Statistical modeling of the gas-liquid interface using geometrical variables: toward a unified description of the disperse and separated phase flows

Autor: Essadki, Mohamed, Drui, Florence, de Chaisemartin, Stéphane, Larat, Adam, Ménard, Thibault, Massot, Marc

Publikováno v: International Journal of Multiphase Flow, Vol 120 (2019) 103084

In this work, we investigate an original strategy in order to derive a statistical modeling of the interface in gas-liquid two-phase flows through geometrical variables. The con- tribution is two-fold. First it participates in the theoretical design

Externí odkaz: http://arxiv.org/abs/1710.04585

HIGH ORDER MOMENT MODEL FOR POLYDISPERSE EVAPORATING SPRAYS TOWARDS INTERFACIAL GEOMETRY DESCRIPTION

Autor: ESSADKI, MOHAMED, DE CHAISEMARTIN, STEPHANE, LAURENT, FRÉDÉRIQUE, MASSOT, MARC

Publikováno v: SIAM Journal on Applied Mathematics, 2018 Jan 01. 78(4), 2003-2027.

Externí odkaz: https://www.jstor.org/stable/45093454

Evaluation of the performance portability layer of different linear solver packages with alien, an open generic and extensible linear algebra framework

Autor: Anciaux-Sedrakian, Ani, Chevalier, Cédric, de Chaisemartin, Stéphane, Gratien, Jean-Marc, Guignon, Thomas, Havé, Pascal, Möller, Nathalie, Tunc, Xavier

Publikováno v: ECCOMAS 2022 : 8th European Congress on Computational Methods in Applied Sciences and Engineering
ECCOMAS 2022 : 8th European Congress on Computational Methods in Applied Sciences and Engineering, Jun 2022, Oslo, Norway

International audience; Applications to solve large and complex partial derivative equation systems often rely nowadays on frameworks like Arcane, Dune, Feel++. Linear solver packages like PETSc or Trilinos are used to manage linear systems and provi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3515::0619c637e26e1b85bb062177be8f1afb
https://hal.science/hal-03790551/document

Adaptive Mesh Refinement and High Order Geometrical Moment Method for the Simulation of Polydisperse Evaporating Sprays

Autor: Essadki Mohamed, de Chaisemartin Stéphane, Massot Marc, Laurent Frédérique, Larat Adam, Jay Stéphane

Publikováno v: Oil & Gas Science and Technology, Vol 71, Iss 5, p 61 (2016)

Predictive simulation of liquid fuel injection in automotive engines has become a major challenge for science and applications. The key issue in order to properly predict various combustion regimes and pollutant formation is to accurately describe th

Externí odkaz: https://doaj.org/article/7912eb13a57b4a28a2acb1cd8fde6e46

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