Optimization of ADV sampling strategies using DNS of turbulent flow

Autores
Gil Montero, Vicente Gastón; Romagnoli, Martín; Garcia, Carlos Manuel; Cantero, Mariano Ignacio; Scacchi, Graciela
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents an investigation on the effects of spatial and temporal averaging processes (filtering) implemented in an Acoustic Doppler Velocimeter (ADV) on the computations of the turbulent kinetic energy, velocity variances, and Reynolds shear stresses. The averaging processes are implemented in the ADV technology in order to reduce the noise level inherent in acoustic measurements. A conceptual model, simulating the ADV operation and the turbulent flow field, is developed to assess the filtering effects on the turbulence parameter estimates of sampling volume heights, recording frequencies, and distances from the sampling volume to the channel bottom. The results of the conceptual model are compared with experimental data. The findings provide a criterion to examine the capability of ADV to characterize turbulent flows using different sampling configurations.
Fil: Gil Montero, Vicente Gastón. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Romagnoli, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Fil: Garcia, Carlos Manuel. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Cantero, Mariano Ignacio. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scacchi, Graciela. Universidad Nacional del Litoral; Argentina
Materia
ACOUSTIC DOPPLER VELOCIMETER
DIRECT NUMERICAL SIMULATION
SAMPLING STRATEGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180756

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spelling Optimization of ADV sampling strategies using DNS of turbulent flowGil Montero, Vicente GastónRomagnoli, MartínGarcia, Carlos ManuelCantero, Mariano IgnacioScacchi, GracielaACOUSTIC DOPPLER VELOCIMETERDIRECT NUMERICAL SIMULATIONSAMPLING STRATEGYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1This work presents an investigation on the effects of spatial and temporal averaging processes (filtering) implemented in an Acoustic Doppler Velocimeter (ADV) on the computations of the turbulent kinetic energy, velocity variances, and Reynolds shear stresses. The averaging processes are implemented in the ADV technology in order to reduce the noise level inherent in acoustic measurements. A conceptual model, simulating the ADV operation and the turbulent flow field, is developed to assess the filtering effects on the turbulence parameter estimates of sampling volume heights, recording frequencies, and distances from the sampling volume to the channel bottom. The results of the conceptual model are compared with experimental data. The findings provide a criterion to examine the capability of ADV to characterize turbulent flows using different sampling configurations.Fil: Gil Montero, Vicente Gastón. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Romagnoli, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; ArgentinaFil: Garcia, Carlos Manuel. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; ArgentinaFil: Cantero, Mariano Ignacio. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scacchi, Graciela. Universidad Nacional del Litoral; ArgentinaInternational Association for Hydro-Environment Engineering and Research2014-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180756Gil Montero, Vicente Gastón; Romagnoli, Martín; Garcia, Carlos Manuel; Cantero, Mariano Ignacio; Scacchi, Graciela; Optimization of ADV sampling strategies using DNS of turbulent flow; International Association for Hydro-Environment Engineering and Research; Journal of Hydraulic Research; 52; 6; 11-2014; 862-8690022-1686CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/00221686.2014.967818info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/00221686.2014.967818info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:47Zoai:ri.conicet.gov.ar:11336/180756instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:47.812CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimization of ADV sampling strategies using DNS of turbulent flow
title Optimization of ADV sampling strategies using DNS of turbulent flow
spellingShingle Optimization of ADV sampling strategies using DNS of turbulent flow
Gil Montero, Vicente Gastón
ACOUSTIC DOPPLER VELOCIMETER
DIRECT NUMERICAL SIMULATION
SAMPLING STRATEGY
title_short Optimization of ADV sampling strategies using DNS of turbulent flow
title_full Optimization of ADV sampling strategies using DNS of turbulent flow
title_fullStr Optimization of ADV sampling strategies using DNS of turbulent flow
title_full_unstemmed Optimization of ADV sampling strategies using DNS of turbulent flow
title_sort Optimization of ADV sampling strategies using DNS of turbulent flow
dc.creator.none.fl_str_mv Gil Montero, Vicente Gastón
Romagnoli, Martín
Garcia, Carlos Manuel
Cantero, Mariano Ignacio
Scacchi, Graciela
author Gil Montero, Vicente Gastón
author_facet Gil Montero, Vicente Gastón
Romagnoli, Martín
Garcia, Carlos Manuel
Cantero, Mariano Ignacio
Scacchi, Graciela
author_role author
author2 Romagnoli, Martín
Garcia, Carlos Manuel
Cantero, Mariano Ignacio
Scacchi, Graciela
author2_role author
author
author
author
dc.subject.none.fl_str_mv ACOUSTIC DOPPLER VELOCIMETER
DIRECT NUMERICAL SIMULATION
SAMPLING STRATEGY
topic ACOUSTIC DOPPLER VELOCIMETER
DIRECT NUMERICAL SIMULATION
SAMPLING STRATEGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This work presents an investigation on the effects of spatial and temporal averaging processes (filtering) implemented in an Acoustic Doppler Velocimeter (ADV) on the computations of the turbulent kinetic energy, velocity variances, and Reynolds shear stresses. The averaging processes are implemented in the ADV technology in order to reduce the noise level inherent in acoustic measurements. A conceptual model, simulating the ADV operation and the turbulent flow field, is developed to assess the filtering effects on the turbulence parameter estimates of sampling volume heights, recording frequencies, and distances from the sampling volume to the channel bottom. The results of the conceptual model are compared with experimental data. The findings provide a criterion to examine the capability of ADV to characterize turbulent flows using different sampling configurations.
Fil: Gil Montero, Vicente Gastón. Comisión Nacional de Energía Atómica. Centro Atómico Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Romagnoli, Martín. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
Fil: Garcia, Carlos Manuel. Universidad Nacional de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina
Fil: Cantero, Mariano Ignacio. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scacchi, Graciela. Universidad Nacional del Litoral; Argentina
description This work presents an investigation on the effects of spatial and temporal averaging processes (filtering) implemented in an Acoustic Doppler Velocimeter (ADV) on the computations of the turbulent kinetic energy, velocity variances, and Reynolds shear stresses. The averaging processes are implemented in the ADV technology in order to reduce the noise level inherent in acoustic measurements. A conceptual model, simulating the ADV operation and the turbulent flow field, is developed to assess the filtering effects on the turbulence parameter estimates of sampling volume heights, recording frequencies, and distances from the sampling volume to the channel bottom. The results of the conceptual model are compared with experimental data. The findings provide a criterion to examine the capability of ADV to characterize turbulent flows using different sampling configurations.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180756
Gil Montero, Vicente Gastón; Romagnoli, Martín; Garcia, Carlos Manuel; Cantero, Mariano Ignacio; Scacchi, Graciela; Optimization of ADV sampling strategies using DNS of turbulent flow; International Association for Hydro-Environment Engineering and Research; Journal of Hydraulic Research; 52; 6; 11-2014; 862-869
0022-1686
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180756
identifier_str_mv Gil Montero, Vicente Gastón; Romagnoli, Martín; Garcia, Carlos Manuel; Cantero, Mariano Ignacio; Scacchi, Graciela; Optimization of ADV sampling strategies using DNS of turbulent flow; International Association for Hydro-Environment Engineering and Research; Journal of Hydraulic Research; 52; 6; 11-2014; 862-869
0022-1686
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/00221686.2014.967818
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/00221686.2014.967818
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Association for Hydro-Environment Engineering and Research
publisher.none.fl_str_mv International Association for Hydro-Environment Engineering and Research
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397