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

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8 Summary<br />

bulence, ª ù ·· ú ù ··yú namely ª ù ÔÔ ú ù ÔÔ:ú , ªIHJH , SªS·Ô , ûªSÔ· , ª ù ·Ô:ú ù ·$Ô ú , ª ù ··Ô ú ù ··Ô:ú , ª ù ·$ÔÔ ú ù ·ÔÔ ú , and<br />

ù ÔÙ¥Ùú ù ÔËÙ&Ùú shows that <strong>the</strong> width <strong>of</strong> <strong>the</strong> correlations at a particular value decreases in general<br />

ª<br />

ù ·· ú ù ·· ú ª ù ··$Ô ú ù ··Ô ú , see page 88 and<br />

ª<br />

with increasing complexity <strong>of</strong> <strong>the</strong> ªS··<br />

correlations<br />

89. This implies a decreasing importance <strong>of</strong> <strong>the</strong> higher order correlations and establishes <strong>the</strong><br />

simplifications usually applied in <strong>the</strong> <strong>for</strong>mulation <strong>of</strong> conservation equations <strong>for</strong> <strong>the</strong> Reynolds<br />

stresses.<br />

Chapter 6 illuminates <strong>the</strong> properties <strong>of</strong> <strong>the</strong> <strong>turbulent</strong> <strong>flow</strong> ª«§K%5®c¯ c at in stream-wise<br />

span-wise (ñ Ã planes -planes) located ¹&»L% ¥Ö>c ¥ÖØÂ at . This region is <strong>of</strong> primary interest<br />

according to chapter 5 because <strong>of</strong> <strong>the</strong> strong dynamic <strong>of</strong> <strong>the</strong> <strong>flow</strong> <strong>structures</strong> and <strong>the</strong> large<br />

production <strong>of</strong> turbulence. In order to obtain in<strong>for</strong>mation about <strong>the</strong> structural features <strong>of</strong> <strong>the</strong> <strong>coherent</strong><br />

<strong>structures</strong>, <strong>the</strong> size, shape and intensity <strong>of</strong> various spatial correlation, cross-correlation<br />

and conditional-correlation functions are examined in detail, see page 106 to 113. It is shown<br />

that <strong>the</strong> range <strong>of</strong> scales and span-wise periodicity <strong>of</strong> <strong>the</strong> <strong>coherent</strong> <strong>structures</strong> present in <strong>the</strong> <strong>flow</strong><br />

depends strongly on <strong>the</strong> wall-distance. <strong>The</strong> mean streak-spacing is 92 wall-units ¹¥»M% at<br />

when estimated from <strong>the</strong> conditional correlation, see page 108, and <strong>the</strong> span-wise size <strong>of</strong> <strong>the</strong><br />

stream-wise vortices associated with sweeps measures 27 to 53 wall units ¹ » % ¥Ö>c ¥ÖØÂ<br />

at<br />

while those associated with ejection are 35 to 42 wall units in size <strong>for</strong> <strong>the</strong> same wall locations,<br />

see page 107. However, <strong>the</strong> stream-wise size <strong>of</strong> <strong>the</strong>se vortices is short relative to <strong>the</strong> length<br />

<strong>of</strong> <strong>the</strong> low-speed streaks, and it seems that <strong>the</strong>se vortices are induced locally by <strong>the</strong> lift-up<br />

<strong>of</strong> low-speed streaks. This means that <strong>the</strong> stream-wise vortices which flank <strong>the</strong> low speed<br />

streaks are no primary vortices. <strong>The</strong>y are produced when <strong>the</strong> streaks move away from <strong>the</strong><br />

wall. <strong>The</strong> dynamics <strong>of</strong> <strong>the</strong> dominant <strong>structures</strong> is investigated by means <strong>of</strong> spatio-temporal<br />

correlation, cross-correlation and conditional correlations functions measured in spatially separated<br />

planes, see page 115 to 120. <strong>The</strong> conditional correlations yield in<strong>for</strong>mation about <strong>the</strong><br />

space-time structure <strong>of</strong> <strong>the</strong> bursting phenomenon and allows to estimate <strong>the</strong> mean convection<br />

velocity <strong>of</strong> <strong>the</strong> <strong>coherent</strong> velocity <strong>structures</strong> present in <strong>the</strong> near wall region. <strong>The</strong> analysis <strong>of</strong><br />

instantaneous velocity fields along with <strong>the</strong> probability density function <strong>of</strong> <strong>the</strong> Reynolds stress<br />

äŸã component on page 121 implies, that most <strong>of</strong> <strong>the</strong> production <strong>of</strong> turbulence is associated<br />

with low-speed streaks, but <strong>the</strong> magnitude <strong>of</strong> <strong>the</strong> instantaneous Reynolds stress äŸã<br />

component<br />

associated with streaks is relatively small, see page 123 and 124. <strong>The</strong> <strong>flow</strong> <strong>structures</strong> associated<br />

with large values Ý äŸã¾Ý <strong>of</strong> on <strong>the</strong> o<strong>the</strong>r hand are frequently hair-pin like, see page 125 to<br />

131. However, as <strong>the</strong> likelihood <strong>of</strong> <strong>the</strong>se <strong>structures</strong> is quite small relative to <strong>the</strong> lifting streaks,<br />

<strong>the</strong>y do not contribute to <strong>the</strong> total Reynolds stress to a large extend in <strong>the</strong> near wall region.<br />

<strong>The</strong> occurrence, intensity and main <strong>flow</strong> direction <strong>of</strong> <strong>the</strong> <strong>coherent</strong> <strong>structures</strong> is deduced from<br />

<strong>the</strong> analysis <strong>of</strong> <strong>the</strong> joint probability density function <strong>of</strong> <strong>the</strong> velocity fluctuations, see page 101<br />

to 104. It is shown that <strong>the</strong> largest <strong>flow</strong> (N<br />

¡u¿<br />

PO angles ) in wall-normal direction are usually<br />

associated with ejection and sweeps, see page 105. In order to identify <strong>the</strong> <strong>structures</strong> responsible<br />

<strong>for</strong> <strong>the</strong> characteristic velocity pattern observed in hot-wire investigations, <strong>the</strong> velocity<br />

structure <strong>of</strong> <strong>the</strong> PIV measurements were analysed in stream-wise direction <strong>for</strong> various spanwise<br />

locations, see page 132 and 133. It was shown that <strong>the</strong> characteristic velocity pattern<br />

identified with <strong>the</strong> single point probes is caused by low-speed streaks. This could be fur<strong>the</strong>r<br />

confirmed by comparing significant parameters with <strong>the</strong> results reported in <strong>the</strong> literature.<br />

Chapter 7 reveals <strong>the</strong> results measured in <strong>the</strong> wall-normal span-wise plane (¹¥Ã -plane) at<br />

ª«§/%`®c¯ c and 15000. Of primary interest was <strong>the</strong> spatio-temporal dependence <strong>of</strong> <strong>the</strong> various<br />

correlation functions and <strong>the</strong> validity <strong>of</strong> Taylor’s hypo<strong>the</strong>sis because <strong>the</strong> interpretation <strong>of</strong><br />

<strong>the</strong> results presented in chapter 6 was partially based on <strong>the</strong> assumption that <strong>the</strong> <strong>flow</strong> struc-<br />

166

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