Skip to main content
Log in

Multi-layer analytic solution for k-ω model equations via a symmetry approach

  • Published:
Applied Mathematics and Mechanics Aims and scope Submit manuscript

Abstract

Despite being one of the oldest and most widely-used turbulence models in engineering computational fluid dynamics (CFD), the k-ω model has not been fully understood theoretically because of its high nonlinearity and complex model parameter setting. Here, a multi-layer analytic expression is postulated for two lengths (stress and kinetic energy lengths), yielding an analytic solution for the k-ω model equations in pipe flow. Approximate local balance equations are analyzed to determine the key parameters in the solution, which are shown to be rather close to the empirically-measured values from the numerical solution of the Wilcox k-ω model, and hence the analytic construction is fully validated. The results provide clear evidence that the k-ω model sets in it a multilayer structure, which is similar to but different, in some insignificant details, from the Navier-Stokes (N-S) turbulence. This finding explains why the k-ω model is so popular, especially in computing the near-wall flow. Finally, the analysis is extended to a newly-refined k-ω model called the structural ensemble dynamics (SED) k-ω model, showing that the SED k-ω model has improved the multi-layer structure in the outer flow but preserved the setting of the k-ω model in the inner region.

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

Access this article

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

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. SLOTNICK, J., KHODADOUST, A., ALONSO, J., DARMOFAL, D., GROPP, W., LURIE, E., and MACEIPLIS, D. CFD vision 2030 study: a path to revolutionary computational aerosciences. Mchenry County Natural Hazards Mitigation Plan, NASA/CR-2014-218178 (2014)

  2. WILCOX, D. C. Turbulence Modeling for CFD, 3rd ed., DCW Industries, California, 124–128 (2006)

    Google Scholar 

  3. SPALART, P. Turbulence. Are we getting smarter? 36th Fluid Dynamics Conference and Exhibit, San Francisco, CA (2006)

  4. KOLMOGOROV, A. N. The equation of turbulent motion in an incompressible viscous fluid. Doklady Akademii Nauk Sssr, VI, 56–58 (1942)

    Google Scholar 

  5. SAFFMAN, P. G. A model for inhomogeneous turbulent flow. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, A317, 417–433 (1970)

    MATH  Google Scholar 

  6. LAUNDER, B. E. and SPALDING, D. B. Mathematical Models of Turbulence, Academic Press, Landon (1972)

    MATH  Google Scholar 

  7. MENTER, F. R. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA Journal, 32(8), 1598–1605 (1994)

    Article  Google Scholar 

  8. SHE, Z. S., CHEN, X., and HUSSAIN, F. Quantifying wall turbulence via a symmetry approach: a Lie group theory. Journal of Fluid Mechanics, 827, 322–356 (2017)

    Article  MATH  Google Scholar 

  9. CHEN, X., HUSSAIN, F., and SHE, Z. S. Quantifying wall turbulence via a symmetry approach, part 2: Reynolds stresses. Journal of Fluid Mechanics, 850, 401–438 (2018)

    Article  MATH  Google Scholar 

  10. XIAO, M. J. and SHE Z. S. Symmetry-based description of laminar-turbulent transition. Science China Physics, Mechanics and Astronomy, 62(9), 994711 (2019)

    Article  Google Scholar 

  11. LIU, F., FANG, L., and FANG, J. Non-equilibrium turbulent phenomena in transitional flat plate boundary-layer flows. Applied Mathematics and Mechanics (English Edition), 42(4), 567–582 (2021) https://doi.org/10.1007/s10483-021-2728-9

    Article  Google Scholar 

  12. CHEN, X., HUSSAIN, F., and SHE, Z. S. Predictions of canonical wall-bounded turbulent flows via a modified equation. Journal of Turbulence, 18(1), 1–35 (2017)

