• français
    • English
    English
  • Ouvrir une session
Aide
Voir le document 
  •   Accueil de SAM
  • Dynamique des Fluides (DynFluid)
  • Voir le document
  • Accueil de SAM
  • Dynamique des Fluides (DynFluid)
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Investigation of high-order methods in large-eddy simulation of separated flow in a channel with periodic constrictions

Chapitre d'ouvrage scientifique
Auteur
CINNELLA, Paola
ccGLOERFELT, Xavier
134975 Laboratoire de Dynamique des Fluides [DynFluid]

URI
http://hdl.handle.net/10985/18935
DOI
10.1007/978-3-319-63212-4_56
Date
2018

Résumé

In large-eddy simulations (LES), only the dynamics of large scales is computed and the effect of smaller scales is modelled. Scale separation is however difficult to establish since the low-pass filtering arises from a complex combination of implicit filtering by the grid and the discretization schemes. Evenwhen explicit filtering is performed, the implicit filtering due to the application of discretizationmethods changes the shape of the filter function. The principal objective of the current study is to identify the sensitivity of the predictive accuracy to resolution and modelling issues. Simulations were performed for six different finite-difference schemes, six explicit filters and five subgrid-scalemodels on a coarse grid. It is shown in particular that the dissipative part of the discretization scheme plays a determinant role and overwhelms the choice of a SGS closure.

Fichier(s) constituant cette publication

Nom:
DYNFLUID_DLES_2018_GLOERFELT.pdf
Taille:
414.5Ko
Format:
PDF
Description:
Article
Voir/Ouvrir

Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Dynamique des Fluides (DynFluid)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • 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; ccCINNELLA, Paola; ccGLOERFELT, 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 ...
  • Large Eddy Simulation Requirements for the Flow over Periodic Hills 
    Article dans une revue avec comité de lecture
    CINNELLA, Paola; ccGLOERFELT, Xavier (Springer Verlag (Germany), 2019)
    Large eddy simulations are carried out for flows in a channel with streamwise-periodic constrictions, a well-documented benchmark case to study turbulent flow separation from a curved surface. Resolution criteria such as ...
  • Direct numerical simulations of supersonic turbulent channel flows of dense gases 
    Article dans une revue avec comité de lecture
    CINNELLA, Paola; ccSCIACOVELLI, Luca; ccGLOERFELT, Xavier (Cambridge University Press (CUP), 2017)
    The influence of dense-gas effects on compressible wall-bounded turbulence is investigated by means of direct numerical simulations of supersonic turbulent channel flows. Results are obtained for PP11, a heavy fluorocarbon ...
  • Investigation of the flow dynamics in a channel constricted by periodic hills 
    Communication avec acte
    CINNELLA, Paola; ccGLOERFELT, Xavier (American Institute of Aeronautics and Astronautics, 2015)
    The present study aims at getting better insight of the complex flow dynamics in a channel constricted by periodic hills. This is a popular test case ofer used to assess LES and RANS/LES models, which appears as a compendium ...
  • A Priori Tests of RANS Models for Turbulent Channel Flows of a Dense Gas 
    Article dans une revue avec comité de lecture
    CINNELLA, Paola; ccSCIACOVELLI, Luca; ccGLOERFELT, Xavier (Springer Verlag (Germany), 2018)
    Dense gas effects, encountered in many engineering applications, lead to unconventional variations of the thermodynamic and transport properties in the supersonic flow regime, which in turn are responsible for considerable ...

Parcourir

Tout SAMLaboratoiresAuteursDates de publicationCampus/InstitutsCe LaboratoireAuteursDates de publicationCampus/Instituts

Lettre Diffuser la Science

Dernière lettreVoir plus

Statistiques de consultation

Publications les plus consultéesStatistiques par paysAuteurs les plus consultés

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales