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Conditional statistics for passive-scalar mixing in a confined rectangular turbulent jet
Author(s) -
H. Q. Feng,
Michael G. Olsen,
Rodney O. Fox,
James C. Hill
Publication year - 2007
Publication title -
physics of fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 180
eISSN - 1089-7666
pISSN - 1070-6631
DOI - 10.1063/1.2718580
Subject(s) - physics , scalar (mathematics) , probability density function , turbulence , particle image velocimetry , joint probability distribution , gaussian , conditional expectation , classical mechanics , statistics , mechanics , mathematical analysis , geometry , quantum mechanics , mathematics
Experimental results for the conditional statistics, such as the velocity conditioned on a conserved scalar and the scalar conditioned on velocity, in a confined liquid-phase rectangular jet are presented and analyzed for a data set collected using simultaneous particle image velocimetry and planar laser-induced fluorescence. The joint velocity-scalar probability density function (PDF) is not joint Gaussian in this flow, as the PDF of the conserved scalar is accurately described by a beta-PDF. The conditional mean velocity is found to agree with a linear model when the scalar is close to its local mean value. A gradient PDF model is found to give poor predictions for the streamwise conditional velocity. However, the improved gradient PDF model predicts both the streamwise and transverse conditional velocities well. A linear model for the scalar fluctuation conditioned on velocity is also tested against the experimental data, showing that this model only obtains good approximations when the joint velocity-...

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