AIWE- Artificial Intelligence for Wind Engineering

AIWE- Artificial Intelligence for Wind Engineering

Artificial Intelligence for Wind Engineering Lab

Publications

2022

2

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

Aerodynamic Characteristics of a Square Cylinder with Vertical‐Axis Wind Turbines at Corners
—applied sciences

2021

15

Machine learning-based prediction of crosswind vibrations of rectangular cylinders
—Journal of Wind Engineering and Industrial Aerodynamics

Machine learning-enabled estimation of crosswind load effect on tall buildings
—Journal of Wind Engineering and Industrial Aerodynamics

Aerodynamic characteristics of a square cylinder with corner fins
—Advances in Bridge Engineering

Pressure Pattern Recognition in Buildings Using an Unsupervised Machine Learning Algorithm
—Journal of Wind Engineering and Industrial Aerodynamics

Dynamics of a Y-shaped semi-submersible floating wind turbine: a comparison of concrete and steel support structures
—Ships and Offshore Structures

Mode interpretation of interference effects between tall buildings in tandem and side-by-side arrangement with POD and ICA. Eng
—Engineering Structures

Effects of corner modifications on wind loads and local pressures on walls of tall buildings
—Building Simulation

Large-eddy simulation of wind-driven flame in the atmospheric boundary layer
—International Journal of Thermal Sciences

Machine learning based prediction of piezoelectric energy harvesting from wake galloping
—Mechanical Systems and Signal Processing

Implementing ensemble learning methods to predict the shear strength of RC deep beams with/without web reinforcements
—Engineering Structures

Machine learning strategy for predicting flutter performance of streamlined box girders
—Journal of Wind Engineering and Industrial Aerodynamics

New consideration of lateral boundary treatment for meso- and micro-scale nested PBL simulations over complex terrain
—Atmospheric Research

Higher order dynamic mode decomposition of wind pressures on square buildings
—Journal of Wind Engineering and Industrial Aerodynamics

Performance of an omnidirectional piezoelectric wind energy harvester
—Wind Energy

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