A spatial resolution correction scheme for disturbance profiles in developing zero-pressure-gradient turbulent boundary layers Article Swipe
F. Gökhan Ergin
,
Frederik Zafiryadis
,
Bo Beltoft Watz
,
Knud Erik Meyer
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1615/thmt-23.130
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1615/thmt-23.130
Constant temperature anemometry (CTA) is still the preferred method in measurement of key quantities in turbulence investigations. One of the main challenges of CTA is the finite length of the sensor often being larger than the smallest eddies present in the flow, which leads to spatial averaging along the sensor. The effect is often an under-estimated fluctuation intensity value, which leads to the biased estimation of heat- and mass- transfer characteristics of the flow and the value needs to be corrected. There have been numerous correction schemes that aim to estimate the "true" turbulent fluctuation intensity value. Here we get inspiration from the scheme proposed by Smits (1) and partly follow an original scheme, to get a better fit to our experimental data obtained over a developing in zero-pressure-gradient (ZPG) turbulent boundary layers (TBL), with Rex values ranging from 0.2 million to 1.33 million, and Reτ values ranging from 526 to 1230. The results indicate that the turbulent fluctuation intensity values are a function of both the dimensionless sensor length, L+ and the friction Reynolds number, Reτ. Other key parameters were also investigated whether they too change with L+ and/or Reτ, within the developing ZPG TBL. It was observed that the parameters of the logarithmic region; the von Karman constant, κ and the additive constant, B, also have a weak dependence on the L+.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1615/thmt-23.130
- https://www.dl.begellhouse.com/download/article/7bd591627992ff01/E019-ext.pdf
- OA Status
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- References
- 18
- Related Works
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- OpenAlex ID
- https://openalex.org/W4391810939
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https://openalex.org/W4391810939Canonical identifier for this work in OpenAlex
- DOI
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- Title
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A spatial resolution correction scheme for disturbance profiles in developing zero-pressure-gradient turbulent boundary layersWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
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F. Gökhan Ergin, Frederik Zafiryadis, Bo Beltoft Watz, Knud Erik MeyerList of authors in order
- Landing page
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https://doi.org/10.1615/thmt-23.130Publisher landing page
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https://www.dl.begellhouse.com/download/article/7bd591627992ff01/E019-ext.pdfDirect link to full text PDF
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goldOpen access status per OpenAlex
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https://www.dl.begellhouse.com/download/article/7bd591627992ff01/E019-ext.pdfDirect OA link when available
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Turbulence, Dimensionless quantity, Reynolds number, Constant (computer programming), Mechanics, Physics, Logarithm, Boundary layer, Pressure gradient, Intensity (physics), Boundary (topology), Statistical physics, Mathematics, Mathematical analysis, Optics, Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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| abstract_inverted_index.along | 47 |
| abstract_inverted_index.being | 32 |
| abstract_inverted_index.flow, | 41 |
| abstract_inverted_index.heat- | 66 |
| abstract_inverted_index.leads | 43, 60 |
| abstract_inverted_index.mass- | 68 |
| abstract_inverted_index.needs | 77 |
| abstract_inverted_index.often | 31, 53 |
| abstract_inverted_index.still | 5 |
| abstract_inverted_index.value | 76 |
| abstract_inverted_index.which | 42, 59 |
| abstract_inverted_index."true" | 92 |
| abstract_inverted_index.(TBL), | 133 |
| abstract_inverted_index.Karman | 208 |
| abstract_inverted_index.and/or | 189 |
| abstract_inverted_index.better | 117 |
| abstract_inverted_index.biased | 63 |
| abstract_inverted_index.change | 186 |
| abstract_inverted_index.eddies | 37 |
| abstract_inverted_index.effect | 51 |
| abstract_inverted_index.finite | 26 |
| abstract_inverted_index.follow | 110 |
| abstract_inverted_index.larger | 33 |
| abstract_inverted_index.layers | 132 |
| abstract_inverted_index.length | 27 |
| abstract_inverted_index.method | 8 |
| abstract_inverted_index.partly | 109 |
| abstract_inverted_index.scheme | 103 |
| abstract_inverted_index.sensor | 30, 168 |
| abstract_inverted_index.value, | 58 |
| abstract_inverted_index.value. | 96 |
| abstract_inverted_index.values | 136, 146, 160 |
| abstract_inverted_index.within | 191 |
| abstract_inverted_index.length, | 169 |
| abstract_inverted_index.million | 140 |
| abstract_inverted_index.number, | 175 |
| abstract_inverted_index.present | 38 |
| abstract_inverted_index.ranging | 137, 147 |
| abstract_inverted_index.region; | 205 |
| abstract_inverted_index.results | 153 |
| abstract_inverted_index.scheme, | 113 |
| abstract_inverted_index.schemes | 86 |
| abstract_inverted_index.sensor. | 49 |
| abstract_inverted_index.spatial | 45 |
| abstract_inverted_index.whether | 183 |
| abstract_inverted_index.Constant | 0 |
| abstract_inverted_index.Reynolds | 174 |
| abstract_inverted_index.additive | 213 |
| abstract_inverted_index.boundary | 131 |
| abstract_inverted_index.estimate | 90 |
| abstract_inverted_index.friction | 173 |
| abstract_inverted_index.function | 163 |
| abstract_inverted_index.indicate | 154 |
| abstract_inverted_index.million, | 143 |
| abstract_inverted_index.numerous | 84 |
| abstract_inverted_index.observed | 198 |
| abstract_inverted_index.obtained | 123 |
| abstract_inverted_index.original | 112 |
| abstract_inverted_index.proposed | 104 |
| abstract_inverted_index.smallest | 36 |
| abstract_inverted_index.transfer | 69 |
| abstract_inverted_index.averaging | 46 |
| abstract_inverted_index.constant, | 209, 214 |
| abstract_inverted_index.intensity | 57, 95, 159 |
| abstract_inverted_index.preferred | 7 |
| abstract_inverted_index.turbulent | 93, 130, 157 |
| abstract_inverted_index.anemometry | 2 |
| abstract_inverted_index.challenges | 21 |
| abstract_inverted_index.corrected. | 80 |
| abstract_inverted_index.correction | 85 |
| abstract_inverted_index.dependence | 220 |
| abstract_inverted_index.developing | 126, 193 |
| abstract_inverted_index.estimation | 64 |
| abstract_inverted_index.parameters | 179, 201 |
| abstract_inverted_index.quantities | 13 |
| abstract_inverted_index.turbulence | 15 |
| abstract_inverted_index.fluctuation | 56, 94, 158 |
| abstract_inverted_index.inspiration | 100 |
| abstract_inverted_index.logarithmic | 204 |
| abstract_inverted_index.measurement | 10 |
| abstract_inverted_index.temperature | 1 |
| abstract_inverted_index.experimental | 121 |
| abstract_inverted_index.investigated | 182 |
| abstract_inverted_index.dimensionless | 167 |
| abstract_inverted_index.characteristics | 70 |
| abstract_inverted_index.investigations. | 16 |
| abstract_inverted_index.under-estimated | 55 |
| abstract_inverted_index.zero-pressure-gradient | 128 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.26516927 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |