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Réduction de modèle en convection forcée par des méthodes d'identification. Application au sillage de cylindre circulaire

Abstract : Most engineering processes dealing with aerothermics involve numerical simulations (CFD) which need to take transient phenomena into account to be realistic. Low order models and response surfaces offer the engineer an alternative to the high costs associated with CFD processes, providing him with surrogates for the outputs of his interest. This work is devoted to extend theModal Identification Method (MIM) in the field of fluid dynamics. MIMis a low order modeling techniques, based on the minimization of the discrepancy between a usually large reference model, and a low order model. It solves an optimization problem whose variables are the low order model parameters. Low order models are built for several kinds of turbulent flows. The circular cylinder in a crossflow provides us with several test cases. We cope with steady flows or unsteady ones, be them in forced convection or isothermal cases. Those models are able to produce outputs as different as velocity and temperature fields, heat fluxes, . . . The compressible flow around a wing profile is also considered to investigate the sampling effect. Those models give quick approximates of the pressure distribuution or the force coefficients.
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Submitted on : Monday, December 13, 2010 - 2:13:00 PM
Last modification on : Monday, October 19, 2020 - 11:05:39 AM
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Jérôme Ventura. Réduction de modèle en convection forcée par des méthodes d'identification. Application au sillage de cylindre circulaire. Sciences de l'ingénieur [physics]. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2010. Français. ⟨tel-00545988⟩

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