Gust Analysis using Computational Fluid Dynamics Derived Reduced Order Models

Timme, S ORCID: 0000-0002-2409-1686, Badcock, KJ and Da Ronch, A (2017) Gust Analysis using Computational Fluid Dynamics Derived Reduced Order Models. Journal of Fluids and Structures, 71. pp. 116-125.

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Abstract

Time domain gust response analysis based on large order nonlinear aeroelastic models is computationally expensive. An approach to the reduction of nonlinear models for gust response prediction is presented in this paper. The method uses information on the eigenspectrum of the coupled system Jacobian matrix and projects the full order model, through a series expansion, onto a small basis of eigenvectors which is capable of representing the full order model dynamics. The novelty in the paper concerns the representation of the gust term in the reduced model in a manner consistent with standard synthetic gust definitions, allowing a systematic investigation of the influence of a large number of gust shapes without regenerating the reduced model. Results are presented for the Goland wing/store configuration.

Item Type:	Article
Uncontrolled Keywords:	Aeroelasticity, Gust analysis, CFD, Reduced order model, Worst case gust, Goland wing
Depositing User:	Symplectic Admin
Date Deposited:	27 Mar 2017 10:01
Last Modified:	19 Jan 2023 07:08
DOI:	10.1016/j.jfluidstructs.2017.03.004
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3006647