Employing wind tunnel data to evaluate a turbulent spectral model
In this study, spectra obtained from wind tunnel data are compared with a model that describes observed atmospheric neutral spectra. The investigation points out that there is a good conformity between both spectra for the whole turbulent frequency domain. This result is significative since that t...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Artículo |
Lenguaje: | Inglés |
Publicado: |
Science Publishing Group
2021
|
Materias: | |
Acceso en línea: | http://repositorio.unne.edu.ar/handle/123456789/27792 |
Aporte de: |
id |
I48-R184-123456789-27792 |
---|---|
record_format |
dspace |
institution |
Universidad Nacional del Nordeste |
institution_str |
I-48 |
repository_str |
R-184 |
collection |
RIUNNE - Repositorio Institucional de la Universidad Nacional del Nordeste (UNNE) |
language |
Inglés |
topic |
Wind engineering Turbulence spectral model Wind tunnel |
spellingShingle |
Wind engineering Turbulence spectral model Wind tunnel Álvarez y Álvarez, Gisela Marina Demarco, Giuliano Martins, Luis Gustavo Puhales, Franciano S. Acevedo, Otávio Costa Loredo Souza, Acir Mércio Bodmann, Bardo Ernst Josef Degrazia, Gervásio Annes Wittwer, Adrián Roberto Employing wind tunnel data to evaluate a turbulent spectral model |
topic_facet |
Wind engineering Turbulence spectral model Wind tunnel |
description |
In this study, spectra obtained from wind tunnel data are compared with a model that describes observed
atmospheric neutral spectra. The investigation points out that there is a good conformity between both spectra for the whole
turbulent frequency domain. This result is significative since that the spectral model was obtained using only turbulent
quantities measured in the planetary boundary layer. This similitude occurring with wind tunnel and atmospheric data
furnishes a way to obtain connections between wind tunnel and atmospheric turbulent observations. The results, presented in
this analysis, confirm the hypothesis that turbulence parameters observed in wind tunnel, can simulate real wind data
measured in atmosphere. |
format |
Artículo |
author |
Álvarez y Álvarez, Gisela Marina Demarco, Giuliano Martins, Luis Gustavo Puhales, Franciano S. Acevedo, Otávio Costa Loredo Souza, Acir Mércio Bodmann, Bardo Ernst Josef Degrazia, Gervásio Annes Wittwer, Adrián Roberto |
author_facet |
Álvarez y Álvarez, Gisela Marina Demarco, Giuliano Martins, Luis Gustavo Puhales, Franciano S. Acevedo, Otávio Costa Loredo Souza, Acir Mércio Bodmann, Bardo Ernst Josef Degrazia, Gervásio Annes Wittwer, Adrián Roberto |
author_sort |
Álvarez y Álvarez, Gisela Marina |
title |
Employing wind tunnel data to evaluate a turbulent spectral model |
title_short |
Employing wind tunnel data to evaluate a turbulent spectral model |
title_full |
Employing wind tunnel data to evaluate a turbulent spectral model |
title_fullStr |
Employing wind tunnel data to evaluate a turbulent spectral model |
title_full_unstemmed |
Employing wind tunnel data to evaluate a turbulent spectral model |
title_sort |
employing wind tunnel data to evaluate a turbulent spectral model |
publisher |
Science Publishing Group |
publishDate |
2021 |
url |
http://repositorio.unne.edu.ar/handle/123456789/27792 |
work_keys_str_mv |
AT alvarezyalvarezgiselamarina employingwindtunneldatatoevaluateaturbulentspectralmodel AT demarcogiuliano employingwindtunneldatatoevaluateaturbulentspectralmodel AT martinsluisgustavo employingwindtunneldatatoevaluateaturbulentspectralmodel AT puhalesfrancianos employingwindtunneldatatoevaluateaturbulentspectralmodel AT acevedootaviocosta employingwindtunneldatatoevaluateaturbulentspectralmodel AT loredosouzaacirmercio employingwindtunneldatatoevaluateaturbulentspectralmodel AT bodmannbardoernstjosef employingwindtunneldatatoevaluateaturbulentspectralmodel AT degraziagervasioannes employingwindtunneldatatoevaluateaturbulentspectralmodel AT wittweradrianroberto employingwindtunneldatatoevaluateaturbulentspectralmodel |
bdutipo_str |
Repositorios |
_version_ |
1764820538900873216 |