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Tackling the Complex Dynamics of Unsteady Flows

Friday, May 21, 2021
3:00pm to 4:00pm
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Kunihiko Taira
Kunihiko Taira, Associate Professor, Mechanical and Aerospace Engineering, UCLA,

Controlling the behavior of flows around air, marine, and ground vehicles can greatly enhance their performance, efficiency, and safety. The high-dimensionality, strong nonlinearity, and multi-scale properties of these flows make effective control a tremendous challenge. Without the reduction of the state variable dimension and extraction of important dynamics, the application of dynamical systems and control theory for flow control remains a difficult task. Our research group focuses on developing physics-based approaches to model and control complex fluid flows by leveraging modal analysis, data science, network science, machine learning, and high-performance computing. Equipped with these toolsets, we can extract essential dynamics to facilitate the development of sparse and reduced-order models to design flow control techniques for high-dimensional unsteady fluid flows. We discuss some of the challenges and successes in characterizing, modeling, and controlling unsteady bluff-body wakes and stalled flows over wings. The techniques developed here are tested with DNS and LES for validations.

Live Zoom Event: <https://caltech.zoom.us/j/84737586094>

Box Recordings for Caltech: <https://caltech.box.com/s/ktk4t67cwdgqp2eky4duoxcahqqmt9hk>

For more information, please contact Benjamin Riviere by email at [email protected].