堪萨斯大学王志坚教授学术报告会

Academic Lecture by Prof. Z.J. Wang at Kansas University

报告人:王志坚 教授

Speaker: Prof. Z.J. Wang

主持人:严红 教授

Host: Prof. Yan Hong

时间:2017524日(星期 上午1030-1200

Time:  May 24, 2017, 1030am-12:00am

地点: 动力与能源学院大楼225会议室

Place: Conference room 225, School of Power & Energy

主题:计算流体动力学的最新发展趋势

Topic: Some recent trends in computational fluid dynamics

 

内容简介:计算流体动力学在军用和民用飞机的设计中发挥了重要作用。在这次报告中,我们回顾了CFD中的最新发展,并尝试对于一些近期的发展趋势提出我个人的观点。特别是以下几种研究课题的进展会对计算流体力学产生重要的影响:1.高阶方法2.高阶网格生成3.大涡模拟4.基于网格适应性的方法5.超大规模并行计算的标量算法6.大数据及设计

 

Brief Introduction: Computational fluid dynamics has played a major role in the design of military and civilian aircraft. In this talk, we review the state of the art in CFD, and attempt to offer a personal perspective on some recent trends. In particular, we believe progress in the following research topics will have a major impact:

1.High order methods; 2.High-order mesh generation; 3.Large eddy simulation; 4.Solution based mesh adaptations; 5.Scalar algorithms on extreme-scale parallel computers; 6.Large data and designs.

 

 

报告人简介

王志坚, 美国堪萨斯大学航空工程系教授。1990年于英国Glasgow大学航空工程系获博士学位,之后他在GlasgowOxford进行了博士后研究,之后1991年他在Huntsville(Alabama)一家CFD研究公司担任研究工程师,之后成为技术研究员。王志坚教授于2000年担任美国密歇根州立大学机械工程系副教授2005加入爱荷华州立大学航空工程系,2012加入堪萨斯大学航空工程系。研究领域包括用于求解N-S方程的适应性高阶方法,针对结构化、非结构化、嵌套以及适应性笛卡尔网格的算法及求解器开发,计算气动声学,计算电磁学,针对转捩及仿生学流动问题的大涡模拟,CPUGPU集群高性能计算,几何建模与网格生成等。他于2008年被格拉斯哥大学授予工程科学博士学位。他是AIAA研究员。

 

Speaker’s Biography

Z.J. Wang, Spahr Professor and Chair of Aerospace Engineering at the University of Kansas (KU), received his Ph.D. in Aerospace Engineering from the University of Glasgow in 1990. Then he conducted post-doctoral research in Glasgow and Oxford before joining CFD Research Corporation in Huntsville, Alabama in 1991 as a Research Engineer, and later becoming a Technical Fellow. In 2000, he joined the faculty of Michigan State University as an Associate Professor of Mechanical Engineering. In 2005 he returned to Aerospace Engineering at ISU. In 2012 he joined KU’s Aerospace Engineering Department. His research areas include adaptive high-order methods for the Navier-Stokes equations, algorithm and flow solver development for structured and unstructured, overset and adaptive Cartesian grids, computational aeroacoustics and electromagnetics, large eddy simulation of transitional and bio-inspired flow problems, high performance computing on CPU and GPU clusters, geometry modeling and grid generation. He was awarded the degree of Doctor of Science in Engineering by the University of Glasgow in 2008. He is an AIAA Fellow.