Book contents
- Frontmatter
- Contents
- Preface
- 1 Turbulent reacting flows
- 2 Statistical description of turbulent flow
- 3 Statistical description of turbulent mixing
- 4 Models for turbulent transport
- 5 Closures for the chemical source term
- 6 PDF methods for turbulent reacting flows
- 7 Transported PDF simulations
- Appendix A Derivation of the SR model
- Appendix B Direct quadrature method of moments
- References
- Index
4 - Models for turbulent transport
Published online by Cambridge University Press: 07 December 2009
- Frontmatter
- Contents
- Preface
- 1 Turbulent reacting flows
- 2 Statistical description of turbulent flow
- 3 Statistical description of turbulent mixing
- 4 Models for turbulent transport
- 5 Closures for the chemical source term
- 6 PDF methods for turbulent reacting flows
- 7 Transported PDF simulations
- Appendix A Derivation of the SR model
- Appendix B Direct quadrature method of moments
- References
- Index
Summary
This chapter is devoted to methods for describing the turbulent transport of passive scalars. The basic transport equations resulting from Reynolds averaging have been derived in earlier chapters and contain unclosed terms that must be modeled. Thus the available models for these terms are the primary focus of this chapter. However, to begin the discussion, we first review transport models based on the direct numerical simulation of the Navier–Stokes equation, and other models that do not require one-point closures. The presentation of turbulent transport models in this chapter is not intended to be comprehensive. Instead, the emphasis is on the differences between particular classes of models, and how they relate to models for turbulent reacting flow. A more detailed discussion of turbulent-flow models can be found in Pope (2000). For practical advice on choosing appropriate models for particular flows, the reader may wish to consult Wilcox (1993).
Direct numerical simulation
Direct numerical simulation (DNS) involves a full numerical solution of the Navier–Stokes equations without closures (Rogallo and Moin 1984; Givi 1989; Moin and Mahesh 1998). A detailed introduction to the numerical methods used for DNS can be found in Ferziger and Perić (2002). The principal advantage of DNS is that it provides extremely detailed information about the flow. For example, the instantaneous pressure at any point in the flow can be extracted from DNS, but is nearly impossible to measure experimentally. Likewise, Lagrangian statistics can be obtained for any flow quantity and used to develop new turbulence models based on Lagrangian PDF methods (Yeung 2002). The application of DNS to inhomogeneous turbulent flows is limited to simple ‘canonical’ flows at relatively modest Reynolds numbers.
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- Chapter
- Information
- Computational Models for Turbulent Reacting Flows , pp. 100 - 140Publisher: Cambridge University PressPrint publication year: 2003