Abstract
Recently accumulated evidence emphasizes the role of coherent, quasi-ordered structures in transport processes of a turbulent shear flow. Statistically, the presence of these structures is manifested as intermittency of the signals of fluctuating quantities leading to departures from gaussianity. This paper presents the results of a conventional statistical analysis of velocity and temperature fluctuations in the wall layers of a channel flow. The results indicate the presence of at least two intermittent phases—inrushes towards the wall and ejections outwards—superimposed on the background turbulence. A conditional sampling and averaging technique, aiming at the detection of the two intermittent phases, is presented. The results demonstrate that the evolution of the probability density distributions in the wall layers could well be explained by the statistical behavior of the intermittent phases.
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