Estimating the integral length scale on turbulent flows from the zero crossings of the longitudinal velocity fluctuation
The integral length scale ( L ) is considered to be characteristic of the largest motions of a turbulent flow, and as such, it is an input parameter in modern and classical approaches of turbulence theory and numerical simulations. Its experimental estimation, however, could be difficult in certain...
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creator | Mora, D. O. Obligado, M. |
description | The integral length scale (
L
) is considered to be characteristic of the largest motions of a turbulent flow, and as such, it is an input parameter in modern and classical approaches of turbulence theory and numerical simulations. Its experimental estimation, however, could be difficult in certain conditions, for instance, when the experimental calibration required to measure
L
is hard to achieve (hot-wire anemometry on large scale wind-tunnels, and field measurements), or in ‘standard’ facilities using active grids due to the behaviour of their velocity autocorrelation function
ρ
(
r
)
, which does not in general cross zero. In this work, we provide two alternative methods to estimate
L
using the variance of the distance between successive zero crossings of the streamwise velocity fluctuations, thereby reducing the uncertainty of estimating
L
under similar experimental conditions. These methods are applicable to a variety of situations such as active grids flows, field measurements, and large-scale wind tunnels.
Graphic abstract |
doi_str_mv | 10.1007/s00348-020-03033-2 |
format | Article |
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L
) is considered to be characteristic of the largest motions of a turbulent flow, and as such, it is an input parameter in modern and classical approaches of turbulence theory and numerical simulations. Its experimental estimation, however, could be difficult in certain conditions, for instance, when the experimental calibration required to measure
L
is hard to achieve (hot-wire anemometry on large scale wind-tunnels, and field measurements), or in ‘standard’ facilities using active grids due to the behaviour of their velocity autocorrelation function
ρ
(
r
)
, which does not in general cross zero. In this work, we provide two alternative methods to estimate
L
using the variance of the distance between successive zero crossings of the streamwise velocity fluctuations, thereby reducing the uncertainty of estimating
L
under similar experimental conditions. These methods are applicable to a variety of situations such as active grids flows, field measurements, and large-scale wind tunnels.
Graphic abstract</description><identifier>ISSN: 0723-4864</identifier><identifier>EISSN: 1432-1114</identifier><identifier>DOI: 10.1007/s00348-020-03033-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Autocorrelation functions ; Computational fluid dynamics ; Computer simulation ; Engineering ; Engineering Fluid Dynamics ; Engineering Sciences ; Engineering Thermodynamics ; Estimation ; Fluid- and Aerodynamics ; Fluids mechanics ; Heat and Mass Transfer ; Integrals ; Mechanics ; Research Article ; Turbulence ; Turbulent flow ; Velocity measurement ; Wind tunnels</subject><ispartof>Experiments in fluids, 2020-09, Vol.61 (9), Article 199</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c456t-920943b2db84f795b7c5761cdbad2a54854accff1770bf41e9895b64691b715e3</citedby><cites>FETCH-LOGICAL-c456t-920943b2db84f795b7c5761cdbad2a54854accff1770bf41e9895b64691b715e3</cites><orcidid>0000-0003-3834-3941</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00348-020-03033-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00348-020-03033-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://hal.science/hal-02968129$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Mora, D. O.</creatorcontrib><creatorcontrib>Obligado, M.</creatorcontrib><title>Estimating the integral length scale on turbulent flows from the zero crossings of the longitudinal velocity fluctuation</title><title>Experiments in fluids</title><addtitle>Exp Fluids</addtitle><description>The integral length scale (
L
) is considered to be characteristic of the largest motions of a turbulent flow, and as such, it is an input parameter in modern and classical approaches of turbulence theory and numerical simulations. Its experimental estimation, however, could be difficult in certain conditions, for instance, when the experimental calibration required to measure
L
is hard to achieve (hot-wire anemometry on large scale wind-tunnels, and field measurements), or in ‘standard’ facilities using active grids due to the behaviour of their velocity autocorrelation function
ρ
(
r
)
, which does not in general cross zero. In this work, we provide two alternative methods to estimate
L
using the variance of the distance between successive zero crossings of the streamwise velocity fluctuations, thereby reducing the uncertainty of estimating
L
under similar experimental conditions. These methods are applicable to a variety of situations such as active grids flows, field measurements, and large-scale wind tunnels.
