Elliott, A.J., Cammarano, A., Neild, S.A. et al. (2 more authors) (2019) Using frequency detuning to compare analytical approximations for forced responses. Nonlinear Dynamics, 98 (4). pp. 2795-2809. ISSN 0924-090X
Abstract
It is possible to use numerical techniques to provide solutions to nonlinear dynamical systems that can be considered exact up to numerical tolerances. However, often, this does not provide the user with sufficient information to fully understand the behaviour of these systems. To address this issue, it is common practice to find an approximate solution using an analytical method, which can be used to develop a more thorough appreciation of how the parameters of a system influence its response. This paper considers three such techniques—the harmonic balance, multiple scales, and direct normal form methods—in their ability to accurately capture the forced response of nonlinear structures. Using frequency detuning as a method of comparison, it is shown that it is possible for all three methods to give identical solutions, should particular conditions be used.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
Keywords: | Nonlinear; Vibration; Normal form; Multiple scales |
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) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council (EPSRC) EP/K003836/2 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Sep 2019 14:28 |
Last Modified: | 16 Dec 2021 09:11 |
Status: | Published |
Publisher: | Springer Nature |
Refereed: | Yes |
Identification Number: | 10.1007/s11071-019-05229-6 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:151031 |
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