2015
DOI: 10.1007/s11071-015-2544-9
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Nonlinear reduced-order modelling for limit-cycle oscillation analysis

Abstract: A nonlinear model reduction based on eigenmode decomposition and projection for the prediction of sub-and supercritical limit-cycle oscillation is presented herein. The paper focuses on the derivation of the reduced-order model formulation to include expansion terms up to fifth order such that higher-order nonlinear behaviour of a physical system can be captured. The method is applied to a two degree-of-freedom pitch-plunge aerofoil structural model in unsteady incompressible flow. Structural stiffness nonline… Show more

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Cited by 11 publications
(4 citation statements)
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“…Although this study has focussed on cubic non-linearities, the method presented here could equally be used to refine limit cycle predictions for other non-linearity types arising in engineering applications. Furthermore, many non-linear aeroelastic analysis studies adopt a state-space representation for the unsteady aerodynamics, which is possible using reduced order models, as in [37], for example. The method presented here would be anticipated to be applicable in these cases also.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although this study has focussed on cubic non-linearities, the method presented here could equally be used to refine limit cycle predictions for other non-linearity types arising in engineering applications. Furthermore, many non-linear aeroelastic analysis studies adopt a state-space representation for the unsteady aerodynamics, which is possible using reduced order models, as in [37], for example. The method presented here would be anticipated to be applicable in these cases also.…”
Section: Discussionmentioning
confidence: 99%
“…The determinantal equation (37) will have infinitely many solutions of the form Ž ± . In principle, Equation (37) could be solved approximately by taking a finite number of rows and columns in the determinant.…”
Section: Stability Analysismentioning
confidence: 99%
“…The fourth step is to reduce Eq. (8) to its first-order center manifold [32,33,36,37]. For a system encompassing only third order nonlinearities, this corresponds to neglect variables not related to the bifurcation, i.e.…”
Section: Criticality Analysismentioning
confidence: 99%
“…However, the solution of full-models with many degrees of freedom entails a large computational cost. In order to reduce this cost, reduced-order models (ROMs) are introduced and, very often, researchers used a limited number of DOFs -generally six to eight [2][3][4][5][6][7][8][9] -in the analysis of nonlinear flutter of plates. The main goal of this study is quantifying the degree of approximation of ROMs with respect to its associated FOM, in plates subjected to supersonic airflow.…”
Section: Introductionmentioning
confidence: 99%