Presentation

LFD-FLU is an Inria associate team between the Fluminance Inria group and the LFD laboratory of the Buenos Aires university. The LFD-FLU team, which gathers researchers from both groups, aims at exploring issues related to the modelling of the small-scale flow components through the incorporation of random fields, figuring uncertainties on the flow dynamics. This strategy allows us modelling partially known boundary conditions or missing dissipation contributions associated to unresolved scales or truncated modes. This strategy will be coupled with a continuation of our common past efforts on the study of empirical basis for the flow representation.

Principal investigators

Etienne Mémin, Leader of the Fluminance research group jointly affiliated to Inria, Irstea and the IRMAR laboratory

Guillermo Artana, Head of the LFD laboratory of the Buenos Aires University

Contact

mail: etienne.memin@inria.fr

mail: gartana@gmail.com

News

Dominique Heitz Keynote speaker "L'assimilation de données pour coupler expériences et simulations d’écoulements turbulents" CFTL18, 16ieme Congrès Francophone de Technique Laser, 17-21 septembre, 2018, Dourdan, France

Dominique Heitz Keynote speaker "Data assimilation to couple experimental and computational turbulent flow dynamics" Active Flow & Combustion Control (AFFC2018), September 19-21, 2018, Berlin, Germany

Visit of Alejandro Gronskis from the 17/09/2018 to 01/10/2018 to work on gappy PIV measurements denoising with 4DVar technique

Visit of Guillermo Artana from the 17/09/2018 to 01/10/2018

Etienne Mémin (10 days) in Buenos Aires (December 2018)

Last publications

  • P. Chandramouli, D. Heitz, S. Laizet and E. Mémin, Coarse-grid large eddy simulations in a wake flow with new stochastic small scale models, Computer and Fluids, 168, 2018.

  • B. Chapron, P. Dérian, E. Mémin and V. resseguier, Large scale flows under location uncertainty: a consistent stochastic framework, Quart. J. of the Roy. Meteo. Soc., 2018

  • A. Gronskis, D. Heitz and E. Mémin, Control of unsteady wake flows using local oscillations of body surface: a data assimilation study, CFTL, 2018.