UMich/NASA Symposium on

Advances in Turbulence Modeling

Agenda with Presentations *(New)

List of participants

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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.


  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


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



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


Karthik Duraisamy,