Hybrid RANS-LES Methods for Industrial CFD - VI
Overview, Guidance and Examples
22-23 May 2014, The George Washington University
Dr. Charles Mockett - CFD Software GmbH, Berlin, Germany
Open for registration
Turbulence is one of the last remaining challenges in the
simulation of fluid flows. Although RANS (Reynolds-Averaged
Navier Stokes) turbulence models are still very widely used,
these approaches are being slowly supplanted by Large Eddy
Simulation (LES). However, LES is prohibitively expensive
for the industrial simulation of wall-bounded flows,
especially at high Reynolds number. As a result, a family of
Hybrid RANS-LES techniques, of which Detached Eddy
Simulation (DES) is one member, are being increasingly used
for the modelling of flow in and around complex geometries.
Due to the current lack of readily-available expert guidance
on the application of Hybrid RANS-LES techniques, and the
emergence of DES as the tool of the trade, ERCOFTAC has
drawn upon its worldwide network of academic and industrial
experts to provide a training course aimed at an industrial
CFD audience and relevant to a wide range of industry
sectors including: Aerospace, automotive, chemical and
process, civil and built environment, power generation and
the wider engineering community. Specifically, this course
aims to provide:
- An overview of turbulence modelling.
- A firm foundation in the theory and ideas underlying,
RANS, LES and Hybrid RANS-LES techniques.
- Recommendation and guidance for the appropriate and
effective application of Hybrid RANS-LES. Examples from
real-world engineering simulations, using the DES class of
Dr. Charles Mockett
CFD Software Entwicklungs GmbH, and Technische Universität
Prof. Kyle Squires, Arizona State University, U.S.A.
Prof. Philippe Spalart, The Boeing Company, U.S.A.
Prof. Elias Ballaras , The University of George Washington,
Washington D.C., USA
Dr. Harmen van der Ven, National Aerospace Laboratory, The
Mr. Fred Mendonca, CD-adapco Ltd., U.K.
open for registration: firstname.lastname@example.org