Le Laboratoire DynFluid (équipe d'accueil EA 92) est un laboratoire en cotutelle Arts et Métiers ParisTech / Conservatoire National des Arts et Métiers. Il mène des travaux de recherche en Mécanique des fluides, Aérodynamique et Acoustique, avec des applications dans les secteurs aéronautique, automobile et celui des procédés industriels. Il développe des méthodes numériques originales pour simuler des écoulements (le plus souvent en régime compressible) et des phénomènes aéroacoustiques, ou analyser leurs instabilités et il met en œuvre ces méthodes dans le cadre de programmes de recherche nationaux ou internationaux. Le laboratoire collabore également avec de nombreux partenaires industriels et académiques.
Voir le site du laboratoire DynFluid :

http://dynfluid.ensam.eu/

Recent Submissions

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  Nonlinear optimal perturbation of turbulent channel flow as a precursor of extreme events 

  Article dans une revue avec comité de lecture

  CIOLA, Nicola; DE PALMA, Paul; ROBINET, Jean-Christophe; CHERUBINI, Stefania (Cambridge University Press (CUP), 2023-08)

  This work aims at studying the mechanisms behind the occurrence of extreme dissipation events in a channel flow, identifying nonlinear optimal perturbations as potential precursors of these events. Nonlinear optimal ...
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  Numerical Analysis of Distance Effect between Inducer and Centrifugal Impeller in Independent Rotational Turbopump in Co-rotating and Counter-rotating Mode 

  Communication avec acte

  DEHNAVI, Ehsan; BAKIR, Farid; DANLOS, Amélie; KEBDANI, Mohamed (Euroturbo (European Turbomachinery Society), 2023-04)

  This study focuses on enhancing the performance of turbomachines through the design of multi rotor configurations. Specifically, the effect of the distance between an axial inducer and a centrifugal impeller, which rotates ...
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  Instability mechanisms in meandering streamwise vortex pairs of upswept afterbody wakes 

  Article dans une revue avec comité de lecture

  RANJAN, Rajesh; ROBINET, Jean-Christophe; GAITONDE, Datta (Elsevier BV, 2022-07)

  Wakes of upswept afterbodies are often characterized by counter-rotating streamwise vortex pairs which meander in space. One application concerns aft regions of cargo aircraft, which are characterized by a relatively flat ...
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  Minimal energy thresholds for sustained turbulent bands in channel flow 

  Article dans une revue avec comité de lecture

  PARENTE, Enza; ROBINET, Jean-Christophe; DE PALMA, Paul; CHERUBINI, Stefania (Cambridge University Press (CUP), 2022-05)

  In this work, nonlinear variational optimization is used for obtaining minimal seeds for the formation of turbulent bands in channel flow. Using nonlinear optimization together with energy bisection, we have found that the ...
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  Variational Nonlinear Optimization in Fluid Dynamics: The Case of a Channel Flow with Superhydrophobic Walls 

  Article dans une revue avec comité de lecture

  CHERUBINI, Stefania; PICELLA, Francesco; ROBINET, Jean-Christophe (MDPI AG, 2020-12)

  Variational optimization has been recently applied to nonlinear systems with many degrees of freedom such as shear flows undergoing transition to turbulence. This technique has unveiled powerful energy growth mechanisms ...
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  On the influence of the modelling of superhydrophobic surfaces on laminar–turbulent transition 

  Article dans une revue avec comité de lecture

  PICELLA, Francesco; ROBINET, Jean-Christophe; CHERUBINI, Stefania (Cambridge University Press (CUP), 2020-08)

  Superhydrophobic surfaces dramatically reduce the skin friction of overlying liquid flows, providing a lubricating layer of gas bubbles trapped within their surface nano-sculptures. Under wetting-stable conditions, different ...
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  Sparse Bayesian Learning of Explicit Algebraic Reynolds-Stress models for turbulent separated flows 

  Article dans une revue avec comité de lecture

  CHERROUD, Soufiane; MERLE, Xavier; CINNELLA, Paola; GLOERFELT, Xavier (Elsevier BV, 2022-12)

  A novel Sparse Bayesian Learning (SBL) framework is introduced for generating parsimonious stochastic algebraic stress closures for the Reynolds-Averaged Navier–Stokes (RANS) equations from high-fidelity data. The models ...

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