An application of the stochastic estimation to the jet mixing layer

Daniel R. Cole, Mark N. Glauser, Yann G. Guezennec

Research output: Contribution to journalArticle

74 Scopus citations

Abstract

The linear stochastic estimation is a powerful technique that provides a means of estimating conditional eddies given unconditional two-point correlation data. This procedure was used to reconstruct estimates of multipoint conditional averages of the dominant structures in the jet mixing layer of Glauser and George (Proceedings of the Sixth Symposium on Turbulent Shear Flows, Toulouse, France, 1987). The pseudodynamic evolution of these conditional eddies was systematically compared to the instantaneous velocity fields and the results were quantified in terms of the percentage of the energy captured by the multipoint stochastic estimates. It was found that the single-point estimates do not yield adequate representations of the instantaneous velocity field, but that two reference points located on opposite sides of the shear layer yield realistic estimates, with little gained by adding more reference points.

Original languageEnglish (US)
Pages (from-to)192-194
Number of pages3
JournalPhysics of Fluids A
Volume4
Issue number1
DOIs
StatePublished - Jan 1 1992
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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