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DESCRIPTION:Speaker: Kunihiko (Sam) Taira, UCLA
Talk Title: Network-Based Characterization, Modeling, and Control of Fluid Flows
Abstract: The network of interactions among fluid elements and coherent structures gives rise to the amazingly rich dynamics of vortical flows. To describe these interactions, we consider the use of mathematical tools from the emerging field of network science that is comprised of graph theory, dynamical systems, data science, and control theory. In this presentation, we discuss ways to describe unsteady fluid flows with vortical interaction, modal-interaction, and probability transition networks. The insights gained from these formulations can be used to characterize, model, and control laminar and turbulent flows. We will also discuss some of the challenges of applying network based techniques to fluid flows and the prospects of addressing them through data-inspired techniques.
Biography: Kunihiko (Sam) Taira is an Associate Professor of Mechanical and Aerospace Engineering at UCLA. His research focuses on computational fluid dynamics, flow control, and network science. He received his B.S. degree from the University of Tennessee, and his M.S. and Ph.D. degrees from the California Institute of Technology. He is a recipient of the 2013 U.S. Air Force Office of Scientific Research and 2016 Office of Naval Research Young Investigator Awards.
Host: AME Department
More Info: https://ame.usc.edu/seminars/
SEQUENCE:5
DTSTART:20190918T153000
LOCATION:SLH 102
DTSTAMP:20190918T153000
SUMMARY:AME Seminar
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DTEND:20190918T163000
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