Numerically assessing the relative significance of nonlinear normal modes to forced responses
Numerically assessing the relative significance of nonlinear normal modes to forced responses
Nonlinear normal modes, which describe the unforced, undamped responses of nonlinear systems, are often used for understanding the dynamic behaviour of nonlinear structures in engineering. As such, a key property of nonlinear normal modes (NNMs) is that they relate to the dynamic behaviour of the system when forcing and damping are applied. Previous work has shown that an extremely large number of NNMs may be predicted for relatively simple systems; however only a small number of these NNMs have a meaningful influence on the forced and damped dynamics. As such, a method for determining which NNMs are significant (i.e., strongly relate to the forced dynamics) and which are not is crucial for the use of NNMs as a tool for understanding nonlinear systems.
As shown in the literature, NNMs only relate to the forced dynamics in the presence of a mechanism for energy transfer between resonating components of the system. Whilst this provides an understanding of the mechanism, computing which NNMs exhibit this property requires detailed analytical analysis. In this paper, we discuss a numerical approach for determining the degree of significance, with respect to the forced responses, of the NNMs. Such an approach removes the need for analytical investigation and provides an efficient and practical approach to determining the significance of the NNMs.
317-326
Hill, T.L.
96922dda-e993-4889-a519-5f89fe6ebca8
Neild, S.A.
e11b68bb-ddff-4cac-a8a7-798cc3cc3891
Cammarano, A.
c0c85f55-3dfc-4b97-9b79-e2554406a12b
7 June 2018
Hill, T.L.
96922dda-e993-4889-a519-5f89fe6ebca8
Neild, S.A.
e11b68bb-ddff-4cac-a8a7-798cc3cc3891
Cammarano, A.
c0c85f55-3dfc-4b97-9b79-e2554406a12b
Hill, T.L., Neild, S.A. and Cammarano, A.
(2018)
Numerically assessing the relative significance of nonlinear normal modes to forced responses.
Kerschen, Gaetan
(ed.)
In Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018.
Springer Cham.
.
(doi:10.1007/978-3-319-74280-9_34).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Nonlinear normal modes, which describe the unforced, undamped responses of nonlinear systems, are often used for understanding the dynamic behaviour of nonlinear structures in engineering. As such, a key property of nonlinear normal modes (NNMs) is that they relate to the dynamic behaviour of the system when forcing and damping are applied. Previous work has shown that an extremely large number of NNMs may be predicted for relatively simple systems; however only a small number of these NNMs have a meaningful influence on the forced and damped dynamics. As such, a method for determining which NNMs are significant (i.e., strongly relate to the forced dynamics) and which are not is crucial for the use of NNMs as a tool for understanding nonlinear systems.
As shown in the literature, NNMs only relate to the forced dynamics in the presence of a mechanism for energy transfer between resonating components of the system. Whilst this provides an understanding of the mechanism, computing which NNMs exhibit this property requires detailed analytical analysis. In this paper, we discuss a numerical approach for determining the degree of significance, with respect to the forced responses, of the NNMs. Such an approach removes the need for analytical investigation and provides an efficient and practical approach to determining the significance of the NNMs.
This record has no associated files available for download.
More information
e-pub ahead of print date: 6 June 2018
Published date: 7 June 2018
Identifiers
Local EPrints ID: 491079
URI: http://eprints.soton.ac.uk/id/eprint/491079
ISSN: 2191-5644
PURE UUID: b2dbaa8f-8cc9-4b81-8a2d-e130f544b715
Catalogue record
Date deposited: 11 Jun 2024 23:51
Last modified: 12 Jun 2024 02:11
Export record
Altmetrics
Contributors
Author:
T.L. Hill
Author:
S.A. Neild
Author:
A. Cammarano
Editor:
Gaetan Kerschen
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics