Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics
Tsubasa OKAZE
1
,
Hideki Kikumoto
2
,
Hiroki Ono
3
,
Masashi Imano
4
,
Naoki Ikegaya
5
,
Takamasa Hasama
6
,
Keisuke Nakao
3
,
Takeshi Kishida
3
,
Yuichi Tabata
7
,
Keigo Nakajima
6
,
Ryuichiro Yoshie
8
,
Yoshihide TOMINAGA
9
4
OCAEL Co. Ltd., Japan
|
6
Kajima Corp. (Japan)
|
7
Obayashi Corporation, Japan.
|
Publication type: Journal Article
Publication date: 2021-09-01
scimago Q1
wos Q1
SJR: 1.858
CiteScore: 14.3
Impact factor: 7.6
ISSN: 03601323, 1873684X
Environmental Engineering
Building and Construction
Civil and Structural Engineering
Geography, Planning and Development
Abstract
We designed and exclusively performed a wind tunnel experiment to obtain high-quality and high-resolution measurement results for three components of mean and fluctuating velocities around a 1: 1: 2 isolated building to establish a benchmark case for large-eddy simulation (LES) as a part of the activities of the Architectural Institute of Japan. Subsequently, we conducted LES to investigate the effect of computational grid arrangement on turbulent statistics by changing three grid arrangements. Finally, we performed a comparison by changing spatial discretization schemes, sub-grid scale (SGS) turbulence models, and convergence criteria. A grid in which the width of a building was discretized into 20 grids yielded sufficient resolution to reproduce the mean flow and second-order turbulent statistics. Under this appropriate grid arrangement, in the condition that the blending ratio of the first-order upwind interpolation scheme with the second-order linear interpolation scheme from 5 to 10%, the appropriate second-order statistics of wind velocity around the isolated building was obtained and numerical oscillation was effectively removed. Then, with this grid, any SGS model yielded appropriate results. In addition, the convergence criteria had little effects on the LES results if stable solution was obtained. Because the convergence criteria greatly affect the total calculation cost, weaker appropriate criteria should be set. • We conducted a comparison study of LES of flow field around a building. • A grid size dividing the building width into 20 grids provided sufficient resolution. • 5–10% upwind blended linear interpolation scheme yielded appropriate results. • The difference in results using different SGS turbulence models was small. • The convergence criteria of the PISO algorithm had minimal effect on the results.
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GOST
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OKAZE T. et al. Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics // Building and Environment. 2021. Vol. 202. p. 108021.
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OKAZE T., Kikumoto H., Ono H., Imano M., Ikegaya N., Hasama T., Nakao K., Kishida T., Tabata Y., Nakajima K., Yoshie R., TOMINAGA Y. Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics // Building and Environment. 2021. Vol. 202. p. 108021.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.buildenv.2021.108021
UR - https://doi.org/10.1016/j.buildenv.2021.108021
TI - Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics
T2 - Building and Environment
AU - OKAZE, Tsubasa
AU - Kikumoto, Hideki
AU - Ono, Hiroki
AU - Imano, Masashi
AU - Ikegaya, Naoki
AU - Hasama, Takamasa
AU - Nakao, Keisuke
AU - Kishida, Takeshi
AU - Tabata, Yuichi
AU - Nakajima, Keigo
AU - Yoshie, Ryuichiro
AU - TOMINAGA, Yoshihide
PY - 2021
DA - 2021/09/01
PB - Elsevier
SP - 108021
VL - 202
SN - 0360-1323
SN - 1873-684X
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2021_OKAZE,
author = {Tsubasa OKAZE and Hideki Kikumoto and Hiroki Ono and Masashi Imano and Naoki Ikegaya and Takamasa Hasama and Keisuke Nakao and Takeshi Kishida and Yuichi Tabata and Keigo Nakajima and Ryuichiro Yoshie and Yoshihide TOMINAGA},
title = {Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics},
journal = {Building and Environment},
year = {2021},
volume = {202},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.buildenv.2021.108021},
pages = {108021},
doi = {10.1016/j.buildenv.2021.108021}
}