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Investigating the Three-dimensional Flow Separation Induced by a Model Vocal Fold Polyp
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Large eddy simulation for aerodynamics: status and perspectives.

Pierre Sagaut1, Sébastien Deck

  • 1Institut Jean Le Rond d'Alembert, Université Pierre et Marie Curie-Paris 6, 4 place Jussieu, case 162, 75252 Paris Cedex 5, France. pierre.sagaut@upmc.fr

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Large Eddy Simulation (LES) is a mature technique for aerodynamic engineering, especially when flow separation is geometry-driven. Hybrid RANS-LES methods offer computational savings for attached boundary layers, but detailed validation for unsteady flows is needed.

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Area of Science:

  • Computational Fluid Dynamics
  • Aerodynamics Engineering
  • Turbulence Modeling

Background:

  • Large Eddy Simulation (LES) is increasingly applied in aerodynamic engineering.
  • Distinguishing between geometry-triggered and non-geometry-triggered flow separation is crucial for LES application.
  • Hybrid Reynolds-averaged Navier-Stokes (RANS)-LES methods are employed to balance accuracy and computational cost.

Purpose of the Study:

  • To provide an up-to-date survey of LES and related techniques in aerodynamics.
  • To present recent achievements and identify limitations in current LES applications.
  • To highlight the need for enhanced validation and uncertainty quantification in unsteady flow simulations.

Main Methods:

  • Review of recent landmark achievements in LES for aerodynamic applications.
  • Categorization of aerodynamic problems based on flow separation triggers.
  • Analysis of hybrid RANS-LES methods for attached boundary layer flows.
  • Examination of validation strategies for LES, focusing on time-averaged quantities.

Main Results:

  • LES is mature for geometry-driven separation; hybrid RANS-LES methods offer computational advantages for attached boundary layers.
  • Current validation often lacks detailed analysis of flow unsteadiness.
  • Hybrid RANS-LES methods do not significantly extend geometrical complexity or Reynolds number capabilities over classical LES.

Conclusions:

  • A clear need exists for detailed validation of LES, particularly concerning flow unsteadiness.
  • Uncertainty and error quantification are critical for future advancements in unsteady turbulent flow simulation.
  • Initial results on uncertainty modeling for unsteady turbulent flows are presented, paving the way for more robust simulations.