Skip to main content

Realizable Dynamic Large Eddy Simulation

  • Conference paper
  • First Online:
Direct and Large-Eddy Simulation XI

Part of the book series: ERCOFTAC Series ((ERCO,volume 25))

Abstract

A very attractive feature of large eddy simulation (LES) is the possibility to apply the dynamic subgrid scale model calculation developed by Germano et al. Phys. Fluids A 3:1760–1765, 1991, [1]. This is a method for the calculation of model parameters as functions of time and space as the simulation progresses. It avoids empirical treatment of model parameters such as damping or wall modeling near the wall boundaries. On the other hand, dynamic LES models usually suffer from instabilities. The mechanism of instability of dynamic sub-grid scale (SGS) models has not yet been fully clarified. Several methods are in use for the stabilization of dynamic SGS models. The most popular methods are clipping of model parameters and their space averaging in homogeneous directions. These stabilization techniques are often difficult or even impossible to apply. In real flows, there are no homogeneous directions in space. It is also difficult to find appropriate clipping values for dynamic LES parameters, which can depend on the type of flow, Reynolds number and grid resolution.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Germano, M., Piomelli, U., Moin, P., Cabot, W.H.: A dynamic sub grid-scale eddy viscosity model. Phys. Fluids A 3, 1760–1765 (1991)

    Article  Google Scholar 

  2. Heinz, S.: Realizability of dynamic subgrid-scale stress models via stochastic analysis. Monte Carlo Methods Appl. 14, 311–329 (2008)

    Article  MathSciNet  Google Scholar 

  3. Heinz, S., Gopalan, H.: Realizable versus non-realizable dynamic subgrid-scale stress models. Phys. Fluids 24, 115105 (2012)

    Article  Google Scholar 

  4. Gopalan, H., Heinz, S., Stoellinger, M.: A unified RANS-LES model: computational development, accuracy and cost. J. Comput. Phys. 249, 249–274 (2013)

    Article  MathSciNet  Google Scholar 

  5. Kazemi, E., Heinz, S.: Dynamic large eddy simulations of the Ekman layer based on stochastic analysis. Int. J. Nonlinear Sci. Numer. Simul. 17, 77–98 (2016)

    Article  MathSciNet  Google Scholar 

  6. Girimaji, S.S.: A new perspective on realizability of turbulence models. J. Fluid Mech. 512, 191–210 (2004)

    Article  MathSciNet  Google Scholar 

  7. Heinz, S.: On Fokker-Planck equations for turbulent reacting flows. Part 2. Filter density function for large eddy simulation. Flow Turbul. Combust. 70, 153–181 (2003)

    Article  Google Scholar 

  8. Heinz, S.: Statistical Mechanics of Turbulent Flows. Springer, Berlin (2003)

    Book  Google Scholar 

  9. Heinz, S.: A dynamic nonlinear subgrid-scale stress model. Phys. Fluids 17, 099101 (2005)

    Article  MathSciNet  Google Scholar 

  10. Heinz, S.: Unified turbulence models for LES and RANS, FDF and PDF simulations. Theor. Comput. Fluid Dyn. 21, 99–118 (2007)

    Article  Google Scholar 

  11. Vreman, B., Geurts, B., Kuerten, H.: Realizability conditions for the turbulent stress tensor in large-eddy simulation. J. Fluid Mech. 278, 351–362 (1994)

    Article  Google Scholar 

  12. Mokhtarpoor, R.S., Heinz, S., Stoellinger, M.: Dynamic unified RANS-LES simulations of high Reynolds number separated flows. Phys. Fluids 28, 095101 (2016)

    Article  Google Scholar 

  13. Advanced Research Computing Center. Mount Moran: IBM System X cluster. Laramie, WY: University of Wyoming, http://n2t.net/ark:/85786/m4159c. Accessed 25 June 2017

  14. Computational and Information Systems Laboratory. Yellowstone: IBM iDataPlex System (Wyoming-NCAR Alliance). Boulder, CO: National Center for Atmospheric Research, http://n2t.net/ark:/85065/d7wd3xhc. Accessed 25 June 2017

Download references

Acknowledgements

The authors would like to acknowledge support through NASA’s NRA research opportunities in aeronautics program (Grant No. NNX12AJ71A) and support from the National Science Foundation (DMS-CDS&E-MSS, Grant No. 1622488). We are very thankful for computational resources provided by the Wyoming Advanced Research Computing Center [13] and the Wyoming-NCAR Alliance [14].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Heinz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mokhtarpoor, R., Heinz, S., Stoellinger, M.K. (2019). Realizable Dynamic Large Eddy Simulation. In: Salvetti, M., Armenio, V., Fröhlich, J., Geurts, B., Kuerten, H. (eds) Direct and Large-Eddy Simulation XI. ERCOFTAC Series, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-04915-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-04915-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04914-0

  • Online ISBN: 978-3-030-04915-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics