Zobrazeno 1 - 10
of 27
pro vyhledávání: '"ASSIMILATION DE DONNEES"'
Autor:
Andrea Sciacchitano, Ivan Mary, Benjamin Leclaire, Philippe Cornic, Cédric Liauzun, Stéphanie Péron, Frédéric Champagnat, Andreas Schröder
Publikováno v:
ISPIV 2021
ISPIV 2021, Aug 2021, CHICAGO (VIRTUEL), United States
ISPIV 2021, Aug 2021, CHICAGO (VIRTUEL), United States
International audience; This communication describes how datasets for the 1st challenge on Lagrangian Particle Tracking (LPT) and Data Assimilation (DA), held in 2020 and organized within the UE-funded H2020 project HOMER, have been generated. The ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::865340a6b9c533cb3d7ca381a92b4af5
https://hal.archives-ouvertes.fr/hal-03368421/document
https://hal.archives-ouvertes.fr/hal-03368421/document
Autor:
Vincent Mons, Olivier Marquet
Publikováno v:
Journal of Fluid Mechanics
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2021, 923, ⟨10.1017/jfm.2021.488⟩
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2021, 923, ⟨10.1017/jfm.2021.488⟩
International audience; Reynolds-averaged Navier–Stokes (RANS)-based data assimilation has proven to be essential in many data-driven approaches, including the augmentation of experimental data and the identification of turbulence model corrections
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26ed3710257f2a11bced8311c6fd9711
https://hal.archives-ouvertes.fr/hal-03378436/file/DAAA21005.1634048274_postprint.pdf
https://hal.archives-ouvertes.fr/hal-03378436/file/DAAA21005.1634048274_postprint.pdf
Publikováno v:
Physica D: Nonlinear Phenomena
Physica D: Nonlinear Phenomena, Elsevier, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩
Physica D: Nonlinear Phenomena, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩
Physica D: Nonlinear Phenomena, Elsevier, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩
Physica D: Nonlinear Phenomena, 2020, 408, pp.132495. ⟨10.1016/j.physd.2020.132495⟩
International audience; This paper investigates the use of a data-driven method to model the dynamics of the chaotic Lorenz system. An architecture based on a recurrent neural network with long and short term dependencies predicts multi-step ahead th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::390b65d00acc6547428ebc7b0c2534c9
https://hal.archives-ouvertes.fr/hal-02475962v2/file/DAAA19190.1587487898_postprint.pdf
https://hal.archives-ouvertes.fr/hal-02475962v2/file/DAAA19190.1587487898_postprint.pdf
This paper investigates the use of a data-driven method to model the dynamics of the chaotic Lorenz system. An architecture based on a recurrent neural network with long and short term dependencies predicts multi-step ahead the position and velocity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::433e14bc501172118569f6a425341bcf
https://hal.archives-ouvertes.fr/hal-02475962
https://hal.archives-ouvertes.fr/hal-02475962
Publikováno v:
Quarterly Journal of the Royal Meteorological Society
Quarterly Journal of the Royal Meteorological Society, Wiley, 2020, 146 (726), pp.153-173. ⟨10.1002/qj.3663⟩
Quarterly Journal of the Royal Meteorological Society, Wiley, 2020, 146 (726), pp.153-173. ⟨10.1002/qj.3663⟩
International audience; The knowledge of historical French weather has recently been improved through the development of the Spatially COherent Probabilistic Extended (SCOPE) climate reconstructions. This high‐resolution ensemble daily reconstructi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b081f04139b9c8fd41a1de2622fa2a
https://hal.inrae.fr/hal-02610066
https://hal.inrae.fr/hal-02610066
Publikováno v:
Physical Review Fluids
Physical Review Fluids, American Physical Society, 2020, 5 (9), ⟨10.1103/PhysRevFluids.5.094603⟩
Physical Review Fluids, American Physical Society, 2020, 5 (9), ⟨10.1103/PhysRevFluids.5.094603⟩
International audience; In this article, we provide a methodology to reconstruct high Reynolds number turbulent mean-flows from few time-averaged measurements. A turbulent flow over a backwardfacing step at Re = 28275 is considered to illustrate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4737f0b5d598e81582d8c52908218c00
Publikováno v:
JMSC-2019 : Journées de Modélisation des Surfaces Continentales
JMSC-2019 : Journées de Modélisation des Surfaces Continentales, Nov 2019, Paris, France. pp.1, 2019
JMSC-2019 : Journées de Modélisation des Surfaces Continentales, Nov 2019, Paris, France. pp.1, 2019
National audience; Les modèles hydrologiques sont largement utilisés pour la prévision opérationnelle des crues. La fiabilité des prévisions est toutefois affectée par de nombreuses incertitudes, notamment sur les données d'entrées, l'estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cbbc180a6b269abc61bd7e35b0ad13c6
https://hal.inrae.fr/hal-02609961
https://hal.inrae.fr/hal-02609961
Autor:
Franceschini, Lucas
Publikováno v:
Mechanics [physics.med-ph]. Université Paris Saclay (COmUE), 2019. English. ⟨NNT : 2019SACLX092⟩
Fluids mechanics [physics.class-ph]. Université Paris Saclay, 2019. English
Fluids mechanics [physics.class-ph]. Université Paris Saclay, 2019. English
In a first moment we will be interested in the recovery of the mean-flow quantities from partial or sparse information, ranging from point-wise velocity probes to wall-pressure and friction. This will be achieved by considering the Reynolds-Averaged
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d83274cdd597aeba982db72a5c74b0b
https://hal.archives-ouvertes.fr/tel-02962789
https://hal.archives-ouvertes.fr/tel-02962789
Autor:
Yegavian, Robin
Publikováno v:
Fluids mechanics [physics.class-ph]. UNIVERSITE PARIS-SACLAY, 2018. English
Particle Image Velocimetry (PIV) is one of the reference experimental methods for the study of complex flows. In the last decades, the range of cases where PIV has been used has increased, for instance due to the continuous improvement of high frame-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::df963fec91125bb45f9d312feb944ce1
https://hal.archives-ouvertes.fr/tel-01899593/file/DAAA18024.1526995002.pdf
https://hal.archives-ouvertes.fr/tel-01899593/file/DAAA18024.1526995002.pdf
Publikováno v:
Journal of Fluid Mechanics
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2017, 824, p. 174-201. ⟨10.1017/jfm.2017.333⟩
Journal of Fluid Mechanics, Cambridge University Press (CUP), 2017, 824, p. 174-201. ⟨10.1017/jfm.2017.333⟩
This article presents a reconstruction of the unsteady behaviour of a round jet at a Reynolds number equal to 3300, from the sole knowledge of the time-averaged flow field and one pointwise unsteady measurement. The reconstruction approach is an appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702680e49e6993d61429c5a345337515
https://hal.archives-ouvertes.fr/hal-01799822
https://hal.archives-ouvertes.fr/hal-01799822