet
Publikováno v:
Functional and High-Dimensional Statistics and Related Fields ISBN: 9783030477554
Functional data consist in the most typical case of one-dimensional curves that represent the evolution of some physical parameter of interest with time. However, the analysis of this kind of objects is far from being simple, and the possibility of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c23db08b08b3ec9ff950a16e759283
https://doi.org/10.1007/978-3-030-47756-1_30
https://doi.org/10.1007/978-3-030-47756-1_30
Publikováno v:
Nuclear Science and Engineering
Nuclear Science and Engineering, 2020, ⟨10.1080/00295639.2020.1722542⟩
Nuclear Science and Engineering, 2020, ⟨10.1080/00295639.2020.1722542⟩
International audience; Usually, simulation tools are validated on experimental data considering a Best Estimate simulation case and there is no quantification of this validation, which remains based on a rough expert judgment. This paper presents an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6787b4d3916ff4913e84a690155fefe
https://hal.science/hal-03750679/file/MarieNSEOcarina_HAL.pdf
https://hal.science/hal-03750679/file/MarieNSEOcarina_HAL.pdf