The response of a fluid moving above a panel to localized oscillation of the panel is predicted using reduced-order modeling (ROM) with the proper orthogonal decomposition technique. The flow is assumed to be inviscid and is modeled with the Euler equations. These nonlinear equations are discretized with a total-variation diminishing algorithm and are projected on to an energy-optimal subspace defined by an energy-threshold criterion applied to a modal representation of time-series data. Results are obtained for a bump oscillating in a March 1.2 flow. ROM is found to reduce the degrees of freedom necessary to simulate the flowfield by three orders of magnitude while preserving solution accuracy. Other observed benefits of ROM include increased allowable time step and robustness to variation of oscillation amplitude.
Reduced-order modeling for flutter prediction
2000
11 Seiten, 22 Quellen
Conference paper
English
FLUTTER PREDICTION USING REDUCED-ORDER MODELING
TIBKAT | 2020
|Reduced-order modeling for flutter prediction
AIAA | 2000
|Flutter Prediction using Reduced-Order Modeling
AIAA | 2020
|Reduced-Order Modeling for Flutter Prediction
British Library Conference Proceedings | 2000
|