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A Framework for the Assessment and Creation of Subgrid-Scale Models for Large-Eddy Simulation

  • Maurits H. SilvisEmail author
  • Ronald A. Remmerswaal
  • Roel Verstappen
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 196)

Abstract

We focus on subgrid-scale modeling for large-eddy simulation of incompressible turbulent flows. In particular, we follow a systematic approach that is based on the idea that subgrid-scale models should preserve fundamental properties of the Navier–Stokes equations and turbulent stresses. To that end, we discuss the symmetries and conservation laws of the Navier–Stokes equations, as well as the near-wall scaling, realizability and dissipation behavior of the turbulent stresses. Regarding each of these properties as a model constraint, we obtain a framework that can be used to assess existing and create new subgrid-scale models. We show that several commonly used velocity-gradient-based subgrid-scale models do not exhibit all the desired properties. Although this can partly be explained by incompatibilities between model constraints, we believe there is room for improvement in the properties of subgrid-scale models. As an example, we provide a new eddy viscosity model, based on the vortex stretching magnitude, that is successfully tested in large-eddy simulations of turbulent plane-channel flow.

Notes

Acknowledgements

The authors thankfully acknowledge Professor Martin Oberlack for stimulating discussions during several stages of this project. Professor Michel Deville is kindly acknowledged for sharing his insights relating to nonlinear subgrid-scale models and realizability. This work is part of the research programme Free Competition in the Physical Sciences with project number 613.001.212, which is financed by the Netherlands Organisation for Scientific Research (NWO).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Maurits H. Silvis
    • 1
    Email author
  • Ronald A. Remmerswaal
    • 1
  • Roel Verstappen
    • 1
  1. 1.University of GroningenGroningenThe Netherlands

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