Abstract:

The ability to control fluid flow behaviors can lead to quiet, economical, and efficient systems in fluid mechanics and aerodynamics. Because of high dimensionality, strong nonlinearity, and complexity in fluid physics, the design of effective control strategies can be challenging. My research focuses on uncovering the underlying physics of complex fluid flows using the cutting-edge technique of modal analysis. The insights obtained from various types of modal analysis provide guidance for physics-driven control designs. In this talk, global stability analysis, resolvent analysis, and modal decomposition methods are adopted to guide parameter selection for control designs aimed at (1) suppressing fluctuations in flows over long rectangular cavities; (2) reducing the strength of wingtip trailing vortices, and (3) identifying optimal actuation strategy for supersonic jet flow. All the control performance and the physical control mechanisms are further investigated using high-fidelity large-eddy and direct numerical simulations.

Bio:

Dr. Yiyang Sun is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Syracuse University. Prior to joining Syracuse University, Dr. Sun was a Postdoctoral Associate in the Department of Aerospace Engineering and Mechanics at the University of Minnesota, Twin Cities. She earned her Ph.D. degree in Mechanical Engineering from Florida State University in 2017, and her B.S. degree in Naval Architecture and Ocean Engineering from Huazhong University of Science and Technology in 2012. Her research interests focus on understanding the underlying physics of fluid flows and designing physics-driven control strategies using computational fluid dynamics and modal analysis.