Dynamique des Fluides (DynFluid): Soumissions récentes

Voici les éléments 36-42 de 295

    • Data-driven modeling of the chaotic thermal convection in an annular thermosyphon 
      Article dans une revue avec comité de lecture
      ccLOISEAU, Jean-Christophe (Springer Science and Business Media LLC, 2020-07)
      Identifying accurate and yet interpretable low-order models from data has gained renewed interest over the past decade. In the present work, we illustrate how the combined use of dimensionality reduction and sparse system ...
    • System Identification of Two-Dimensional Transonic Buffet 
      Article dans une revue avec comité de lecture
      SANSICA, Andrea; KANAMORI, Masashi; HASHIMOTO, Atsushi; ccLOISEAU, Jean-Christophe; ccROBINET, Jean-Christophe (American Institute of Aeronautics and Astronautics (AIAA), 2022-02)
      When modeled within the unsteady Reynolds-Averaged Navier-Stokes framework, the shock-wave dynamics on a two-dimensional aerofoil at transonic buffet conditions is char- acterized by time-periodic oscillations. Given the ...
    • From the POD-Galerkin method to sparse manifold models 
      Chapitre d'ouvrage scientifique
      BRUNTON, Steven; NOACK, Bernd; ccLOISEAU, Jean-Christophe (De Gruyter, 2021-06)
      Reduced-order models are essential for the accurate and efficient prediction, estimation, and control of complex systems. This is especially true in fluid dynamics, where the fully resolved state space may easily contain ...
    • PySINDy: A comprehensive Python package for robust sparse system identification 
      Article dans une revue avec comité de lecture
      KAPTANOGLU, Alan; DE SILVA, Brian; FASEL, Urban; KAHEMAN, Kadierdan; GOLDSCHMIDT, Andy; CALLAHAM, Jared; DELAHUNT, Charles; NICOLAOU, Zachary; CHAMPION, Kathleen; KUTZ, J.; BRUNTON, Steven; ccLOISEAU, Jean-Christophe (The Open Journal, 2022-01)
      Automated data-driven modeling, the process of directly discovering the governing equations of a system from data, is increasingly being used across the scientific community. PySINDy is a Python package that provides tools ...
    • An empirical mean-field model of symmetry-breaking in a turbulent wake 
      Article dans une revue avec comité de lecture
      CALLAHAM, Jared L.; RIGAS, Georgios; ccLOISEAU, Jean-Christophe; BRUNTON, Steven L. (2022-05-11)
      Improved turbulence modeling remains a major open problem in mathematical physics. Turbulence is notoriously challenging, in part due to its multiscale nature and the fact that large-scale coherent structures cannot be ...
    • Study on the Resolution of Large-Eddy Simulations for Supersonic Jet Flows 
      Conférence invitée
      JUNQUEIRA-JUNIOR, Carlos; F. ABREU, Diego; T. V. DAURICIO, Eron; F. AZEVEDO, João Luiz (AIAA, 2022-06)
      The present study is concerned with large-eddy simulations (LES) of supersonic jet flows. The work addresses, in particular, the simulation of a perfectly expanded free jet flow with an exit Mach number of 1.4 and an exit ...
    • Comparison of Shock-Boundary Layer Interactions in Adiabatic and Isothermal Supersonic Turbine Cascades 
      Conférence invitée
      JUNQUEIRA-JUNIOR, Carlos; R. WOLF, William; F. S. LUI, Hugo; R. RICCIARDI, Tulio (AIAA, 2022-06)
      Wall-resolved large eddy simulations are employed to investigate the shock-boundary layer interactions (SBLIs) in a supersonic turbine cascade. An analysis of the suction side separation bubbles forming due to the SBLIs ...