Naoki Ikegaya 研究室

主宰者：Naoki Ikegaya

九州大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（67 件）

[2026] Extreme wind events at the pedestrian level of an actual urban morphology: Statistical correlation and space-time evolution
DOI: https://doi.org/10.1016/j.scs.2026.107121
[2025] Turbulent characteristics in the atmospheric boundary layer under neutral and unstable thermal stratifications based on LES
DOI: https://doi.org/10.1016/j.jweia.2025.106126
[2025] Effective grid scale of large-eddy simulations in various advection schemes using airflow around 1:1:2 block model
DOI: https://doi.org/10.1016/j.buildenv.2025.113060
[2025] Statistical models incorporating mean and standard deviation to predict probability distributions of pedestrian-level wind speed in a realistic urban area
DOI: https://doi.org/10.1016/j.buildenv.2025.113034
[2025] Exploring Ventilation Efficiency through Scalar Transport Equations with existing and new CFD-based indices
DOI: https://doi.org/10.1016/j.buildenv.2025.112942
[2025] Impact of mesh resolutions for reproducing wind gustiness and probability distribution at pedestrian levels for a simplified block array
DOI: https://doi.org/10.1016/j.buildenv.2025.112790
[2025] Identifying the most influential statistics on low-occurring wind speed at pedestrian height for a semi-idealized urban building environment
DOI: https://doi.org/10.1016/j.buildenv.2025.112769
[2025] Validating spatial reproduction of large-eddy simulations with PIV datasets for turbulence statistics at pedestrian level of urban canopy
DOI: https://doi.org/10.1016/j.jweia.2025.106018
[2025] Impact of inflow turbulence and flow Reynolds number on the flow around an isolated building under unstable conditions
DOI: https://doi.org/10.1016/j.jweia.2025.106326
[2025] Influence of the Number of Measuring Point on Singular Modes in Prediction of Pedestrian-level Wind Environment Using Large-eddy Simulation
DOI: https://doi.org/10.5359/jwe.50.29

