Comparison of different methodologies for the computation of damped nonlinear normal modes and resonance prediction of systems with non-conservative nonlinearities
Comparison of different methodologies for the computation of damped nonlinear normal modes and resonance prediction of systems with non-conservative nonlinearities
The nonlinear modes of a non-conservative nonlinear system are sometimes referred to as damped Nonlinear Normal Modes (dNNMs). Because of the non-conservative characteristics, the dNNMs are no longer periodic. To compute non-periodic dNNMs using classic methods for periodic problems, two concepts have been developed in the last two decades: Complex Nonlinear Mode (CNM) and Extended Periodic Motion Concept (EPMC). A critical assessment of these two concepts applied to different types of non-conservative nonlinearities and industrial full-scale structures has not been thoroughly investigated yet. Furthermore, there exist two emerging techniques which aim at predicting the resonant solutions of a nonlinear forced response using the dNNMs: Extended Energy Balance Method (EEBM) and Nonlinear Modal Synthesis (NMS). A detailed assessment between these two techniques has been rarely attempted in the literature. Therefore, in this work, a comprehensive comparison between CNM and EPMC is provided through two illustrative systems and one engineering application. The EPMC with an alternative damping assumption is also derived and compared with the original EPMC and CNM. The advantages and limitations of the CNM and EPMC are critically discussed. In addition, the resonant solutions are predicted based on the dNNMs using both E-EBM and NMS. The accuracies of the predicted resonances are also discussed in detail.
3077–3107
Sun, Yekai
181c2a74-70e7-40ba-a016-664fb87dd74f
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Vizzaccaro, Alessandra
7318a706-c481-49ce-a1b2-9e26a749605d
Salles, Loïc
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Sun, Yekai
181c2a74-70e7-40ba-a016-664fb87dd74f
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Vizzaccaro, Alessandra
7318a706-c481-49ce-a1b2-9e26a749605d
Salles, Loïc
7c9f2690-2631-4f32-9c2f-07659cf3f19c
Sun, Yekai, Yuan, Jie, Vizzaccaro, Alessandra and Salles, Loïc
(2021)
Comparison of different methodologies for the computation of damped nonlinear normal modes and resonance prediction of systems with non-conservative nonlinearities.
Nonlinear Dynamics, 104, .
(doi:10.1007/s11071-021-06567-0).
Abstract
The nonlinear modes of a non-conservative nonlinear system are sometimes referred to as damped Nonlinear Normal Modes (dNNMs). Because of the non-conservative characteristics, the dNNMs are no longer periodic. To compute non-periodic dNNMs using classic methods for periodic problems, two concepts have been developed in the last two decades: Complex Nonlinear Mode (CNM) and Extended Periodic Motion Concept (EPMC). A critical assessment of these two concepts applied to different types of non-conservative nonlinearities and industrial full-scale structures has not been thoroughly investigated yet. Furthermore, there exist two emerging techniques which aim at predicting the resonant solutions of a nonlinear forced response using the dNNMs: Extended Energy Balance Method (EEBM) and Nonlinear Modal Synthesis (NMS). A detailed assessment between these two techniques has been rarely attempted in the literature. Therefore, in this work, a comprehensive comparison between CNM and EPMC is provided through two illustrative systems and one engineering application. The EPMC with an alternative damping assumption is also derived and compared with the original EPMC and CNM. The advantages and limitations of the CNM and EPMC are critically discussed. In addition, the resonant solutions are predicted based on the dNNMs using both E-EBM and NMS. The accuracies of the predicted resonances are also discussed in detail.
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s11071-021-06567-0
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Accepted/In Press date: 20 May 2021
e-pub ahead of print date: 28 May 2021
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Local EPrints ID: 479022
URI: http://eprints.soton.ac.uk/id/eprint/479022
ISSN: 0924-090X
PURE UUID: 4d95c07e-3a76-4387-bcfb-519317227c91
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Date deposited: 18 Jul 2023 16:45
Last modified: 17 Mar 2024 04:20
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Author:
Yekai Sun
Author:
Jie Yuan
Author:
Alessandra Vizzaccaro
Author:
Loïc Salles
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