关注
WANG Wei
WANG Wei
在 m.titech.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Computer vision-based concrete crack detection using U-net fully convolutional networks
Z Liu, Y Cao, Y Wang, W Wang
Automation in Construction 104, 129-139, 2019
6162019
Comparison of hexahedral, tetrahedral and polyhedral cells for reproducing the wind field around an isolated building by LES
W Wang, Y Cao, T Okaze
Building and Environment 195, 107717, 2021
822021
Statistical analysis of low-occurrence strong wind speeds at the pedestrian level around a simplified building based on the Weibull distribution
W Wang, T Okaze
Building and Environment 209, 108644, 2022
332022
Numerical modeling and optimization of a winged box-type floating breakwater by Smoothed Particle Hydrodynamics
Z Liu, Y Wang, W Wang, X Hua
Ocean Engineering 188, 106246, 2019
292019
Proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines
Z Liu, Q Zhou, Y Tu, W Wang, X Hua
Energies 12 (9), 1809, 2019
212019
Numerical analysis of a catenary mooring system attached by clump masses for improving the wave-resistance ability of a spar buoy-type floating offshore wind turbine
Z Liu, Y Tu, W Wang, G Qian
Applied Sciences 9 (6), 1075, 2019
202019
Large eddy simulations of slope effects on flow fields over isolated hills and ridges
Z Liu, W Wang, Y Wang, T Ishihara
Journal of Wind Engineering and Industrial Aerodynamics 201, 104178, 2020
192020
Numerical study of a proposed semi-submersible floating platform with different numbers of offset columns based on the DeepCwind prototype for improving the wave-resistance ability
Z Liu, Y Fan, W Wang, G Qian
Applied Sciences 9 (6), 1255, 2019
172019
Modelling probability density functions based on the Gram–Charlier series with higher-order statistics: Theoretical derivation and application
W Wang, K Seta, N Ikegaya
Journal of Wind Engineering and Industrial Aerodynamics 231, 105227, 2022
122022
Estimating low-occurrence wind speeds from mean velocity and turbulent kinetic energy: development of statistical method and validation with idealized cases
W Wang, T Okaze
Building and Environment 224, 109499, 2022
122022
Comparing Weibull distribution method and Gram–Charlier series method within the context of estimating low-occurrence strong wind speed of idealized building cases
W Wang, N Ikegaya, T Okaze
Journal of Wind Engineering and Industrial Aerodynamics 236, 105401, 2023
82023
Large Eddy simulations of the flow fields over simplified hills with different roughness conditions, slopes, and hill shapes: a systematical study
Z Liu, Y Hu, W Wang
Energies 12 (18), 3413, 2019
82019
Modeling probability density functions of instantaneous velocity components at the pedestrian levels of a building array by Gram–Charlier series
K Seta, W Wang, N Ikegaya
Journal of Wind Engineering and Industrial Aerodynamics 239, 105427, 2023
62023
Turbulent flow fields over a 3D hill covered by vegetation canopy through large eddy simulations
Z Liu, Y Hu, Y Fan, W Wang, Q Zhou
Energies 12 (19), 3624, 2019
62019
Evaluation of polyhedral mesh performance for large-eddy simulations of flow around an isolated building within an unstable boundary layer
Y Li, W Wang, T Okaze
Building and Environment 235, 110207, 2023
42023
Quantifying natural cross-ventilation flow of a two-layered model used for terraced houses in tropical zones by particle image velocimetry
NM Ali, MF Mohamad, W Wang, C Hirose, R Yoshie, N Ikegaya
Building and Environment 244, 110829, 2023
32023
Statistical analysis for predicting low-occurrence strong wind speeds at the pedestrian level in an actual urban case
W Wang, T Okaze
Building and Environment 244, 110781, 2023
32023
Correlations among high-order statistics and low-occurrence wind speeds within a simplified urban canopy based on particle image velocimetry datasets
F Li, C Hirose, W Wang, CH Liu, N Ikegaya
Building and Environment 247, 111050, 2024
22024
Comparison of various statistical methods for estimating extreme wind speed at the pedestrian level in idealized and actual urban areas
W Wang, T Sekikawa, T Okaze, N Ikegaya
Journal of Wind Engineering and Industrial Aerodynamics 250, 105778, 2024
2024
Comparing annual extreme winds in Iran predicted by numerical weather forecasting and Gram-Charlier statistical model with meteorological observation data
L Mahmoudi, W Wang, N Ikegaya
Building and Environment, 111726, 2024
2024
系统目前无法执行此操作,请稍后再试。
文章 1–20