続きを表示（残り 57 件）

[2025] AIJ guidelines on the applications of large-eddy simulation to pedestrian wind environment: Recommendations and validation benchmarks
DOI: https://doi.org/10.1016/j.jweia.2025.106321
[2025] Prediction of pedestrian-level percentile wind speeds with CNN models using fundamental statistics
DOI: https://doi.org/10.1016/j.buildenv.2025.114139
[2025] Variations in fundamental statistics of wind speeds based on high-frequency meteorological station data in Fukuoka, Japan
DOI: https://doi.org/10.1016/j.jweia.2025.106286
[2025] Influence of inflow thermal stratification on flow and thermal fields around a heated isolated block
DOI: https://doi.org/10.1016/j.buildenv.2025.113969
[2025] POD dimensional reduction for preserving turbulence statistics in urban environment
DOI: https://doi.org/10.1016/j.buildenv.2025.113927
[2025] Mixture Gram–Charlier series method for modelling wind velocity probability distribution in actual urban environments
DOI: https://doi.org/10.1016/j.jweia.2025.106172
[2025] New index and model of transient CO2 diffusion for personal air quality and demand-controlled ventilation in heating and cooling systems
DOI: https://doi.org/10.1016/j.buildenv.2025.113746
[2024] Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data
DOI: https://doi.org/10.1016/j.buildenv.2024.111726
[2024] Pedestrian-level low-occurrence wind speeds in an urban area predicted by artificial neural networks from fundamental statistics
DOI: https://doi.org/10.1016/j.scs.2024.105828
[2024] Net escape velocity, transfer probability, and travel time distributions within a cross-ventilated room model sheltered by urban-like block array
DOI: https://doi.org/10.1016/j.buildenv.2024.111668
[2024] Comprehensive comparisons of RANS, LES, and experiments over cross-ventilated building under sheltered conditions
DOI: https://doi.org/10.1016/j.buildenv.2024.111402
[2024] Predicting low-occurrence wind speed at the pedestrian levels of simplified arrays: Artificial neural network models versus statistical methods
DOI: https://doi.org/10.1016/j.buildenv.2024.111171
[2024] Report on the 19th International Advanced School on Wind Engineering
DOI: https://doi.org/10.5359/jawe.49.37
[2024] Circuit-type Environmental Wind Tunnel at Urban Environmental Laboratory, Kyushu University
DOI: https://doi.org/10.5359/jawe.49.222
[2024] Approximating wind speed probability distributions around a building by mixture weibull distribution with the methods of moments and L-moments
DOI: https://doi.org/10.1016/j.jweia.2024.106001
[2024] Comparing RANS- and LES-based statistical methods for determining low-occurrence strong wind speeds in an actual urban area
DOI: https://doi.org/10.1016/j.buildenv.2024.112464
[2024] Directly determining mean and instantaneous ventilation rates using stereoscopic PIV for single-sided and cross ventilations of a cubic building
DOI: https://doi.org/10.1016/j.scs.2024.106049
[2024] Validation of large eddy simulations in urban wind studies using a new overall area metric
DOI: https://doi.org/10.1016/j.buildenv.2024.112285
[2024] Impact of momentum sources on pedestrian-level peak wind predictions of an urban-like array using large-eddy simulations and statistical models
DOI: https://doi.org/10.1016/j.buildenv.2024.112244
[2024] Turbulence scale and strength analysis in the roughness and inertial sublayers over urban areas: A wind tunnel study
DOI: https://doi.org/10.1016/j.buildenv.2024.112193
[2024] Investigation of coherent structures in turbulent boundary layer above urban building array using proper orthogonal decomposition
DOI: https://doi.org/10.5109/7323365
[2024] Comparisons of experimentally and numerically determined statistics for predicting low-occurrence wind speeds around a 1:1:2 block model
DOI: https://doi.org/10.1016/j.buildenv.2024.112201
[2024] Similarity of the low-occurrence wind profiles within urban turbulent boundary layers of uniform and non-uniform height block arrays
DOI: https://doi.org/10.1016/j.buildenv.2024.112138
[2024] Extrapolating low-occurrence strong wind speeds at pedestrian levels using artificial neural networks trained by a single turbulent dataset
DOI: https://doi.org/10.1016/j.scs.2024.105837
[2024] Comparison of various statistical methods for estimating extreme wind speed at the pedestrian level in idealized and actual urban areas
DOI: https://doi.org/10.1016/j.jweia.2024.105778
[2023] Indoor flow datasets of two-layered cross-ventilation models by particle image velocimetry and hot wire anemometry
DOI: https://doi.org/10.1016/j.dib.2023.109856
[2023] Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets
DOI: https://doi.org/10.1016/j.buildenv.2023.111050
[2023] Statistical analysis of turbulent flow over a building array using LES
DOI: https://doi.org/10.5109/7158035
[2023] Quantifying natural cross-ventilation flow of a two-layered model used for terraced houses in tropical zones by particle image velocimetry
