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UID:0-398@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20180416T163000

DTEND;TZID=Asia/Jerusalem:20180416T163000

DTSTAMP:20230530T175521Z

URL:https://aerospace.technion.ac.il/events/multi-output-autoregressive-ae
 roelastic-system-identification-and-flutter-prediction/

SUMMARY:Multi-Output Autoregressive Aeroelastic System Identification and F
 lutter Prediction
DESCRIPTION:Lecturer:Matan Argaman\n Faculty:Department of Aerospace Engine
 ering\n Institute:Technion – Israel Institute of Technology\n Location:C
 lassroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstract
 : \n Details: \n Flutter analysis in the production environment is typical
 ly based on linear models\, where the structure is modeled via a finite-el
 ement model\, and the aerodynamics via a linear panel code. The main defic
 iency of linear panel codes is their inability to estimate the unsteady ae
 rodynamic forces accurately\, and consequently the flutter onset\, in the 
 transonic regime. Computational Fluid Dynamics (CFD) codes can accurately 
 predict the flow field about complex\, realistic configurations in all fli
 ght regimes\, but a direct transient-response simulation is computationall
 y expensive and therefore not a valid tool for flutter prediction.\n\nThe 
 current study presents CFD-based flutter prediction methodology via reduce
 d-order modeling of the aeroelastic system. The aeroelastic system is mode
 led as a Multi-Output Autoregressive process\, and the model parameters ar
 e identified based on aeroelastic responses simulated in a CFD code. The a
 eroelastic system is identified at a few sub-critical (pre-flutter) dynami
 c pressure values. Flutter onset is then determined from stability paramet
 ers that are computed for the two dominant aeroelastic modes. The methodol
 ogy is demonstrated on three test cases - a linear 2D airfoil\, transonic 
 2D flutter with reference wind tunnel test data\, and a generic transport 
 aircraft model.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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DTSTART:20180323T030000

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