14 octobre 2021

Wébinaire Yves Dubief

Dr. Y. Dubief moved to Vermont in 2005 from the Center for Turbulence Research (Stanford University) where he was a research associate working on drag reduction in turbulent flows by addition of polymers . At UVM, Dr. Dubief has been developing and collaborating research programs in turbulence control by complex fluids, flow-surface interactions with application to erosion and ablation by turbulent flows, biophysics of blood coagulation under flow and lubrication in articular joints. Dr. Dubief is a fellow of the Vermont Advanced Computing Center. He contributes to the teaching of fluid-related and computing-related undergraduate and graduate courses.
Elasto Inertial Turbulence: A Numerical Discovery

Abstract: Elasto inertial turbulence (EIT) is a chaotic state os polymer flows, first discovered in numerical simulations of channel flows. The process behind the discovery of EIT provides critical information about the physics at play. The polymer model most commonly used for simulation of drag reduction with polymer additives, the FENE-P model, is notoriously hyperbolic, or stiff. Using appropriate numerical methods and resolutions not only revealed the existence of the phenomenon, it led to the identification of the key scales involved in the self-sustaining cycle of EIT. This seminar will present the current state of knowledge of EIT, including the different regimes (see Figure), a first coherent structure, and its existence in natural convection flows. The mechanism of EIT will be discussed in the context of energy transfer between polymers and flow. The talk will end on a few remarks about the possible connection between EIT and elastic turbulence, a chaotic state observed in inertialess flows.

14 octobre 2021, 16h3016h30
Wébinaire (merci de contacter F. Romano pour le lien)

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01 décembre 2022

Wébinaire Esteban Ferrer

New avenues in high order fluid dynamics

Esteban Ferrer est professeur de mathématiques appliquées à l'école d'aéronautique (ETSIAE-UPM). Il a obtenu son doctorat à l'université d'Oxford (Royaume-Uni) et possède 20 ans d'expérience industrielle et universitaire dans le développement de techniques numériques pour les problèmes de fluides. Il travaille activement avec l'industrie et coordonne deux projets Européens. Ses principaux intérêts sont les méthodes d'ordre élevé pour la dynamique des fluides, la modélisation de la turbulence, l'apprentissage automatique, l'aéroacoustique pour l'aéronautique et l'énergie éolienne. Il a rédigé plus de 90 articles de journaux et de conférences sur ces sujets.