Skip to main content
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 51
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Theunissen, Raf Housley, Paul Allen, Christian B. and Carey, Charles 2015. Experimental verification of computational predictions in power generation variation with layout of offshore wind farms. Wind Energy, Vol. 18, Issue. 10, p. 1739.

    Spedding, Geoffrey R. 2014. Wake Signature Detection. Annual Review of Fluid Mechanics, Vol. 46, Issue. 1, p. 273.

    Thiesset, F. Schaeffer, V. Djenidi, L. and Antonia, R. A. 2014. On self-preservation and log-similarity in a slightly heated axisymmetric mixing layer. Physics of Fluids, Vol. 26, Issue. 7, p. 075106.

    Thiesset, F. Antonia, R. A. and Danaila, L. 2013. Scale-by-scale turbulent energy budget in the intermediate wake of two-dimensional generators. Physics of Fluids, Vol. 25, Issue. 11, p. 115105.

    George, William K. 2012. Asymptotic Effect of Initial and Upstream Conditions on Turbulence. Journal of Fluids Engineering, Vol. 134, Issue. 6, p. 061203.

    Rind, Elad and Castro, Ian P. 2012. On the effects of free-stream turbulence on axisymmetric disc wakes. Experiments in Fluids, Vol. 53, Issue. 2, p. 301.

    Zhang, Zhenkuan Kenny and Chua, Leok Poh 2012. Mixing due to a heated elliptic air jet. International Journal of Heat and Mass Transfer, Vol. 55, Issue. 17-18, p. 4566.

    Biau, Damien 2011. Exact self-similar solutions for axisymmetric wakes. Comptes Rendus Mécanique, Vol. 339, Issue. 4, p. 245.

    Hunt, J. C. R. Eames, I. da Silva, C. B. and Westerweel, J. 2011. Interfaces and inhomogeneous turbulence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369, Issue. 1937, p. 811.

    de Stadler, Matthew B. Sarkar, Sutanu and Brucker, Kyle A. 2010. Effect of the Prandtl number on a stratified turbulent wake. Physics of Fluids, Vol. 22, Issue. 9, p. 095102.

    Faber, Tristan and Vassilicos, J. C. 2010. Acceleration-based classification and evolution of fluid flow structures in two-dimensional turbulence. Physical Review E, Vol. 82, Issue. 2,

    Maderich, V and Konstantinov, S 2010. Asymptotic and numerical analysis of momentumless turbulent wakes. Fluid Dynamics Research, Vol. 42, Issue. 4, p. 045503.

    Mazellier, N. and Vassilicos, J. C. 2010. Turbulence without Richardson–Kolmogorov cascade. Physics of Fluids, Vol. 22, Issue. 7, p. 075101.

    Thacker, A. Loyer, S. and Aubrun, S. 2010. Comparison of turbulence length scales assessed with three measurement systems in increasingly complex turbulent flows. Experimental Thermal and Fluid Science, Vol. 34, Issue. 5, p. 638.

    Thorne, Meghan L. Poepping, Tamie L. Nikolov, Hristo N. Rankin, Richard N. Steinman, David A. and Holdsworth, David W. 2009. In Vitro Doppler Ultrasound Investigation of Turbulence Intensity in Pulsatile Flow With Simulated Cardiac Variability. Ultrasound in Medicine & Biology, Vol. 35, Issue. 1, p. 120.

    Diamessis, P.J. Lin, Y.C. and Domaradzki, J.A. 2008. Effective numerical viscosity in spectral multidomain penalty method-based simulations of localized turbulence. Journal of Computational Physics, Vol. 227, Issue. 17, p. 8145.

    Rinoshika, Akira and Zhou, Yu 2007. Effects of initial conditions on wavelet-decomposed structures in a turbulent far-wake. International Journal of Heat and Fluid Flow, Vol. 28, Issue. 5, p. 948.

    Medici, D. and Alfredsson, P. H. 2006. Measurements on a wind turbine wake: 3D effects and bluff body vortex shedding. Wind Energy, Vol. 9, Issue. 3, p. 219.

    Meunier, Patrice Diamessis, Peter J. and Spedding, Geoffrey R. 2006. Self-preservation in stratified momentum wakes. Physics of Fluids, Vol. 18, Issue. 10, p. 106601.

    Zhou, T. Rinoshika, A. Hao, Z. Zhou, Y. and Chua, L. P. 2006. Wavelet multiresolution analysis of the three vorticity components in a turbulent far wake. Physical Review E, Vol. 73, Issue. 3,


Turbulence memory in self-preserving wakes

  • Paul M. Bevilaqua (a1) (a2) and Paul S. Lykoudis (a1) (a3)
  • DOI:
  • Published online: 01 April 2006

The persistence of the large vortices formed at the origin of wakes and mixing layers constitutes a kind of memory of initial conditions by the turbulence. In order to study the fading of this turbulence memory, and its effect on the rate of approach to the fully developed state, two wakes with different initial conditions have been examined experimentally. The wake of a sphere was compared with the wake of a porous disk which had the same drag, but did not exhibit vortex shedding. Measurements were made of the mean and fluctuating velocities, the anisotropy of the turbulence, and the intermittency. It was found that the wake of the sphere developed self-preserving behaviour more rapidly than the wake of the disk, and that even after both wakes became self-preserving there were differences between them in the structure of the turbulence and the scale of the mean flow. From this it is concluded that the behaviour of self-preserving wakes does not depend on the drag alone, but also on the structure of the dominant eddies. Generalizing these results, it is suggested that reported differences in the value of the entrainment constant of jets, wakes, and mixing layers are due to differences in the structure of the dominant eddies, rather than differences in the type of flow.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Journal of Fluid Mechanics
  • ISSN: 0022-1120
  • EISSN: 1469-7645
  • URL: /core/journals/journal-of-fluid-mechanics
Please enter your name
Please enter a valid email address
Who would you like to send this to? *