Literature DB >> 17519201

A deterministic model for the sublayer streaks in turbulent boundary layers for application to flow control.

Peter W Carpenter1, Karen L Kudar, Reza Ali, Pradeep K Sen, Christopher Davies.   

Abstract

We present a relatively simple, deterministic, theoretical model for the sublayer streaks in a turbulent boundary layer based on an analogy with Klebanoff modes. Our approach is to generate the streamwise vortices found in the buffer layer by means of a vorticity source in the form of a fictitious body force. It is found that the strongest streaks correspond to a spanwise wavelength that lies within the range of the experimentally observed values for the statistical mean streak spacing. We also present results showing the effect of streamwise pressure gradient, Reynolds number and wall compliance on the sublayer streaks. The theoretical predictions for the effects of wall compliance on the streak characteristics agree well with experimental data. Our proposed theoretical model for the quasi-periodic bursting cycle is also described, which places the streak modelling in context. The proposed bursting process is as follows: (i) streamwise vortices generate sublayer streaks and other vortical elements generate propagating plane waves, (ii) when the streaks reach a sufficient amplitude, they interact nonlinearly with the plane waves to produce oblique waves that exhibit transient growth, and (iii) the oblique waves interact nonlinearly with the plane wave to generate streamwise vortices; these in turn generate the sublayer streaks and so the cycle is renewed.

Year:  2007        PMID: 17519201     DOI: 10.1098/rsta.2007.2016

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  1 in total

1.  Transitional-turbulent spots and turbulent-turbulent spots in boundary layers.

Authors:  Xiaohua Wu; Parviz Moin; James M Wallace; Jinhie Skarda; Adrián Lozano-Durán; Jean-Pierre Hickey
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

  1 in total

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