Dervilis, N., Worden, K. orcid.org/0000-0002-1035-238X, Wagg, D.J. orcid.org/0000-0002-7266-2105 et al. (1 more author) (2016) Simplifying transformations for nonlinear systems: Part II, statistical analysis of harmonic cancellation. In: Kerschen, G., (ed.) Nonlinear Dynamics. 33rd IMAC, A Conference and Exposition on Structural Dynamics, February 2–5, 2015, Orlando, Florida. Conference Proceedings of the Society for Experimental Mechanics Series, 1 . Springer International Publishing , pp. 321-326. ISBN 9783319152202
Abstract
The first paper in this short sequence described the idea of a simplifying transformation and applied the concept to a numerical optimisation-based variant of normal form analysis. The idea of the numerical normal form transformation was simply to eliminate or reduce the contribution of a pre-defined set of harmonics in the system response. It was shown that reducing the defined harmonics could lead to amplification of other components of the response. The idea of the current paper is to conduct a Monte Carlo worst-case analysis to investigate how badly unconstrained harmonics might be amplified by the optimisation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © The Society for Experimental Mechanics, Inc. 2016. This is an author produced version of a paper subsequently published in Nonlinear Dynamics, Volume 1. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 May 2016 14:22 |
Last Modified: | 03 Jan 2017 13:34 |
Published Version: | http://dx.doi.org/10.1007/978-3-319-15221-9_29 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Conference Proceedings of the Society for Experimental Mechanics Series |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-15221-9_29 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100122 |