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The significance of coherent flow structures for the turbulent mixing ...

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5.3.2 Spatial auto- and cross-correlation functions<br />

5.3 Statistical properties <strong>of</strong> <strong>the</strong> <strong>flow</strong><br />

It is obvious that <strong>the</strong> single point statistics, presented in <strong>the</strong> previous section, do not cover<br />

any aspects associated with <strong>the</strong> organised <strong>flow</strong> motion outlined in chapter 1. However, it is<br />

shown in section 5.1 that <strong>for</strong> <strong>the</strong> <strong>turbulent</strong> <strong>mixing</strong> in wall-bounded <strong>flow</strong>s this <strong>coherent</strong> motion<br />

must be <strong>of</strong> primary importance. This can be deduced from <strong>the</strong> presence <strong>of</strong> <strong>the</strong> single point<br />

correlations terms · ¬ , ³ ¬ and especially Î · ³ in equation (5.8). For this reason <strong>the</strong> spatial<br />

correlations <strong>of</strong> <strong>the</strong> velocity fluctuations, introduced in section 5.1, will be investigated in this<br />

section. <strong>The</strong> investigation <strong>of</strong> <strong>the</strong> spatial correlations <strong>of</strong> <strong>the</strong> velocity fluctuations furnishes<br />

quantitative in<strong>for</strong>mation about <strong>the</strong> average dimensions <strong>of</strong> <strong>the</strong> <strong>turbulent</strong> <strong>flow</strong> <strong>structures</strong> and<br />

allows to deduce several length and time scales with physical meaning such as <strong>the</strong> dissipation<br />

or <strong>the</strong> integral length scales, which play a dominant role in <strong>the</strong> transport equations derived<br />

in [90]. However, due to <strong>the</strong> anisotropic nature <strong>of</strong> wall-bounded <strong>flow</strong>s according to figure 5.3,<br />

<strong>the</strong> length scales are not uniquely defined as in <strong>the</strong> case <strong>of</strong> isotropic turbulence. In addition,<br />

it should be kept in mind that <strong>the</strong> general investigation <strong>of</strong> <strong>the</strong> correlation function might be<br />

quite complex in shear-<strong>flow</strong>s because this function depends on <strong>the</strong> <strong>flow</strong> variables considered,<br />

as well as <strong>the</strong>ir mutual location, separation and time delay. For simplicity, only <strong>the</strong> primary<br />

spatial correlations ¼ÐÏ'Ï , ¼ÐÑÑ and ¼ÐÒHÒ <strong>of</strong> <strong>the</strong> velocity fluctuation will be considered in <strong>the</strong><br />

following, along with some double and triple correlations which are important <strong>for</strong> <strong>the</strong> <strong>turbulent</strong><br />

<strong>mixing</strong> according to equation (5.20). <strong>The</strong> dependence <strong>of</strong> <strong>the</strong> primary correlations in a <strong>turbulent</strong><br />

boundary layer along <strong>the</strong> three coordinates was extensively investigated by Grant in 1958 by<br />

mm. ”Œ”<br />

using a pair <strong>of</strong> hot-wire Ó probes m behind a trip fence »Ô Á4‘ÕÓz” at m/s Ö and<br />

Although he could confirm <strong>the</strong> high degree <strong>of</strong> order present in <strong>the</strong> <strong>flow</strong> field by analysing <strong>the</strong><br />

large-scale dependence <strong>of</strong> various correlations along <strong>the</strong> principle coordinates, he was <strong>for</strong>ced<br />

to conclude that <strong>the</strong> various correlations are incompatible with <strong>the</strong> idea <strong>of</strong> energetic eddy<br />

<strong>structures</strong> convecting downstream. Since it is impossible to predict a unique set <strong>of</strong> vortical<br />

<strong>structures</strong> from <strong>the</strong> correlations, <strong>the</strong> motivation <strong>for</strong> this conclusion was based on <strong>the</strong> different<br />

size <strong>of</strong> <strong>the</strong> primary correlations in stream-wise direction and <strong>the</strong> small extend ¼ÐÑÑ <strong>of</strong> along<br />

<strong>the</strong> span-wise one. However, due to <strong>the</strong> small Ö thickness <strong>of</strong> <strong>the</strong> boundary layer, it is not<br />

yet evident if this strong difference in <strong>the</strong> various correlations is a real shear-<strong>flow</strong> property or<br />

maybe caused by <strong>the</strong> entraining motions, which do not belong to <strong>the</strong> main turbulence structure.<br />

For this reason <strong>the</strong> present investigation focuses on <strong>the</strong> functional dependence <strong>of</strong> <strong>the</strong> spatial<br />

correlations in <strong>the</strong> near-wall region and <strong>the</strong>ir variation with <strong>the</strong> Reynolds number. Of particular<br />

interest is <strong>the</strong> correlation in <strong>the</strong> vicinity <strong>of</strong> <strong>the</strong> maximum, as this in<strong>for</strong>mation is difficult to<br />

achieve by using intrusive measurement techniques because <strong>the</strong> signal from a single probe is<br />

affected by approaching <strong>the</strong> second probe and <strong>the</strong> values along <strong>the</strong> stream-wise axis is biased<br />

because <strong>the</strong> measurement values <strong>of</strong> <strong>the</strong> down-stream probe are affected by <strong>the</strong> wake <strong>of</strong> <strong>the</strong><br />

upstream probe as pointed out in [24, 100].<br />

In <strong>the</strong> following <strong>the</strong> size and shape <strong>of</strong> <strong>the</strong> primary correlation functions will be analysed<br />

because <strong>the</strong>se values furnish <strong>the</strong> in<strong>for</strong>mation about <strong>the</strong> average dimensions <strong>of</strong> <strong>the</strong> moving <strong>flow</strong><br />

<strong>structures</strong>, <strong>the</strong>ir degree <strong>of</strong> organisation and <strong>the</strong>ir propagation direction relative to <strong>the</strong> mean<br />

motion. This becomes obvious when figure 5.5 and figure 5.6 are considered which reveal <strong>the</strong><br />

primary correlation <strong>of</strong> <strong>the</strong> stream-wise velocity fluctuations <strong>for</strong> various wall distances <strong>of</strong> <strong>the</strong><br />

fixed point (compare location <strong>of</strong> <strong>the</strong> maximum or ÄHÅ <strong>the</strong> value in <strong>the</strong> legend) ¼× ÂŒz<br />

at<br />

and 15000. <strong>The</strong> contours <strong>of</strong> <strong>the</strong> following plots are spaced in intervals <strong>of</strong> 0.05 <strong>for</strong> <strong>the</strong> primary<br />

correlation (excluding 0.05 and 1) and <strong>the</strong> position and amplitude <strong>of</strong> <strong>the</strong> minimum and maximum<br />

are included <strong>for</strong> comparison. Continuous lines indicate positive correlation. Clearly<br />

½V¾}À<br />

79

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