UMich/NASA Symposium on

Advances in Turbulence Modeling

Agenda

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When: July 11/12/13, 2017

Where: University of Michigan, Ann Arbor

Registration: Closed on June 26th

Venue: North Quad (School of Information), 105 S State St, Ann Arbor, MI 48109

Parking and Transportation: Ann Arbor is very well-served by Uber and Lyft - from the airport ($30) and within the city (everything is a $5 ride). Besides, it is a very lively and walkable downtown.
Closest place for long term parking will be Liberty square (510 E Washington St, $28/day). Parking near the Amtrak station (depot street) will cost you much less. It is possible to find street parking (2 hr limit) near the conference venue.

Objectives

  1. Discuss the state-of-the-art in turbulence modeling
  2. Place some of the newer developments in RANS modeling (such as uncertainty quantification, data-driven modeling) in the context of main-stream turbulence modeling.
  3. Explore synergies between turbulence theory, ‘traditional’ turbulence modeling routes and `emergent’ ideas
  4. Discuss expectations (and “glass-ceiling”) of turbulence models in analysis, design and decision-making
  5. Discuss the extent to which RANS can be employed in a Wall-modeled LES setting
  6. Provide input for a position paper on the status of turbulence modeling and a vision for the future

Format

Talks (no paper) are solicited in areas related to the objectives of the symposium. For example: Near-wall turbulence modeling; DNS/LES/Experiments focused towards improving/developing turbulence models; data-driven turbulence modeling; uncertainty quantification as related to turbulence modeling; Non-equilibrium turbulence modeling; PDF methods; turbulence theory; advanced second moment closures; novel use of turbulence models; thoughts/predictions regarding the future of turbulent flow prediction; industry perspectives, benchmarking, V&V, etc.

Organizing committee

Timelines

Sponsors

Leading Edge Aeronautics Research for NASA program
and
Center for Data-driven Computational Physics, University of Michigan

Contact

Karthik Duraisamy, kdur@umich.edu