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SUMMARY:MechE Colloquium: Toward Analysis and Control of Extreme Aerodynam
 ic Flows
DTSTART:20221206T120000
DTEND:20221206T130000
DTSTAMP:20260929T023903Z
UID:44822dd4b382572c47773f0266278693af90a7c37d8c64c7e3e20064
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Kunihiko Taira\, Computational and Data-Driven Fluid Dyn
 amics Group\, Department of Mechanical and Aerospace Engineering\, Univers
 ity of California\, Los Angeles (UCLA)\nAbstract: Modern air vehicles tryi
 ng to operate in adverse weather or wakes of urban canyons and mountainous
  terrains would be hit by strong large-scale atmospheric disturbances.  I
 n such extreme aerodynamic conditions\, flight control becomes a great cha
 llenge\, if not impossible\, due to the enormous transient forces that the
  vehicles experience.  Currently\, encounters with these extreme flow phe
 nomena limit operations of fixed and rotating wing aircraft\, especially t
 hose that are small to medium in size.  The present study is focused on t
 he analysis\, modeling\, and control of extreme aerodynamic flows\, with u
 nsteadiness far larger in amplitudes than those considered in traditional 
 aerodynamics on a time scale comparable to that of the flow instabilities.
   A major challenge with extreme aerodynamic problems is the complete lac
 k of theoretical foundation and a unified perspective to tackle such compl
 ex nonlinear problems.  The high dimensionality\, strong nonlinearity\, a
 nd multi-scale properties of these extreme flows make effective analysis a
 nd control a tremendous challenge.  Without the reduction of the state va
 riable dimension and extraction of dominant dynamics\, the application of 
 dynamical systems and control theory for flow control remains a difficult 
 task.  Our research group focuses on developing physics-based to model an
 d control complex fluid flows by leveraging data-driven techniques and hig
 h-performance computing.  Equipped with these toolsets\, we extract essen
 tial dynamics to facilitate the development of sparse and reduced-order mo
 dels to design flow control strategies for high-dimensional unsteady fluid
  flows.  We discuss some of the challenges and successes in characterizin
 g\, modeling\, and controlling extreme aerodynamic flows for lifting surfa
 ces.\n\nThis work is supported by the Vannevar Bush Faculty Fellowship and
  the Air Force Office of Scientific Research.\n\nBiography: Kunihiko Taira
  is a Professor of Mechanical and Aerospace Engineering at UCLA working in
  the areas of unsteady aerodynamics and flow control\, leveraging computat
 ional and data-driven techniques. Prior to joining his current institution
 \, he was a faculty member at Florida State University. He received his B.
 S. from the University of Tennessee\, Knoxville\, and his M.S. and Ph.D. f
 rom the California Institute of Technology. He is a recipient of the AFOSR
  Young Investigator Award\, the ONR Young Investigator Award\, and the Van
 nevar Bush Faculty Fellowship.  He is an Associate Fellow of the AIAA and
  serves as an associate editor for the AIAA Journal and the Theoretical an
 d Computational Fluid Dynamics.
LOCATION:MED 0 1418 https://plan.epfl.ch/?room==MED%200%201418 https://epf
 l.zoom.us/j/65387864766
STATUS:CONFIRMED
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