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Identifying the significance of nonlinear normal modes
Author(s) -
Thomas Hill,
Andrea Cammarano,
Simon A. Neild,
David A. W. Barton
Publication year - 2017
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2016.0789
Subject(s) - nonlinear system , normal mode , two alternative forced choice , mode (computer interface) , computer science , mathematics , control theory (sociology) , vibration , physics , acoustics , artificial intelligence , statistics , quantum mechanics , operating system , control (management)
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.

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