Towards Industrial Large Eddy Simulation Using the High-order FR/CPR Method
Prof. Z.J. Wang will spend the coming fours weeks in our group as visiting professor. He is Spahr Professor of Aerospace Engineering at the University of Kansas (KU). 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, large eddy simulation of transitional and bio-inspired flow problems, high performance computing on CPU and GPU clusters, geometry modeling and grid generation. Prof. Wang 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.
Prof. Wang will give a talk entitled
Towards Industrial Large Eddy Simulation Using the High-order FR/CPR Method
on Thursday, 25.10.2018 in the Colloquiumzaal (28 Building Van Mourik Broekmanweg 6 0.E420) at 16:00-17:00.
The abstract of this talk is as follows:
Flow over aerospace vehicles and through jet engines are very challenging to compute due to the complex geometries and turbulent flow physics at high Reynolds numbers. The potential offered by large eddy simulations (LES) to compute transitional and turbulent flows has been well-known for many years. That potential may be finally realized with the development of adaptive high-order methods capable of handling complex geometries. In this talk, we will examine key factors affecting the quality of solutions obtained with LES, and review recent progresses in the development of the flux reconstruction (FR)/correction procedure via reconstruction (CPR) method into a LES tool for the design of aerospace vehicles:
- High-order mesh generation
- Sub-grid scale models
- Efficient time marching
Several demonstration problems will be presented and possible future work will be discussed.