Hybrid Modeling Technique for Large Eddy Simulations

  • F. Sarghini
  • S. Santini
Conference paper


In this paper a multilayer feed-forward neural network, previously offline trained, is used in substitution of a Bardina’ scale similar model- (BFR) [1] Sub-Grid Scale (SGS) model in Large Eddy Simulation of a channel flow at Re τ = 180. Results show the ability of neural networks to identify and reproduce the highly non-linear behavior of turbulent flows.


Large Eddy Simulation Reynolds Average Navier Stokes Reynolds Average Navier Stokes Subgrid Scale Turbulent Viscosity Coefficient 


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Copyright information

© Springer-Verlag Italia, Milan 2002

Authors and Affiliations

  • F. Sarghini
    • 1
  • S. Santini
    • 2
  1. 1.Departimento di Energetica. Termo-Fluidodinamica Applicata e Condizionamenti AmbientaliUniversità di Napoli “Federico II”NapoliItalia
  2. 2.Dipartimento di Informatica e SistemisticaUniversità di Napoli “Federico II”NapoliItalia

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