Rchr
J-GLOBAL ID：202201006523428097
Update date: May. 30, 2024
WANG Wei
WANG Wei
Research keywords (3)：
都市環境工学
, 数値流体力学
, Wind engineering
Research theme for competitive and other funds (2)：
- 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 Simultaneous multi-variable measurements of velocity and scalar fields for inductive environmental assessment
Papers (15)：
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Y. Li, W. Wang, N. Ikegaya. Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods. Building and Environment. 2024. 250. 111171-111171
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W. Wang, N. Ikegaya, C. Hirose, M.F. Mohamad. Indoor flow datasets of two-layered cross-ventilation models by particle image velocimetry and hot wire anemometry. Data in Brief. 2024. 52. 109856-109856
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Fei Li, Chiyoko Hirose, Wei Wang, Chun-Ho Liu, Naoki Ikegaya. Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets. Building and Environment. 2024. 247. 111050-111050
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Wei Wang, Tsubasa Okaze. Statistical analysis for predicting low-occurrence strong wind speeds at the pedestrian level in an actual urban case. Building and Environment. 2023. 244. 110781-110781
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N.M. Ali, M.F. Mohamad, W. Wang, C. Hirose, R. Yoshie, N. Ikegaya. Quantifying natural cross-ventilation flow of a two-layered model used for terraced houses in tropical zones by particle image velocimetry. Building and Environment. 2023. 244. 110829-110829
ｍore...
Education (1)：
- 2018 - 2021 Tokyo Institute of Technology
Work history (1)：
- 2023 - 現在 Kyushu University
Association Membership(s) (1)：
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