Flutter Susceptibility Assessment of Airplanes in Sub-critical Regime using Ameliorated Flutter Margin and Neural Network Based Methods

Flutter Susceptibility Assessment of Airplanes in Sub-critical Regime using Ameliorated Flutter Margin and Neural Network Based Methods

As flight flutter testing on an airplane progresses to high dynamic pressures and high Mach number region, it becomes very difficult for engineers to predict the level of the remaining stability in a flutter-prone mode and flutter-prone mechanism when response data is infested with uncertainty. Unce...

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Bibliographic Details
Main Author: Kumar, Brijesh
Other Authors: Omkar, S N
Language:en_US
Published: 2018
Subjects:
Flight Flutter Tests (FFTs)
Flutter Margin Method
Airplanes Flutter Susceptibility Assessment
Flight Flutter Testing
Aircraft Aeroelasticity
Computational Aeroelasticity Analysis
Ameliorated Flutter Margin
Flutter Susceptibility Assessment
Artificial Neural Network (ANN)
Flutter Margin Prediction Equation (FMPE)
Aerospace Engineering
Online Access:http://hdl.handle.net/2005/3124
http://etd.ncsi.iisc.ernet.in/abstracts/3924/G28243-Abs.pdf

Internet

http://hdl.handle.net/2005/3124
http://etd.ncsi.iisc.ernet.in/abstracts/3924/G28243-Abs.pdf

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