Signal Interpolation Augmented Linear Nonintrusive Reduced-Order Model for Aeroelastic Applications

This study aims to develop a linear nonintrusive reduced-order model (NIROM) for facilitating combined fast parametric analysis and reconstruction of unsteady aerodynamic flow variables by using a novel signal interpolation approach, which is combined with a subspace-identification-based method. The...

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Veröffentlicht in:	AIAA journal 2020-01, Vol.58 (1), p.426-444
Hauptverfasser:	Halder, R, Damodaran, M, Khoo, B. C
Format:	Artikel
Sprache:	eng
Schlagworte:	Aeroelasticity Angle of attack Channels Datasets Empirical analysis Flow Flutter Force distribution Interpolation Mach number Mathematical models Parameters Parametric analysis Radial basis function Reconstruction Reduced order models Signal generation Signal processing Stress concentration Subspace methods Subspaces Time invariant systems Training
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