研究者
J-GLOBAL ID：202201006523428097
更新日: 2024年11月11日
王 偉
WANG Wei
研究キーワード (3件)：
都市環境工学
, 数値流体力学
, 風工学
競争的資金等の研究課題 (2件)：
- 2023 - 2026 Development of general statistical methods for estimating gust wind speed in different urban morphology and weather conditions based on the Weibull distribution
- 2023 - 2026 帰納的環境評価に向けた都市建物群による乱流場・濃度場の多変量同時計測
論文 (21件)：
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Muhd Azhar bin Zainol, Wei Wang, Naoki Ikegaya. Similarity of the low-occurrence wind profiles within urban turbulent boundary layers of uniform and non-uniform height block arrays. Building and Environment. 2025. 267
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T. Tong, Y. Li, W. Wang, M. F. Mohamad, T. Okaze, N. Ikegaya. Comparisons of experimentally and numerically determined statistics for predicting low-occurrence wind speeds around a 1:1:2 block model. Building and Environment. 2025. 267
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T. Sanemitsu, W. Wang, N. Ikegaya. Impact of momentum sources on pedestrian-level peak wind predictions of an urban-like array using large-eddy simulations and statistical models. Building and Environment. 2025. 267
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Y. Li, W. Wang, T. Okaze, N. Ikegaya. Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset. Sustainable Cities and Society. 2024. 115
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Leila Mahmoudi, Wei Wang, Naoki Ikegaya. Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data. Building and Environment. 2024. 261
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経歴 (1件)：
所属学会 (1件)：
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