Skip to main content

Implicit LES of Passive-Scalar Mixing in a Confined Rectangular-Jet Reactor

  • Conference paper
High Performance Computing in Science and Engineering '08
  • 1207 Accesses

Summary

Recently, the implicit SGS modeling environment provided by the Adaptive Local Deconvolution Method (ALDM) has been extended to Large-Eddy Simulations (LES) of passive-scalar transport. The resulting adaptive advection algorithm has been described and discussed with respect to its numerical and turbulence-theoretical background by Hickel et al., 2007. Results demonstrate that this method allows for reliable predictions of the turbulent transport of passive-scalars in isotropic turbulence and in turbulent channel flow for a wide range of Schmidt numbers. We now intend to use this new method to perform LES of a confined rectangular-jet reactor and compare obtained results to experimental data available in the literature.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. H. Feng. Experimental study of turbulent mixing in a rectangular reactor. PhD thesis, Iowa State University, Ames, Iowa, 2006.

    Google Scholar 

  2. H. Feng, M.G. Olsen, Y. Liu, R.O. Fox, and J.C. Hill. Investigation of turbulent mixing in a confined planar-jet reactor. AIChE J., 51:2649–2664, 2005.

    Article  Google Scholar 

  3. A. Leonard. Energy cascade in large eddy simulations of turbulent fluid flows. Adv. Geophys., 18A:237–248, 1974.

    Google Scholar 

  4. S. Ghosal. An analysis of numerical errors in large-eddy simulations of turbulence. J. Comput. Phys., 125:187–206, 1996.

    Article  MATH  MathSciNet  Google Scholar 

  5. F.F. Grinstein and C. Fureby. From canonical to complex flows: Recent progress on monotonically integrated LES. Comp. Sci. Eng., 6:36–49, 2004.

    Article  Google Scholar 

  6. C.-W. Shu. Essentially non-oscillatory and weighted essentially non-oscillatory schemes for hyperbolic conservation laws. Tech. Rep. 97-65, ICASE, NASA Langley Research Center, Hampton, Virginia, 1997.

    Google Scholar 

  7. G. Batchelor. Small-scale variation of convected quantities like temperature in turbulent fluid. Part 1. general discussion and the case of small conductivity. J. Fluid Mech., 5:113–133, 1959.

    Article  MATH  MathSciNet  Google Scholar 

  8. S. Corssin. On the spectrum of isotropic temperature fluctuations in an isotropic turbulence. J. Appl. Phys., 22(4):469–473, 1951.

    Article  MathSciNet  Google Scholar 

  9. G. Batchelor, I. Howells, and A. Townsend. Small-scale variation of convected quantities like temperature in turbulent fluid. Part 2. the case of large conductivity. J. Fluid Mech., 5:134–139, 1959.

    Article  MATH  MathSciNet  Google Scholar 

  10. R. Kraichnan. Small-scale structure of a scalar field convected by turbulence. Phys. Fluids, 11:945–953, 1968.

    Article  MATH  MathSciNet  Google Scholar 

  11. P. Yeung, S. Xu, and K. Sreenivasan. Schmidt number effects on turbulent transport with uniform mean scalar gradient. Phys. Fluids, 14(12):4178–4191, 2002.

    Article  Google Scholar 

  12. S. Hickel, N.A. Adams, and N.N. Mansour. Implicit subgrid-scale modeling for large-eddy simulation of passive-scalar mixing. Phys. Fluids, 19:095102, 2007.

    Article  Google Scholar 

  13. C.-W. Shu. Total-variation-diminishing time discretizations. SIAM J. Sci. Stat. Comput., 9(6):1073–1084, 1988.

    Article  MATH  Google Scholar 

  14. H.A. van der Vorst. Bi-CGSTAB: A fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems. SIAM J. Sci. Statist. Comput., 13:631–644, 1992.

    Article  MATH  MathSciNet  Google Scholar 

  15. S. Hickel and N.A. Adams. Efficient implementation of nonlinear deconvolution methods for implicit large-eddy simulation. In W.E. Nagel, W. Jäger, and M. Resch, editors, High Performance Computing in Science and Engineering, pages 293–306. Springer, 2006.

    Google Scholar 

  16. S. Hickel and N.A. Adams. On implicit subgrid-scale modeling in wall-bounded flows. Phys. Fluids, 19:105106, 2007.

    Article  Google Scholar 

  17. S. Hickel and N.A. Adams. Large-eddy simulation of turbulent boundary-layer separation. In 5th International Symposium on Turbulence and Shear Flow Phenomena (TSFP5); Munich, Germany, 2007.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Wolfgang E. Nagel Dietmar B. Kröner Michael M. Resch

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Devesa, A., Hickel, S., Adams, N.A. (2009). Implicit LES of Passive-Scalar Mixing in a Confined Rectangular-Jet Reactor. In: Nagel, W.E., Kröner, D.B., Resch, M.M. (eds) High Performance Computing in Science and Engineering '08. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88303-6_19

Download citation

Publish with us

Policies and ethics