DOI: https://doi.org/10.1016/j.buildenv.2023.110829
[2023] Appropriate Momentum Provision for Numerical Simulations of Horizontally Homogeneous Urban Canopies Using Periodic Boundary Conditions
DOI: https://doi.org/10.1007/s10546-023-00823-z
[2023] Identifying the Distribution and Frequency of Dust Storms in Iran Based on Long-Term Observations from over 400 Weather Stations
DOI: https://doi.org/10.3390/su151612294
[2023] EFFECT OF AIRFLOW DRIVING METHOD ON PROBABILISTIC CHARACTERISTICS OF WIND VELOCITY COMPONENTS IN COMPUTATIONAL FLUID DYNAMICS USING PERIODIC BOUNDARY CONDITION AROUND SIMPLIFIED URBAN CANOPY
DOI: https://doi.org/10.3130/aije.88.609
[2023] Effect of artificial speed of sound in ACM, EDACM, and EMV for two-dimensional cavity flow
DOI: https://doi.org/10.1016/j.compfluid.2023.105985
[2023] Modeling probability density functions of instantaneous velocity components at the pedestrian levels of a building array by Gram–Charlier series
DOI: https://doi.org/10.1016/j.jweia.2023.105427
[2023] Comparing Weibull distribution method and Gram–Charlier series method within the context of estimating low-occurrence strong wind speed of idealized building cases
DOI: https://doi.org/10.1016/j.jweia.2023.105401
[2023] Transfer and escape characteristics of outdoor pollutants into an indoor space sheltered by urban-like block arrays using large-eddy simulations
DOI: https://doi.org/10.1051/e3sconf/202339602004
[2023] Report on the 2023 Annual Meeting of JAWE
DOI: https://doi.org/10.5359/jawe.48.376
[2022] Effect of protruding eave on the turbulence structures over two-dimensional semi-open street canyon
DOI: https://doi.org/10.1016/j.buildenv.2022.109921
[2022] Computational fluid dynamics for cross‐ventilated airflow in an urban building
DOI: https://doi.org/10.1002/2475-8876.12312
[2022] Age of air, purging flow rate, and net escape velocity in a cross-ventilation model sheltered by urban-like blocks using LES
DOI: https://doi.org/10.1016/j.buildenv.2022.109759
[2022] Modelling probability density functions based on the Gram–Charlier series with higher-order statistics: Theoretical derivation and application
DOI: https://doi.org/10.1016/j.jweia.2022.105227
[2022] Stochastic nature of occupants' behavior toward <scp>air‐conditioning</scp> operation in residential buildings
DOI: https://doi.org/10.1002/2475-8876.12293
[2022] Stochastic and statistical characteristics of artificially generated turbulent flow following karman spectrum in a wind-tunnel experiment
DOI: https://doi.org/10.1016/j.jweia.2022.105148
[2022] Applications of wide-ranging PIV measurements for various turbulent statistics in artificial atmospheric turbulent flow in a wind tunnel
DOI: https://doi.org/10.1016/j.buildenv.2022.109590
[2022] Distributions of gust and peak factors at a pedestrian level in a simplified urban canopy obtained by particle image velocimetry
DOI: https://doi.org/10.1016/j.buildenv.2022.109350
[2022] Rigorous mathematical formulation of net escape velocity and net escape probability determining a macroscopic concentration
DOI: https://doi.org/10.1111/ina.13072
[2022] EFFECT OF MOMENTUM PROVISION IN COMPUTATIONAL FLUID DYNAMICS ON TURBULENT STATISTICS IN URBAN BOUNDARY LAYER
DOI: https://doi.org/10.3130/aije.87.145
[2022] Wind-tunnel estimation of mean and turbulent wind speeds within canopy layer for urban campus
DOI: https://doi.org/10.1016/j.uclim.2021.101064
[2021] COMPUTATIONAL FLUID DYNAMICS FOR CROSS-VENTILATED AIRFLOW IN AN URBAN BUILDING
DOI: https://doi.org/10.3130/aije.87.19
[2021] Momentum-Flux Determination for Boundary Layers with Sufficient Fetch Based on Integral Equations
DOI: https://doi.org/10.1007/s10546-021-00651-z
[2021] Numerical investigation on the effect of building overhang on the flow within idealised two-dimensional street canyon / Muhammad Fatih Ibrahim …[et al.]
[2021] Consideration of artificial compressibility for explicit computational fluid dynamics simulation
DOI: https://doi.org/10.1016/j.jcp.2021.110524
[2021] Large-eddy simulation of flow around an isolated building: A step-by-step analysis of influencing factors on turbulent statistics
DOI: https://doi.org/10.1016/j.buildenv.2021.108021
[2021] Indoor airflow and thermal comfort in a cross-ventilated building within an urban-like block array using large-eddy simulations
DOI: https://doi.org/10.1016/j.buildenv.2021.107811
[2021] Turbulence Effect of Urban-Canopy Flow on Indoor Velocity Fields under Sheltered and Cross-Ventilation Conditions
DOI: https://doi.org/10.3390/su13020586
[2021] Brief Reports on PIV Wide-Area Measurements and Instantaneous Velocity Evaluation for Wind Environmental Assessments
DOI: https://doi.org/10.5359/jawe.46.193
[2021] Miscellaneous Thoughts on Collaboration in CSIRO and NCAR
DOI: https://doi.org/10.5359/jawe.46.45

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。

AI 要約（直近 5 年の研究成果）

外部リンク

関連研究室

研究成果（67 件）

科研費（0 件）

所属学会・役職（0 件）