High-Fidelity Industrial LES/DNS Symposium
Paving the Way for Accurate CFD
The simulation of turbulent flows using CFD methods has progressed rapidly over the last decades and has given rise to significant changes in the design processes of many areas of fluid mechanics. However, despite over a century of research, the modelling of turbulence and transition in industrial relevant configurations is still far from being achieved successfully.
With the advent and growing availability of large scale computing power and facilities, a new area of turbulence research is opening with the ability to perform reliable high-fidelity large-eddy simulations (LES) and direct numerical simulations (DNS) for industrial relevant flow configurations.
This availability is opening exciting new avenues towards understanding and modeling turbulence and transition by:
- Direct generation of HiFiLeD to fully predict complex flows, by capturing most or all of the relevant turbulent scales and interactions
- Analyzing in depth the underlying physics, supported in particular by new technologies of Machine Learning
- Confronting available turbulence and transition models, identifying their deficiencies, improving the range of validity of current models and generate new ones
This novel approach of High-Fidelity LES/DNS data has attracted many researchers in recent years, stimulated by other emerging areas, as Big Data, Artificial Intelligence (AI) and Machine Learning (ML), providing new efficient methodologies for interrogating and investigating very large data sets.
- Karthik Duraisamy, University of Michigan, USA: Machine Learning for Turbulence Modelling: Progress, Challenges and Opportunities for Future Research
Philippe Spalart, Boeing, USA: How does knowledge from DNS enter RANS models?
Maria Vittoria Salvetti, Univ. Pisa, Italy: Assessment of accuracy and reliability of LES for complex applications: deterministic vs. stochastic approaches
Paul Tucker, Univ. Cambridge, UK: Challenges and requirements of eddy resolving simulations in turbomachinery
Mujeeb R. Malik, NASA, USA: WRLES and WMLES of RCA Standard Test Cases
Contributions by participants are expected on the following topics, either as presentation, or as organizer of a Mini-Symposium:
- – Understanding Turbulence and Transition from HiFiLeD
– Understanding Turbulence and Transition from new experimental data
– Advances in Turbulence and Transition modelling, based on LES/DNS databases
– Machine Learning applications to LES/DNS analysis and modelling
– New LES/DNS data for reference configurations
– Applications of high fidelity LES/DNS to industrial configurations
– Algorithmic and modelling issues for LES simulations, including Wall Modelled LES (WMLES)
– Advances in high-order methods, including curved grid generation
– HPC related issues on multiple platforms (CPU/GPU)
For more information please visit: www.hifiled-symposium.eu
Date: 14 – 16 November 2018 | Location: Brussels, Belgium, Thon Hotel EU