报告题目：Computational Methods in Transient Multi-phase Flows – mathematical and computational challenges
报 告 人：Professor Chris Thompson, Head of Engineering Computing, Cranfield University, chris.thompson@cranfield.ac.uk
报告时间：2012年05月30日 星期三 上午9:30
报告地点：新主楼B216房间
报告对象：相关专业教师和研究生

报告人简介：
Chris Thompson is Head of the Department of Engineering Computing a post which he has held since August 2005. He is a Fellow of the Institute of Mathematics and its Applications.
He is also the Head of the Applied Mathematics and Computing Group. The Professor of Applied Computation, he is a director of the MSc and PhD programmes run by the Group. After leaving Oxford University with a BA in Mathematics and an MSc in Numerical Analysis, he joined the Applied Maths Group at AEA Technology, Harwell. He has also worked at the Advanced Computer Research Facility, Argonne National Laboratory, Chicago and at Bergen Scientific Centre, IBM. He holds a D Phil from the University of Bergen.

Current research interests include: the application of CFD to industrial processes such as oil transportation, separation and heat exchange. This includes all aspects of multi-phase flow; the development of mathematical models and high accuracy solution algorithms.
This research is enabled by the development of fast, adaptive algorithms for CFD problems and work in advanced computer environments.
He has also worked in other multi-phase flow problems including the field of air craft icing.
He currently leads the Complex Fluids theme in the Transient Multiphase Flow JIP.
He has written over sixty papers in these areas.
His research group is currently supported by ConocoPhillips, Chevron, BP, BG and SPT Group and works in the areas of computational methods and mathematical modelling and advanced computer architectures applied to various multi-phase pipeline flows focussing on accuracy and industrial scale-up.

报告内容简介：
Recent advances in Computational Fluid Dynamics for multi-phase flows and High Performance Computing have enabled prediction of classes of problems of critical industrial importance.
This talk will describe work in Cranfield on two examples of multi-phase flow. The first is that of aircraft icing, the second taken from the oil industry.

The computational methods can give critical information about important engineering quantities.
However, the problems involved are mathematically and computationally challenging and in many cases misleading results can be obtained. The importance of accurate results is critical in that modelling can be used to avoid very expensive trials and is often the only, practical way to scale-up laboratory results to full industrial-scale.
We will also discuss the computing demands in terms of parallel, high performance computing and the important role that computational work flows play in providing the solution to relevant engineering problems.