应风工程研究中心刘庆宽教授邀请，美国Texas Tech University  的Chen Xinzhong（陈新中）教授将于2010年7月11-12日来学校访问并进行学术交流，期间将进行如下学术报告，请感兴趣的老师和同学参加。

       报告题目：Reliability- and Performance-Based Wind-Resistant Design of Bridges and Buildings: Advanced Modeling and Simulation Techniques

       报告人：Chen Xinzhong（陈新中），Associate Professor of Wind Science and Engineering Research Center, Department of Civil and Environmental Engineering, Texas Tech University, USA.

       报告地点：春晖楼4楼会议室

       报告时间：2010年7月12日上午8:30-11:00

陈教授的简历：

    Dr. Xinzhong Chen is Associate Professor of Wind Science and Engineering Research Center, Department of Civil and Environmental Engineering, Texas Tech University, USA. He received his degree of Dr. Eng. from Kyoto University in Japan in 1995. His research interests include bridge and building aerodynamics, modeling and simulation of wind load effects on dynamically sensitive structures, nonlinear aerodynamics and non-stationary wind load effects, reliability- and performance-based design of structures to extreme wind loading, probabilistic fatigue and extreme response of large wind turbines, structural dynamics and random vibration. He has authored/co-authored over 80 papers, including 36 SCI journal papers which have received over 300 citations since 2001. The main contributions of Dr. Chen’s research include: Development of multimode coupled bridge flutter and buffeting analysis frameworks in both time and frequency domains; Establishment of a new frontier in bridge aerodynamics accounting for the effects of nonlinear aerodynamics and turbulence on bridge aeroelstic response; Establishment of the theoretical basis for the empirical Selberg formula and development of a generic formula for estimating flutter onset wind speed of long span bridges; Comprehensive modeling and analysis of coupled response of wind-excited tall buildings; Development of equivalent static wind load modeling on bridges and buildings; Establishment of a probabilistic framework for estimating extreme response of wind-excited structures.  Dr. Chen is a member of the editorial board of the International Journal Wind and Structures. He has served as a reviewer for many international journals and research founding agencies. He is a member of ASCE/SEI Wind Effect Committee, ASCE/SEI Tall Building Committee, and ASCE/EMI Dynamics Committee.  He has served as session chairs of many international conferences. His research has been founded by US National Science foundation, Department of Energy, and Texas Department of Transportation. 

学术报告内容介绍：

    Design of dynamically sensitive structures such as long-span bridges and tall buildings to strong winds is one of the challenges facing civil engineering today.  This talk will discuss some new developments in bridge and building aerodynamics with a focus on advanced modeling and simulation techniques for better assessing bridge and building performance to wind excitations. Regarding aeroelastic response of long-span bridges, this talk will cover: analysis of multimode coupled bridge flutter; closed-form solution of bimodal coupled flutter with a refined Selberg formula for estimating flutter onset wind speed of bridges with generic deck sections; time domain modeling and simulation of coupled bridge flutter and buffeting; and a nonlinear aerodynamic force model and aeroelastic analysis framework.  Concerning wind load effects of tall buildings, this talk will discuss: high-frequency-force-balance technique for buildings with uncoupled/coupled mode shapes; higher mode contributions to various building responses; and correct estimation of the modal correlation coefficient considering partial correlation of generalized wind forces.  This talk will also address the assessment of extreme wind loads or load effects on structures for given recurrence intervals (MRIs) which is essential for a reliability- and performance-based structural design to wind loading. The extreme value distributions of random Gaussian and non-Gaussian response processes will be discussed.  A practical combination rule will be introduced for estimating the mean extreme of a vectorial resultant response process. A new method for estimating the probability distribution of annual maximum structural response will be presented that combines the distribution of annual maximum wind speed and the extreme value distribution of structural response conditional on mean wind speed. The characteristic structural response with a target MRI and wind load factor for both rigid and flexible structures will be discussed which will help in better defining design wind loads on structures to achieve reliability- and performance-based design.