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澳大利亚悉尼大学Kenny Kwok教授和Gang Hu博士学术报告

时间:2019-04-19 阅读:

应深圳大学广东省滨海土木工程耐久性重点实验室的邀请,澳大利亚悉尼大学KennyKwok教授和Gang Hu博士将于2019422日访问深圳大学,进行学术交流与合作研究,并为全体师生做风工程与风能领域系列学术讲座,欢迎感兴趣的师生参与!

 

行程安排如下:

 

1报告题目:High-performance wind energy system for buildings in an urban environment

 

报告人:Prof. Kenny KwokThe University of Sydney

 

报告时间:2019422日上午9:00-10:30

 

报告地点:南校区土木与交通工程学院C501会议室

 

报告内容简介:

This presentation presents the findings of recent research undertaken collaboratively at The University of Sydney, Hong Kong University of Science and Technology and Western Sydney University in the applications of building-integrated wind turbines and other wind power generation systems in an urban environment. These studies focused on the utilisation of building configurations, in particular double-skin façade and through-building opening, to facilitate the integration of wind turbines and other wind energy harvesting devices in buildings for wind power generation. In addition to conventional horizontal axial type wind turbines, a special linear cascade wind turbine, referred to as a PowerWindow, has been studied in details for its potential integration in buildings. Other wind energy harvesting systems based on aerodynamically-modified enhanced aeroelastic response of wind-sensitive bluff bodies, including square prisms which are prone to vortex-induced lock-in and galloping, and circular cylinders which are prone to vortex-induced vibration and lock-in, have also been studied for their potential applications in and around buildings. Wind tunnel model tests were conducted to measure local/global wind flow characteristics and wind pressure/force distributions to study the effects of operating wind speed, in particular critical speed effects, turbulence and wind directionality. These measured results were used to benchmark simulated results using CFD. For the PowerWindow, its performance was also assessed by testing a prototype in a large cross-section wind tunnel.

 

报告人简介:

Professor Kenny Kwok is currently a Professor of Engineering at The University of Sydney. He was previously Professor at Western Sydney University (2008 to 2017), Hong Kong University of Science and Technology (1998-2008) and The University of Sydney (1999-2002). Kenny is also Professor Emeritus in the Department of Civil and Environmental Engineering at Hong Kong University of Science and Technology (HKUST) since 2008. His research interests include wind engineering, structural dynamics, vibration control, human perception of motion, and environmental fluid mechanics, particularly with respect to the dynamic behaviour of tall buildings and flexible structures in strong winds. His research focuses on fundamental aspects of building aerodynamics and wind-structure-occupant-damper interactions, and their practical applications to real life situations. He has published over 500 articles in journals, book chapters, invited and keynote papers, and conference papers. He is a Life Member of the Australasian Wind Engineering Society, Honorary Member of Romania Wind Engineering Society, and a Fellow of the Hong Kong Institution of Engineers and Institution of Engineers, Australia.

 

2报告题目:Addressing Wind Engineering Problems using Wind Tunnel Testing, CFD, and Artificial Intelligence Techniques

 

报告人:Dr. Gang HuThe University of Sydney

 

报告时间:2019422日上午10:30-11:30

 

报告地点:南校区土木与交通工程学院C501会议室

 

报告内容简介:

This presentation will introduce application of traditional tools, e.g. wind tunnel testing (WTT) techniques and computational fluid dynamic (CFD) simulations, and the emerging technique, i.e. artificial intelligence (AI), in the field of wind engineering. WTT and CFD have been used to reveal aerodynamic behaviors of an inclined square cylinder, tall buildings with double-skin façade, tall buildings with vertical-axis wind turbines, and enhance efficiency of piezoelectric wind energy harvesting. An AI prediction model based on WTT datasets has been built to predict wind force acting on circular cylinder for Re ranging from 104 to 106 and turbulence intensity (Ti) ranging from 0% to 15%. This AI model provides very efficient and economical alternative to WTT and CFD simulations for determining wind force around circular cylinders within the studied Re and Ti range. Furthermore, AI technique has been employed to evaluate interference effects between tall buildings.

 

报告人简介:

Dr. Gang HU is currently a postdoctoral research associate at School of Civil Engineering, The University of Sydney. He obtained his bachelor, MPhil, and PhD degree from Central South University (2009), Harbin Institute of Technology (Shenzhen, 2011), and Hong Kong University of Science and Technology (2015) respectively. From 2015/09, he joined the CLP Power Wind/Wave Tunnel Facility at HKUST as a research associate, and served as a postdoc fellow at Department of Civil and Environmental Engineering at HKUST from 2016/09 to 2017/11. From 2017/12 to date, he has been employed as a postdoc research associate at the School of Civil Engineering, The University of Sydney. He is an executive committee member of Hong Kong Wind Engineering Society. His research interests include structural wind engineering, wind energy by using wind tunnel test, CFD, and AI techniques. To date, he has published about 30 papers in international reputable journals.

 

土木与交通工程学院

广东省滨海土木工程耐久性重点实验室

2019419

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