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AEM Seminar: Systems analysis of wall turbulence: Characterizing natural and synthetic self-sustaining processes

Beverley McKeon, Professor, Caltech

2:30 PM on 2017-04-14


The financial and environmental cost of turbulence is staggering: manage to quell turbulence in the thin boundary layers on the surface of a commercial airliner and you could almost halve the total aerodynamic drag, dramatically cutting fuel burn, emissions and cost of operation. Yet systems-level tools to model scale interactions or control turbulence remain relatively under-

developed. The resolvent analysis for turbulent flow proposed by McKeon & Sharma (J. Fluid Mech, 2010) provides a simple, but rigorous, approach by which to deconstruct the full turbulence field into a linear combination of (interacting) modes. After a brief review of some key results that can be obtained by analysis of the linear resolvent operator concerning the statistical and structural make-up of wall turbulence, I will describe some of our recent progress towards determining how to reconstruct self-sustaining turbulent systems, both natural and synthetic. Implications for both the classical picture of wall turbulence and control of turbulent flows will be discussed.

Bio:

Beverley McKeon is Theodore von Karman Professor of Aeronautics and Associate Director of the Graduate Aerospace Laboratories at Caltech (GALCIT). Her research interests include interdisciplinary approaches to manipulation of boundary layer flows using morphing surfaces and fundamental investigations of wall turbulence at high Reynolds number. She was the recipient of a Presidential Early Career Award (PECASE) in 2009 and an NSF CAREER Award in 2008, and is an APS Fellow and AIAA Associate Fellow. She currently serves as editor-in-

chief of Experimental Thermal and Fluid Science and on the editorial boards of the AIAA J.,Annual Review of Fluid Mechanics, Experiments in Fluids and Physics Review Fluids. She is the APS representative to the US National Committee on Theoretical and Applied Mechanics.


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