AIWE- Artificial Intelligence for Wind Engineering

AIWE- Artificial Intelligence for Wind Engineering

AIWE- Artificial Intelligence for Wind Engineering

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News

Predicting wind pressures around circular cylinders using machine learning techniques
Machine learning-based prediction of crosswind vibrations of rectangular cylinders
Machine learning-enabled estimation of crosswind load effect on tall buildingss
Deep learning-based prediction of wind pressures on tall building under interference effects
DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM
A Machine Learning-Augmented Aerodynamic Database of Rectangular Cylinders
Sparse-to-3D: Reconstruction of Urban Turbulent Wind Flow Field Based on Extremely Sparse Wind

Interactive AI Modules

Predicting wind pressures around circular cylinders using machine learning techniques

Machine learning-based prediction of crosswind vibrations of rectangular cylinders

Machine learning-enabled estimation of crosswind load effect on tall buildings

Deep learning-based prediction of wind pressures on tall building under interference effects

DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM

Super-resolution Framework of Wind Pressures in SHM System

Deep Learning-based Real-time Prediction of Wind Field in Cities

Aerodynamic Control of Circular Cylinder based on DRL

Sparse-to-3D: Reconstruction of Urban Turbulent Wind Flow Field Based on Extremely Sparse Wind

Copyright@Gang Hu, Harbin Institute of Technology, Shenzhen, China.