WANG WEI ＷＡＮＧＷＥＩ

Researcher Number	20968169
Other IDs
Affiliation (Current)	2026: 九州大学, 総合理工学研究院, 助教
Affiliation (based on the past Project Information) *help	2023 – 2024: 九州大学, 総合理工学研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 23020:Architectural environment and building equipment-related Except Principal Investigator Basic Section 23020:Architectural environment and building equipment-related
Keywords	Principal Investigator Weather condition / Urban morphology / Wind environment / Gust wind speed / Gram Charlier series / Weibull distribution / Large-eddy simulation / Probability density / Urban wind environment / Method of moments / Mixture distribution / Extreme wind speed … More Except Principal Investigator … More 速度計測 / 濃度計測 / 帰納的手法 / 都市キャノピー / 濃度場 / 速度場 / 機械学習 / 強風推定 / 都市換気 / 通風換気 / 風洞実験 Less

Simultaneous multi-variable measurements of velocity and scalar fields for inductive environmental assessment
- Principal Investigator
  
  池谷直樹
- Project Period (FY)
  2024 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 23020:Architectural environment and building equipment-related
- Research Institution
  Kyushu University
Development of general statistical methods for estimating gust wind speed in different urban morphology and weather conditions based on the Weibull distributionPrincipal Investigator
- Principal Investigator
  
  WANG WEI
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 23020:Architectural environment and building equipment-related
- Research Institution
  Kyushu University

All 2025 2024 2023

All Journal Article Presentation

[Journal Article] Comparing RANS- and LES-based statistical methods for determining low-occurrence strong wind speeds in an actual urban area2025
- Author(s)
  Wang Wei、Yang Tingjun、Li Yezhan、Ikegaya Naoki
- Journal Title
  
  Building and Environment
  
  Volume: 269 Pages: 112464-112464
- DOI
  10.1016/j.buildenv.2024.112464
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K13454
[Journal Article] Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments2025
- Author(s)
  Wang Wei、Gao Yishuai、Ikegaya Naoki
- Journal Title
  
  Journal of Wind Engineering and Industrial Aerodynamics
  
  Volume: 257 Pages: 106001-106001
- DOI
  10.1016/j.jweia.2024.106001
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K13454
[Journal Article] Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets2024
- Author(s)
  Li Fei、Hirose Chiyoko、Wang Wei、Liu Chun-Ho、Ikegaya Naoki
- Journal Title
  
  Building and Environment
  
  Volume: 247 Pages: 111050-111050
- DOI
  10.1016/j.buildenv.2023.111050
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K14305, KAKENHI-PROJECT-23K26263
[Journal Article] Indoor flow datasets of two-layered cross-ventilation models by particle image velocimetry and hot wire anemometry2024
- Author(s)
  Wang W.、Ikegaya N.、Hirose C.、Mohamad M.F.
- Journal Title
  
  Data in Brief
  
  Volume: 52 Pages: 109856-109856
- DOI
  10.1016/j.dib.2023.109856
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K14305, KAKENHI-PROJECT-23K26263
[Journal Article] Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset2024
- Author(s)
  Li Y.、Wang W.、Okaze T.、Ikegaya N.
- Journal Title
  
  Sustainable Cities and Society
  
  Volume: 115 Pages: 105837-105837
- DOI
  10.1016/j.scs.2024.105837
- Data Source
  KAKENHI-PROJECT-23K26263
[Journal Article] Comparison of various statistical methods for estimating extreme wind speed at the pedestrian level in idealized and actual urban areas2024
- Author(s)
  Wang Wei、Sekikawa Takeru、Okaze Tsubasa、Ikegaya Naoki
- Journal Title
  
  Journal of Wind Engineering and Industrial Aerodynamics
  
  Volume: 250 Pages: 105778-105778
- DOI
  10.1016/j.jweia.2024.105778
- Data Source
  KAKENHI-PROJECT-23K26263, KAKENHI-PROJECT-23K17789
[Journal Article] Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods2024
- Author(s)
  Li Y.、Wang W.、Ikegaya N.
- Journal Title
  
  Building and Environment
  
  Volume: 250 Pages: 111171-111171
- DOI
  10.1016/j.buildenv.2024.111171
- Data Source
  KAKENHI-PROJECT-23K26263, KAKENHI-PROJECT-23K17789
[Journal Article] Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data2024
- Author(s)
  Mahmoudi Leila、Wang Wei、Ikegaya Naoki
- Journal Title
  
  Building and Environment
  
  Volume: 261 Pages: 111726-111726
- DOI
  10.1016/j.buildenv.2024.111726
- Data Source
  KAKENHI-PROJECT-23K26263, KAKENHI-PROJECT-23K17789
[Presentation] Low-occurrence strong wind speed in idealized building cases: Comparison of estimation methods2023
- Author(s)
  Wang Wei, Ikegaya Naoki
- Organizer
  International Conference on Wind Engineering (ICWE16)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K13454

1. 池谷直樹 (70628213)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
2. 廣瀬智陽子

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results

WANG WEI ＷＡＮＧ ＷＥＩ

Research Projects

Research Products

Co-Researchers

Simultaneous multi-variable measurements of velocity and scalar fields for inductive environmental assessment

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of general statistical methods for estimating gust wind speed in different urban morphology and weather conditions based on the Weibull distributionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Comparing RANS- and LES-based statistical methods for determining low-occurrence strong wind speeds in an actual urban area2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Indoor flow datasets of two-layered cross-ventilation models by particle image velocimetry and hot wire anemometry2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Comparison of various statistical methods for estimating extreme wind speed at the pedestrian level in idealized and actual urban areas2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data2024

Author(s)

Journal Title

DOI

Data Source

[Presentation] Low-occurrence strong wind speed in idealized building cases: Comparison of estimation methods2023

Author(s)

Organizer

Data Source

WANG WEI ＷＡＮＧＷＥＩ