    Article  Google Scholar 

  13. YE, M. S. and DONG, M. Near-wall behaviors of oblique-shock-wave/turbulent-boundary-layer interactions. Applied Mathematics and Mechanics (English Edition), 38(10), 1357–1376 (2017) https://doi.org/10.1007/s10483-017-2248-6

    Article  Google Scholar 

  14. WU, X. H. and MOIN, P. A direct numerical simulation study on the mean velocity characteristics in turbulent pipe flow. Journal of Fluid Mechanics, 608, 81–112 (2008)

    Article  MATH  Google Scholar 

  15. ZAGAROLA, M. V. and SMITS, A. J. Mean-flow scaling of turbulent pipe flow. Journal of Fluid Mechanics, 372, 33–79 (1998)

    Article  MATH  Google Scholar 

  16. HULTMARK, M., VALLIKIKV, M., BAILEY, S. C. C., and SMITS, A. J. Turbulent pipe flow at extreme Reynolds numbers. Physical Review Letters, 108, 094502 (2012)

    Article  Google Scholar 

  17. WU, Y., CHEN, X., SHE, Z. S., and HUSSAIN, F. On the Karman constant in turbulent channel flow. Physica Scripta, 2013, 014009 (2013)

    Article  Google Scholar 

  18. CHEN, X., WEI, B. B., HUSSAIN, F., and SHE, Z. S. Anomalous dissipation and kinetic-energy distribution in pipes at very high Reynolds numbers. Physical Review E, 93, 011102 (2015)

    Article  Google Scholar 

  19. XIAO, M. J. and SHE, Z. S. Precise drag prediction of airfoil flows by a new algebraic model. Acta Mechanica Sinica, 36(1), 35–43 (2020)

    Article  Google Scholar 

  20. BI, W. T., WEI, Z., ZHENG, K. X., and SHE, Z. S. A symmetry-based length model for characterizing the hypersonic boundary layer transition on a slender cone at moderate incidence. Advances in Aerodynamics, 4, 1–23 (2022)

    Article  Google Scholar 

  21. SHE, Z. S., ZOU, H. Y., XIAO, M. J., CHEN, X., and HUSSAIN, F. Prediction of compressible turbulent boundary layer via a symmetry-based length model. Journal of Fluid Mechanics, 857, 449–468 (2018)

    Article  MATH  Google Scholar 

  22. SHE, Z. S., WU, Y., CHEN, X., and HUSSAIN, F. A multi-state description of roughness effects in turbulent pipe flow. New Journal of Physics, 14, 093054 (2012)

    Article  Google Scholar 

  23. JI, Y. and SHE, Z. S. Analytic derivation of Monin-Obukhov similarity function for open atmospheric surface layer. Science China Physics, Mechanics and Astronomy, 64(3), 34711 (2021)

    Article  Google Scholar 

  24. LI, R. and SHE, Z. S. Emergent mesoscopic quantum vortex and Planckian dissipation in the strange metal phase. New Journal of Physics, 23(4), 043050 (2021)

    Article  Google Scholar 

  25. LI, R. and SHE, Z. S. Unified energy law for fluctuating density wave orders in cuprate pseudogap phase. Communications Physics, 5(1), 13 (2022)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhensu She.

Additional information

Citation

TANG, F., BI, W. T., and SHE, Z. S. Multi-layer analytic solution for k-ω model equations via a symmetry approach. Applied Mathematics and Mechanics (English Edition), 44(2), 289–306 (2023) https://doi.org/10.1007/s10483-023-2957-7

Project supported by the National Numerical Wind Tunnel (No. NNW2019ZT1-A03) and the National Natural Science Foundation of China (Nos. 91952201, 11372008, and 11452002)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tang, F., Bi, W. & She, Z. Multi-layer analytic solution for k-ω model equations via a symmetry approach. Appl. Math. Mech.-Engl. Ed. 44, 289–306 (2023). https://doi.org/10.1007/s10483-023-2957-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10483-023-2957-7

Key words

Chinese Library Classification

2010 Mathematics Subject Classification