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“学萃讲坛”第542期——Design Innovation and Topology Optimization
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2016-11-02

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“学萃讲坛”秉承学名家风范、萃科技精华的理念,以学术为魂,以育人为本,追求技术创新,提升学术品位,营造浓郁学术氛围,共品科技饕餮盛宴!

报告题目:Design Innovation and Topology Optimization

报告人:贾海昌教授

时间:2016年11月03日下午3:30

地点:机电工程学院会议室61#3045

主办单位:科学技术研究院

承办单位:机电工程学院

内容简介:Traditional design innovation process often requires costly trial-and-errors. To overcome this difficulty, a new design paradigm based on topology optimization is presented. Topology optimization is very attractive to designers because they can begin the process with a clean slate with nominal functional specifications such as allowable design domain, forces, and boundary conditions, and obtain the optimal solutions directly. In this presentation, design examples and applications from topology optimization are demonstrated, and the current state as well as the future directions of topology optimization will be discussed.

报告人简介:Professor Hae Chang Gea received his Ph.D. from the University of Michigan, Ann Arbor, in 1993. He is a Professor in the Department of Mechanical and Aerospace Engineering, Rutgers University. He is also served as the Undergraduate Program Director (2008-2011) and the Graduate Program Director (2011-2015) in the department. Professor Gea has been appointed as the Director and Program Chair of Rutgers Packaging Engineering Program in the School of Engineering, Rutgers University since 2011. Recently, he is appointed as the Director of Office of International Office at School of Engineering. He has served in the editorial board of many international journals and organizations. His research interests are design optimization, analysis and design with uncertainty.

贾海昌教授分别于1985年在南加利福尼亚大学及1993年在密西根大学获得硕士和博士学位,现任美国罗格斯大学机械航天工程系终身正教授,机械航天工程系研究生主任,包装系主任,2011年教育部直属高校海外高层次文教专家,研究领域设计设计优化、结构分析和不确定性设计,其研究工作分别获得美国国际科学基金会,联邦航空局及福特汽车公司等机构的资助。贾海昌教授两次获得美国机械工程师协会的最佳论文奖,目前担任多个国际杂志的副主编,如Journal of Structural and Multidisciplinary Optimization、International Journal of Reliability and Safety、International Journal for Simulation and Multidisciplinary Design Optimization等。

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