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

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6 Investigation <strong>of</strong> <strong>the</strong> xz-plane<br />

<strong>The</strong> left plot <strong>of</strong> <strong>the</strong> centre row <strong>of</strong> figure 6.7 reveals Äê Ñ¡ë3ìÌí ê Ñ¡ë3ìÌí <strong>the</strong> correlations, denoted by<br />

êïî Ñí êïî Ñí <strong>for</strong> simplicity, and <strong>the</strong> right plot shows <strong>the</strong> associated correlation <strong>of</strong> <strong>the</strong> positive and<br />

Ã<br />

negative wall-normal fluctuations in <strong>the</strong> particular regions § where is negative. <strong>The</strong> <strong>coherent</strong><br />

velocity regions selected in this way show nearly <strong>the</strong> same functional dependence around <strong>the</strong><br />

maximum (down to correlation values <strong>of</strong> 0.2 à êïî Ñí êïî Ñí <strong>for</strong> and nearly zero ÃËÛË ¹ §zºðÀ¼ <strong>for</strong> ),<br />

which indicates a high degree <strong>of</strong> coherence in wall-normal direction. When ÃËÌË ¹ §-ºñÀ¼<br />

<strong>the</strong><br />

correlation is considered <strong>the</strong> value <strong>of</strong> <strong>the</strong> minimum increases with increasing wall distance.<br />

This is completely different when only <strong>the</strong> correlations <strong>of</strong> <strong>the</strong> wall-normal fluctuations are<br />

calculated which can be measured in regions where <strong>the</strong> stream-wise velocity fluctuations are<br />

larger than <strong>the</strong> mean velocity, ÃËÛË ¹ §-½ðÀ¼ e.g. as shown in <strong>the</strong> lower right plot <strong>of</strong> <strong>the</strong> same<br />

figure. In this case <strong>the</strong> value <strong>of</strong> <strong>the</strong> minimum decreases with increasing wall distance. <strong>The</strong><br />

symbol explanation <strong>of</strong> ÃËÛË ¹ §òºóÀ¼ <strong>the</strong> ÃËÌË ¹ §ô½¤À¼ and correlations in <strong>the</strong> figures indicates that<br />

<strong>the</strong> distance between <strong>the</strong> minima and <strong>the</strong> maximum increases with increasing wall distance <strong>for</strong><br />

both functions but faster <strong>for</strong> ÃËÛË ¹ §j½õÀ¼ <strong>the</strong> , especially close to <strong>the</strong> wall. Moreover, it can be<br />

concluded from <strong>the</strong> functional dependence <strong>of</strong> <strong>the</strong> correlations around <strong>the</strong> maximum that <strong>the</strong><br />

coherence <strong>of</strong> ÃËÛË ¹ §F½öÀ¼ <strong>the</strong> <strong>structures</strong> is ra<strong>the</strong>r weak compared to <strong>the</strong> <strong>coherent</strong> <strong>structures</strong><br />

represented ÃËÌË ¹ §óº÷À¢¼ by . Also, <strong>the</strong> <strong>structures</strong> which enter in <strong>the</strong> calculation à êïî Ñí êïî Ñí <strong>of</strong><br />

loose <strong>the</strong>ir identity to a large extent with increasing wall-distance as indicated by <strong>the</strong> strong<br />

difference between <strong>the</strong> graphs. <strong>The</strong> exact value <strong>of</strong> <strong>the</strong> span-wise periodicity <strong>of</strong> <strong>the</strong> <strong>structures</strong>,<br />

indicated by <strong>the</strong> minimum in <strong>the</strong> correlations, is still a point <strong>of</strong> discussion in <strong>the</strong> literature, especially<br />

at high Reynolds numbers. One reason <strong>for</strong> this controversy is <strong>the</strong> dependence <strong>of</strong> this<br />

number on <strong>the</strong> method applied <strong>for</strong> <strong>the</strong> determination <strong>of</strong> <strong>the</strong> wavelength. However, it should be<br />

noted that <strong>the</strong> conditional correlation approach, applied here, is fully based on ma<strong>the</strong>matical<br />

grounds and yields only one well defined value <strong>for</strong> <strong>the</strong> wavelength, instead <strong>of</strong> a streak-spacing<br />

distribution from which a mean has to be calculated in an appropriate way. Table 6.4 reveals<br />

<strong>the</strong> values measured in air- and water-facilities at different Reynolds number by using various<br />

detection methods. It can be seen that <strong>the</strong> exact spacing extracted from ÃËÌË$Á9ÃËÌË ¹ §éº»À¼<br />

<strong>the</strong><br />

ÃËÌË ¹ §¥½#À¼ and correlation in figure 6.7, does not match with <strong>the</strong> values found in <strong>the</strong> cited<br />

work but when ìêïî Ñí êïî Ñí <strong>the</strong> correlation is considered at ª¡À , <strong>the</strong> agreement is remarkable<br />

­.®øÊ<br />

with <strong>the</strong> o<strong>the</strong>r experiments.<br />

TABLE 6.4: Comparison <strong>of</strong> streakspacing<br />

and <strong>flow</strong> parameters. First<br />

block: air, PIV, conditional correlation<br />

method, Ó ®jÔ<br />

Ü Ø<br />

, [Present study]. Second<br />

block:<br />

water, hydrogen bubbles,<br />

®ÕÔ×ù<br />

, see [93]. Third block: air, probe<br />

Ó<br />

Ó ® Ô×Úúòû<br />

rake, , see [25]. Forth block:<br />

water, hydrogen Ó ®üÔþý<br />

bubbles, , see<br />

[92].<br />

[m/s] [m/s] [m]<br />

7800 3.0 0.1210 18.0 92<br />

3160 0.390 0.0155 4.50 96<br />

3310 0.305 0.0121 4.27 104<br />

4180 0.387 0.0150 4.27 93<br />

4940 0.475 0.0181 4.27 97<br />

5830 0.582 0.0220 4.27 95<br />

3300 – 0.2256 – 89<br />

4700 – 0.3277 – 110<br />

1080 0.152 0.0070 3.14 91<br />

1325 0.152 0.0069 4.11 106<br />

108

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