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Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building
This paper presents a high tempo-spatial resolution dataset of the three-dimensional (3D) turbulent flow over a group of generic buildings with and without a high-rise building measured in an atmospheric boundary layer wind tunnel. This dataset is the basis of the study reported in the research arti...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570942/ https://www.ncbi.nlm.nih.gov/pubmed/34765700 http://dx.doi.org/10.1016/j.dib.2021.107504 |
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author | Tominaga, Yoshihide Shirzadi, Mohammadreza |
author_facet | Tominaga, Yoshihide Shirzadi, Mohammadreza |
author_sort | Tominaga, Yoshihide |
collection | PubMed |
description | This paper presents a high tempo-spatial resolution dataset of the three-dimensional (3D) turbulent flow over a group of generic buildings with and without a high-rise building measured in an atmospheric boundary layer wind tunnel. This dataset is the basis of the study reported in the research article entitled “Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian wind environment” by Tominaga and Shirzadi (2021), which investigates the effect of a high-rise building on the pedestrian wind environment formed around the surrounding buildings and its interaction mechanism with the street flow at the pedestrian height. The instantaneous velocity vectors over a vertical central plane and a horizontal plane and the time-averaged surface pressure over the central building were measured for two cases consisting of a low-rise (Case 1H) and high-rise (Case 3H) buildings, which are in the center of a group of eight low-rise cubic buildings at a regular arrangement with an urban planar area density of 0.25. Data acquisition procedure and measurements details are explained in this paper. Time-averaged values of three velocity components and surface pressure coefficients, and turbulent statistics, i.e. turbulent kinetic energy and normal component of the Reynolds stresses are presented. Furthermore, the time-averaged two-dimensional (2D) velocity magnitude over the pedestrian height are presented for evaluating the gust factor. The presented database is useful for the validation of computational fluid dynamics (CFD) models and turbulent model developments for urban and building-related studies. |
format | Online Article Text |
id | pubmed-8570942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85709422021-11-10 Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building Tominaga, Yoshihide Shirzadi, Mohammadreza Data Brief Data Article This paper presents a high tempo-spatial resolution dataset of the three-dimensional (3D) turbulent flow over a group of generic buildings with and without a high-rise building measured in an atmospheric boundary layer wind tunnel. This dataset is the basis of the study reported in the research article entitled “Wind tunnel measurement of three-dimensional turbulent flow structures around a building group: Impact of high-rise buildings on pedestrian wind environment” by Tominaga and Shirzadi (2021), which investigates the effect of a high-rise building on the pedestrian wind environment formed around the surrounding buildings and its interaction mechanism with the street flow at the pedestrian height. The instantaneous velocity vectors over a vertical central plane and a horizontal plane and the time-averaged surface pressure over the central building were measured for two cases consisting of a low-rise (Case 1H) and high-rise (Case 3H) buildings, which are in the center of a group of eight low-rise cubic buildings at a regular arrangement with an urban planar area density of 0.25. Data acquisition procedure and measurements details are explained in this paper. Time-averaged values of three velocity components and surface pressure coefficients, and turbulent statistics, i.e. turbulent kinetic energy and normal component of the Reynolds stresses are presented. Furthermore, the time-averaged two-dimensional (2D) velocity magnitude over the pedestrian height are presented for evaluating the gust factor. The presented database is useful for the validation of computational fluid dynamics (CFD) models and turbulent model developments for urban and building-related studies. Elsevier 2021-10-23 /pmc/articles/PMC8570942/ /pubmed/34765700 http://dx.doi.org/10.1016/j.dib.2021.107504 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Tominaga, Yoshihide Shirzadi, Mohammadreza Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title | Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title_full | Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title_fullStr | Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title_full_unstemmed | Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title_short | Wind tunnel measurement dataset of 3D turbulent flow around a group of generic buildings with and without a high-rise building |
title_sort | wind tunnel measurement dataset of 3d turbulent flow around a group of generic buildings with and without a high-rise building |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570942/ https://www.ncbi.nlm.nih.gov/pubmed/34765700 http://dx.doi.org/10.1016/j.dib.2021.107504 |
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