HPC for Turbulence Techniques
Wednesday, June 2, 2010, 9:00am – 11:00am, Hall C2.2
- Dr. Marie-Christine Sawley, Senior Scientist, ETH Zurich, CERN Group, Switzerland
Trying to understand the behaviour of fluids is one of the most fascinating and puzzling areas of science. It took many generations of scientists and great minds from Archimedes to Bernouilli, Euler and Stokes -to cite but a few- to build a set of equations capturing the wealth of physical phenomena exhibited by fluids. Still today, large efforts are needed to exploit these equations, which can be applied in a variety of domains (compressible/incompressible, viscous, laminar regime, turbulent flow, etc…).
Since four decades scientists and engineers have put their minds together to extract the maximum from computers and by writing complex codes solving equations governing fluids in very different conditions; hence this is one of the fields which helped in coining the word “Supercomputing” and in shaping its ecosystem ever since. The impact for industrial development grew, the interplay with experiments undertaken in the laboratories became very efficient, paving the way for numerical prototyping. Computational Fluid Dynamics continues to be one of the major drivers for advances for HPC, at the crossroads between applied mathematics, numerical algorithms, visualization and data analysis, complex workflow management and sensor physics.
Turbulent regimes -where different size vortices occur- give rise to phenomena, which are extremely important to understand, exploit or keep under control. In particular, fluids exhibit very interesting behaviour around the point of transition from laminar to turbulent flow. This session will be the opportunity to learn about impressive achievements in different areas, realized thanks to numerical simulations undertaken on a range of HPC systems. Energy production with gas turbines, a major industrial challenge; scientific and technological endeavours in the development of a new source of energy with the ITER project; bio-medical flows and their potential application in designing new bio medical devices.