Graphic abstract</description><subject>Autocorrelation functions</subject><subject>Computational fluid dynamics</subject><subject>Computer simulation</subject><subject>Engineering</subject><subject>Engineering Fluid Dynamics</subject><subject>Engineering Sciences</subject><subject>Engineering Thermodynamics</subject><subject>Estimation</subject><subject>Fluid- and Aerodynamics</subject><subject>Fluids mechanics</subject><subject>Heat and Mass Transfer</subject><subject>Integrals</subject><subject>Mechanics</subject><subject>Research Article</subject><subject>Turbulence</subject><subject>Turbulent flow</subject><subject>Velocity measurement</subject><subject>Wind tunnels</subject><issn>0723-4864</issn><issn>1432-1114</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc1KxDAYRYMoOI6-gKuAKxfVLz9t2qXI6AgDbnQd0jTpVGozJun48_RmpqI7V4HLuSd8XITOCVwRAHEdABgvM6CQAQPGMnqAZoQzmhFC-CGagaAs42XBj9FJCC8AJK-gnKGPRYjdq4rd0OK4Nrgbomm96nFvhjaucdCqN9gNOI6-HlMYse3de8DWu9d948t4h7V3ISRHwM7u094NbRfHphuSa2t6p7v4maqjjmP6zQ2n6MiqPpizn3eOnu8WT7fLbPV4_3B7s8o0z4uYVRQqzmra1CW3osproXNREN3UqqEq52XOldbWEiGgtpyYqkxQwYuK1ILkhs3R5eRdq15ufLrVf0qnOrm8WcldBrQqSkKrLUnsxcRuvHsbTYjyxY0-XRAk5SynIATniaITtT_aG_urJSB3a8hpjWQGuV9D0lRiUykkeGiN_1P_0_oGI12OTw</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Mora, D. O.</creator><creator>Obligado, M.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><general>Springer Verlag (Germany)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-3834-3941</orcidid></search><sort><creationdate>20200901</creationdate><title>Estimating the integral length scale on turbulent flows from the zero crossings of the longitudinal velocity fluctuation</title><author>Mora, D. O. ; Obligado, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c456t-920943b2db84f795b7c5761cdbad2a54854accff1770bf41e9895b64691b715e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Autocorrelation functions</topic><topic>Computational fluid dynamics</topic><topic>Computer simulation</topic><topic>Engineering</topic><topic>Engineering Fluid Dynamics</topic><topic>Engineering Sciences</topic><topic>Engineering Thermodynamics</topic><topic>Estimation</topic><topic>Fluid- and Aerodynamics</topic><topic>Fluids mechanics</topic><topic>Heat and Mass Transfer</topic><topic>Integrals</topic><topic>Mechanics</topic><topic>Research Article</topic><topic>Turbulence</topic><topic>Turbulent flow</topic><topic>Velocity measurement</topic><topic>Wind tunnels</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mora, D. O.</creatorcontrib><creatorcontrib>Obligado, M.</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Experiments in fluids</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mora, D. O.</au><au>Obligado, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating the integral length scale on turbulent flows from the zero crossings of the longitudinal velocity fluctuation</atitle><jtitle>Experiments in fluids</jtitle><stitle>Exp Fluids</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>61</volume><issue>9</issue><artnum>199</artnum><issn>0723-4864</issn><eissn>1432-1114</eissn><abstract>The integral length scale (
L
) is considered to be characteristic of the largest motions of a turbulent flow, and as such, it is an input parameter in modern and classical approaches of turbulence theory and numerical simulations. Its experimental estimation, however, could be difficult in certain conditions, for instance, when the experimental calibration required to measure
L
is hard to achieve (hot-wire anemometry on large scale wind-tunnels, and field measurements), or in ‘standard’ facilities using active grids due to the behaviour of their velocity autocorrelation function
ρ
(
r
)
, which does not in general cross zero. In this work, we provide two alternative methods to estimate
L
using the variance of the distance between successive zero crossings of the streamwise velocity fluctuations, thereby reducing the uncertainty of estimating
L
under similar experimental conditions. These methods are applicable to a variety of situations such as active grids flows, field measurements, and large-scale wind tunnels.
Graphic abstract</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00348-020-03033-2</doi><orcidid>https://orcid.org/0000-0003-3834-3941</orcidid></addata></record> |
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subjects | Autocorrelation functions Computational fluid dynamics Computer simulation Engineering Engineering Fluid Dynamics Engineering Sciences Engineering Thermodynamics Estimation Fluid- and Aerodynamics Fluids mechanics Heat and Mass Transfer Integrals Mechanics Research Article Turbulence Turbulent flow Velocity measurement Wind tunnels |
title | Estimating the integral length scale on turbulent flows from the zero crossings of the longitudinal velocity fluctuation |
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