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Identifying the significance of nonlinear normal modes
Nonlinear normal modes (NNMs) are widely used as a tool for understanding the forced responses of nonlinear systems. However, the contemporary definition of an NNM also encompasses a large number of dynamic behaviours which are not observed when a system is forced and damped. As such, only a few NNM...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378240/ https://www.ncbi.nlm.nih.gov/pubmed/28413342 http://dx.doi.org/10.1098/rspa.2016.0789 |
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author | Hill, T. L. Cammarano, A. Neild, S. A. Barton, D. A. W. |
author_facet | Hill, T. L. Cammarano, A. Neild, S. A. Barton, D. A. W. |
author_sort | Hill, T. L. |
collection | PubMed |
description | Nonlinear normal modes (NNMs) are widely used as a tool for understanding the forced responses of nonlinear systems. However, the contemporary definition of an NNM also encompasses a large number of dynamic behaviours which are not observed when a system is forced and damped. As such, only a few NNMs are required to understand the forced dynamics. This paper firstly demonstrates the complexity that may arise from the NNMs of a simple nonlinear system—highlighting the need for a method for identifying the significance of NNMs. An analytical investigation is used, alongside energy arguments, to develop an understanding of the mechanisms that relate the NNMs to the forced responses. This provides insight into which NNMs are pertinent to understanding the forced dynamics, and which may be disregarded. The NNMs are compared with simulated forced responses to verify these findings. |
format | Online Article Text |
id | pubmed-5378240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-53782402017-04-14 Identifying the significance of nonlinear normal modes Hill, T. L. Cammarano, A. Neild, S. A. Barton, D. A. W. Proc Math Phys Eng Sci Research Articles Nonlinear normal modes (NNMs) are widely used as a tool for understanding the forced responses of nonlinear systems. However, the contemporary definition of an NNM also encompasses a large number of dynamic behaviours which are not observed when a system is forced and damped. As such, only a few NNMs are required to understand the forced dynamics. This paper firstly demonstrates the complexity that may arise from the NNMs of a simple nonlinear system—highlighting the need for a method for identifying the significance of NNMs. An analytical investigation is used, alongside energy arguments, to develop an understanding of the mechanisms that relate the NNMs to the forced responses. This provides insight into which NNMs are pertinent to understanding the forced dynamics, and which may be disregarded. The NNMs are compared with simulated forced responses to verify these findings. The Royal Society Publishing 2017-03 /pmc/articles/PMC5378240/ /pubmed/28413342 http://dx.doi.org/10.1098/rspa.2016.0789 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Research Articles Hill, T. L. Cammarano, A. Neild, S. A. Barton, D. A. W. Identifying the significance of nonlinear normal modes |
title | Identifying the significance of nonlinear normal modes |
title_full | Identifying the significance of nonlinear normal modes |
title_fullStr | Identifying the significance of nonlinear normal modes |
title_full_unstemmed | Identifying the significance of nonlinear normal modes |
title_short | Identifying the significance of nonlinear normal modes |
title_sort | identifying the significance of nonlinear normal modes |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378240/ https://www.ncbi.nlm.nih.gov/pubmed/28413342 http://dx.doi.org/10.1098/rspa.2016.0789 |
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