Laboratoire de Mécanique des Fluides de Lille (LMFL)

 

Le Laboratoire de Mécanique des Fluides Lille est une Unité Associée au CNRS (FRE CNRS 2107) qui regroupe des chercheurs et enseignant chercheurs de l'Université de de Lille, de l'Ecole Centrale de Lille et du Centre Arts et Métiers ParisTech de Lille, regroupant les enseignants-chercheurs et les chercheurs en mécanique des Fluides. Les activités du Laboratoire se déclinent autour de quatre thèmes : Turbulence et Contrôle, Métrologie et analyse de données, Écoulements Tournants et Dynamique du Vol.

Voir le site du laboratoire :

http://lmfl.cnrs.fr/

Soumissions récentes

  • Statistical Inference of Upstream Turbulence Intensity for the Flow Around a Bluff Body with Massive Separation 
    Article dans une revue avec comité de lecture
    MOUSSIE, Tom; ERRANTE, Paolo; ccMELDI, Marcello (Springer Nature, 2024-11)
    The Benchmarck on the Aerodynamics of a Rectangular 5:1 Cylinder is studied using a data-driven technique which bridges numerical simulation and available experimental results. Because of intrinsic features of the tools ...
  • Wave statistics and energy dissipation of shallow-water breaking waves in a tank with a level bottom 
    Article dans une revue avec comité de lecture
    LIU, Shuo; WANG, Hui; ccBAYEUL-LAINÉ, Annie-Claude; LI, Cheng; KATZ, Joseph; ccCOUTIER-DELGOSHA, Olivier (Cambridge University Press (CUP), 2023-11)
    The present study focuses on two-dimensional direct numerical simulations of shallow-water breaking waves, specifically those generated by a wave plate at constant water depths. The primary objective is to quantitatively ...
  • Machine learning for optimal flow control in an axial compressor 
    Article dans une revue avec comité de lecture
    ELHAWARY, M. A.; ccROMANO, Francesco; ccDAZIN, Antoine; ccLOISEAU, Jean-Christophe (Springer Science and Business Media LLC, 2023-04)
    Air jets for active flow control have proved effective in postponing the onset of stall phenomenon in axial compressors. In this paper, we use a combination of machine learning and genetic algorithm to explore the optimal ...
  • Transition to turbulence in a heated non-Newtonian pipe flow 
    Article dans une revue avec comité de lecture
    ccROMANO, Francesco; CHARLES, Antoine; DOTTORI, François; AMIR BAHRANI, S. (AIP Publishing, 2021-09)
    A simplified mono-dimensional model for investigating the transition to turbulence in nonisothermal and non-Newtonian pipe flows is proposed. The flow stability is analyzed within the framework of such a model, showing ...
  • Stability of generalized Kolmogorov flow in a channel 
    Article dans une revue avec comité de lecture
    ccROMANO, Francesco (AIP Publishing, 2021-02)
    The Kolmogorov flow is a paradigmatic model flow used to investigate the transition from laminar to turbulent regimes in confined and, especially, in unbounded domains. It represents a solution of the forced Navier–Stokes ...
  • Laminar–turbulent intermittency in pipe flow for an Herschel–Bulkley fluid: Radial receptivity to finite-amplitude perturbations 
    Article dans une revue avec comité de lecture
    CHARLES, Antoine; ccROMANO, Francesco; RIBEIRO, Thierry; AZIMI, Sam; ROCHER, Vincent; ccBAUDEZ, Jean-Christophe; BAHRANI, S. Amir (AIP Publishing, 2022-11)
    We investigate the laminar-to-turbulent transition for non-Newtonian Herschel–Bulkley fluids that exhibit either a shear-thinning or shear-thickening behavior. The reduced-order model developed in this study also includes ...
  • Splitting of a three-dimensional liquid plug at an airway bifurcation 
    Article dans une revue avec comité de lecture
    FUJIOKA, Hideki; ccROMANO, Francesco; MURADOGLU, Metin; GROTBERG, James B. (AIP Publishing, 2022-08)
    Employing the moving particles' semi-implicit (MPS) method, this study presents a numerical framework for solving the Navier–Stokes equations for the propagation and the split of a liquid plug through a three-dimensional ...

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