Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yoann Cheny"'
Publikováno v:
Machine Learning: Science and Technology, Vol 6, Iss 1, p 015032 (2025)
In this paper, we apply physics informed neural networks (PINNs) to infer velocity and pressure field from light attenuation technique (LAT) measurements for gravity current induced by lock-exchange. In a PINN model, physical laws are embedded in the
Externí odkaz:
https://doaj.org/article/a99b2540705f498794373f69f82f6c9b
The present work investigates the use of physics-informed neural networks (PINNs) for the three-dimensional (3D) reconstruction of unsteady gravity currents from limited data. In the PINN context, the flow fields are reconstructed by training a neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89c56efa48a28910c7cae836a8a7b697
http://arxiv.org/abs/2211.09715
http://arxiv.org/abs/2211.09715
LEMTA - UMR 7563 CNRS-UL - Universite de Lorraine, Nancy, FranceParticle-laden gravity currents (PLGC) are commonly found in estuarieswhere rivers discharge suspended matters into the oceans. The dynamics ofthese stratified flow is largely related to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::542dc69be291d9d71fc5096ab4e3257a
https://doi.org/10.5194/egusphere-egu22-9141
https://doi.org/10.5194/egusphere-egu22-9141
Autor:
Yoann Cheny, Jean-Yves Morel, Arthur Pascot, Mathieu Jenny, Sébastien Kiesgen de Richter, Sergiy Antonyuk
Publikováno v:
Powder Technology. 397:116998
The present work focuses on granular flows in a nearly-2D silo when external vibrations are applied. Experimental measurements and numerical simulations based on discrete element method (DEM) were performed in order to study the impact of both vibrat
Publikováno v:
Computer Physics Communications
Computer Physics Communications, Elsevier, 2018, 226, pp.67-80. ⟨10.1016/j.cpc.2018.01.006⟩
Computer Physics Communications, Elsevier, 2018, 226, pp.67-80. ⟨10.1016/j.cpc.2018.01.006⟩
The LS-STAG method is an immersed boundary/cut-cell method for viscous incompressible flows based on the staggered MAC arrangement for Cartesian grids, where the irregular boundary is sharply represented by its level-set function , results in a signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66d786887d135e08a6ae389d4f62c22d
https://hal.univ-lorraine.fr/hal-01874475/file/CPC-D-17-00420R1.pdf
https://hal.univ-lorraine.fr/hal-01874475/file/CPC-D-17-00420R1.pdf
Publikováno v:
Communications in Computational Physics
Communications in Computational Physics, Global Science Press, 2016, 20 (04), pp.870-901. ⟨10.4208/cicp.080615.010216a⟩
Communications in Computational Physics, Global Science Press, 2016, 20 (04), pp.870-901. ⟨10.4208/cicp.080615.010216a⟩
This paper presents the extension of a well-established Immersed Boundary (IB)/cut-cell method, the LS-STAG method (Y. Cheny & O. Botella, J. Comput. Phys. Vol. 229, 1043-1076, 2010), to viscoelastic flow computations in complex geometries. We recall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd1806adc5f264bfa34f64a3c6b65a9
https://hal.univ-lorraine.fr/hal-01408974
https://hal.univ-lorraine.fr/hal-01408974
Publikováno v:
Theoretical and Computational Fluid Dynamics
Theoretical and Computational Fluid Dynamics, Springer Verlag, 2015, 29 (1), pp.93--110. ⟨10.1007/s00162-015-0342-0⟩
Theoretical and Computational Fluid Dynamics, Springer Verlag, 2015, 29 (1), pp.93--110. ⟨10.1007/s00162-015-0342-0⟩
International audience; This paper presents the extension of a well-established immersed boundary/cut-cell method, the LS-STAG method (Cheny and Botella in J Comput Phys 229:1043―1076, 2010), to non-Newtonian flow computations in 2D irregular geome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::760c44c88345c5f89c7e9b490deaa605
https://hal.univ-lorraine.fr/hal-01417331
https://hal.univ-lorraine.fr/hal-01417331
Autor:
Yoann Cheny, Olivier Botella
Publikováno v:
Revue Européenne de Mécanique Numérique/European Journal of Computational Mechanics
Revue Européenne de Mécanique Numérique/European Journal of Computational Mechanics, Hermès / Paris : Lavoisier 2012, 18 (7-8), pp.561-587. ⟨10.3166/ejcm.18.561-587⟩
Revue Européenne de Mécanique Numérique/European Journal of Computational Mechanics, Hermès / Paris : Lavoisier 2012, 18 (7-8), pp.561-587. ⟨10.3166/ejcm.18.561-587⟩
This paper concerns the development of a new Cartesian grid / immersed boundary (IB) method for the computation of incompressible viscous flows in irregular geometries. In IB methods, the computational grid is not aligned with the irregular boundary,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0859db97b6307f7ab2593502dd4aeece
https://hal.archives-ouvertes.fr/hal-03012952
https://hal.archives-ouvertes.fr/hal-03012952
Autor:
Yoann Cheny, Olivier Botella
Publikováno v:
ASME 2010 Symposium paper
ASME 2010 Symposium paper, 2012, 18 (7-8), pp.2441-2451. ⟨10.1115/FEDSM-ICNMM2010-30964⟩
ASME 2010 Symposium paper, 2012, 18 (7-8), pp.2441-2451. ⟨10.1115/FEDSM-ICNMM2010-30964⟩
The LS-STAG method is an immersed boundary method for viscous incompressible flows based on the staggered MAC arrangement for Cartesian grids, where the irregular boundary is sharply represented by its level-set function. The level-set function enabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::018dc9b9ba682595765a16dce90d06a1
https://hal.archives-ouvertes.fr/hal-03012929
https://hal.archives-ouvertes.fr/hal-03012929
Autor:
Olivier Botella, Yoann Cheny
Publikováno v:
Computational Fluid Dynamics 2010 ISBN: 9783642178832
The LS-STAG method is an immersed boundary method for viscous incompressible flows based on the staggered MAC arrangement for Cartesian grids, where the irregular boundary is sharply represented by its level-set function. The level-set function enabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aef067f90e12977c0221d360213c533c
https://doi.org/10.1007/978-3-642-17884-9_77
https://doi.org/10.1007/978-3-642-17884-9_77