EVALUATION AND UNCERTAINTY ANALYSIS OF PEAK WIND SPEED STATISTICS AT PEDESTRIAN LEVEL AROUND AN ISOLATED BUILDING MODEL USING LARGE-EDDY SIMULATION

This study examines the peak wind speed statistics and their uncertainty at the pedestrian level around an isolated building model using Large-Eddy Simulation (LES). Understanding pedestrian-level wind conditions is crucial for building design focused on comfort and safety. Traditional methods, often limited by the inability to directly assess peak speeds through wind tunnel experiments or computational fluid dynamics, rely on lower-order statistical measures combined with gust and peak factors. Our approach allows for a more direct and reliable estimation of these wind statistics, providing insights into the complexities of building-induced winds and their impact on pedestrian-level environments.

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Publication Details

Journal
Journal of Environmental Engineering (Transactions of AIJ)
Published
2024-12-31
DOI
https://doi.org/10.3130/aije.90.35
Citations
2
Primary Topic
Wind and Air Flow Studies
Type
article
Field-Weighted Citation Impact
0.41
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article

EVALUATION AND UNCERTAINTY ANALYSIS OF PEAK WIND SPEED STATISTICS AT PEDESTRIAN LEVEL AROUND AN ISOLATED BUILDING MODEL USING LARGE-EDDY SIMULATION

Yoshihide Tominaga, Naoki Ikegaya, Hideki Kikumoto, Tsubasa Okaze
2 citations
Journal of Environmental Engineering (Transactions of AIJ)
Wind and Air Flow Studies
0.41
article

EVALUATION AND UNCERTAINTY ANALYSIS OF PEAK WIND SPEED STATISTICS AT PEDESTRIAN LEVEL AROUND AN ISOLATED BUILDING MODEL USING LARGE-EDDY SIMULATION

Yoshihide Tominaga, Naoki Ikegaya, Hideki Kikumoto, Tsubasa Okaze
article en
2 citations

Abstract

This study examines the peak wind speed statistics and their uncertainty at the pedestrian level around an isolated building model using Large-Eddy Simulation (LES). Understanding pedestrian-level wind conditions is crucial for building design focused on comfort and safety. Traditional methods, often limited by the inability to directly assess peak speeds through wind tunnel experiments or computational fluid dynamics, rely on lower-order statistical measures combined with gust and peak factors. Our approach allows for a more direct and reliable estimation of these wind statistics, providing insights into the complexities of building-induced winds and their impact on pedestrian-level environments.

Journal of Environmental Engineering (Transactions of AIJ)Vol. 90(827)
Kyushu University (JP), Niigata Institute of Technology (JP), Shanghai Institute for Science of Science (CN), Institute of Science Tokyo (JP), The University of Tokyo (JP)
Affordable and clean energy
Openalex Percentile: Top 39%
Wind and Air Flow Studies
0.41
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