Keynote Lectures
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Keynote Lectures

Gang Hu

Schermata 2022-06-17 alle 15.52.50

“Artificial Intelligence-powered Wind Engineering”

The development of wind engineering has a long history of almost one century. Wind tunnel testing, field measurements, and computational fluid dynamics have played significant roles in the past and they will still be indispensable in wind engineering in the foreseeable future. The emergence of artificial intelligence (AI) could be a game-changing technique on the basis of the aforementioned techniques to evaluate wind effects on structures, mitigate wind loading, and assess urban wind environment. This presentation will focus on a series of applications of AI in addressing these wind engineering issues completed by the research group recently. It will include but not limited to (1) machine learning-enabled fast prediction of wind effects on circular cylinders, rectangular cylinders and tall buildings; (2) deep learning-based investigation of wind pressures on tall building under interference effects; (3) machine learning strategy for predicting flutter performance of streamlined box girders; (4) a framework of super-resolution reconstruction of wind pressures on wind-sensitive structures based on limited sensors in structural health monitoring system; (5) deep learning-based real-time prediction and forecasting of 3D high resolution urban wind field based on sparse meteorological sensors; (6) TensorFOAM: a general python platform of coupling deep reinforcement learning (DRL) and OpenFOAM for easy applying DRL in fluid mechanics; and (7) DRL-based active flow control of circular cylinders, rectangular cylinders, and bridge decks. Results show the great promise of applying AI to power wind engineering applications and research.

Dr. Hu is currently a Professor in the School of Civil and Environmental Engineering at Harbin Institute of Technology Shenzhen Campus (HITsz), and the director of Artificial Intelligence for Wind Engineering (AIWE) lab at HITsz. He received his PhD in Structural Engineering from Hong Kong University of Science and Technology in 2015. Before joining HITsz, he worked in the Centre of Wind, Wave, Water at the University of Sydney from December 2017 to December 2019, and the CLP Power Wind/Wave Tunnel
Facility at the Hong Kong University of Science and Technology from September 2015 to November 2017. He has a track record undertaking wind engineering research for 13 years since 2009 and published 70 papers in international peer-reviewed journals. His research interests include wind engineering and small-scale wind energy harvesting by using wind tunnel testing, CFD, and artificial intelligence techniques. He is one of the most active researchers working in application of artificial intelligence in wind engineering in the world. He has already published 11 international journal papers in this field including 7 in JWEIA. One of them published in JWEIA in 2020 was awarded the most cited articles published in the past 3 years. He was successfully selected by China overseas young talent program, a highly prestigious talent program, in December 2020. He has secured 12 million RMB research funds in the past two years for wind engineering research including funds from national key R&D project of China, National Natural Science Foundation of China, and China overseas young talent program.