Application of a New Hybrid RANS/LES Modeling Paradigm to Compressible Flow

ORAL

Abstract

It is well-known that traditional hybrid RANS/LES modeling approaches suffer from a number of deficiencies. These deficiencies often stem from overly simplistic blending strategies based on scalar measures of turbulence length scale and grid resolution and from use of isotropic subgrid models in LES regions. A recently developed hybrid modeling approach has shown promise in overcoming these deficiencies in incompressible flows [Haering, 2015]. In the approach, RANS/LES blending is accomplished using a hybridization parameter that is governed by an additional model transport equation and is driven to achieve equilibrium between the resolved and unresolved turbulence for the given grid. Further, the model uses an tensor eddy viscosity that is formulated to represent the effects of anisotropic grid resolution on subgrid quantities. In this work, this modeling approach is extended to compressible flows and implemented in the compressible flow solver SU2 (http://su2.stanford.edu/). We discuss both modeling and implementation challenges and show preliminary results for compressible flow test cases with smooth wall separation.

Authors

  • Todd Oliver

    The University of Texas at Austin, Univ of Texas, Austin, Institute for Computational Engineering and Sciences, UT-Austin

  • Clark Pederson

    The University of Texas at Austin, Univ of Texas, Austin

  • Sigfried Haering

    Univ of Texas, Austin

  • Robert Moser

    The University of Texas at Austin, University of Texas at Austin, Institute for Computational Engineering and Sciences, The University of Texas at Austin, Univ of Texas, Austin, Institute for Computational Engineering and Sciences, UT-Austin