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Comparing the direct normal form and multiple scales methods through frequency detuning.
Elliott, A J; Cammarano, A; Neild, S A; Hill, T L; Wagg, D J.
Afiliação
  • Elliott AJ; 1School of Engineering, University of Glasgow, Glasgow, G12 8QQ UK.
  • Cammarano A; 1School of Engineering, University of Glasgow, Glasgow, G12 8QQ UK.
  • Neild SA; 2Department of Mechanical Engineering, University of Bristol, Bristol, BS8 1TR UK.
  • Hill TL; 2Department of Mechanical Engineering, University of Bristol, Bristol, BS8 1TR UK.
  • Wagg DJ; 3Department of Mechanical Engineering, University of Sheffield, Sheffield, S1 3JD UK.
Nonlinear Dyn ; 94(4): 2919-2935, 2018.
Article em En | MEDLINE | ID: mdl-30930539
ABSTRACT
Approximate analytical methods, such as the multiple scales (MS) and direct normal form (DNF) techniques, have been used extensively for investigating nonlinear mechanical structures, due to their ability to offer insight into the system dynamics. A comparison of their accuracy has not previously been undertaken, so is addressed in this paper. This is achieved by computing the backbone curves of two systems the single-degree-of-freedom Duffing oscillator and a non-symmetric, two-degree-of-freedom oscillator. The DNF method includes an inherent detuning, which can be physically interpreted as a series expansion about the natural frequencies of the underlying linear system and has previously been shown to increase its accuracy. In contrast, there is no such inbuilt detuning for MS, although one may be, and usually is, included. This paper investigates the use of the DNF detuning as the chosen detuning in the MS method as a way of equating the two techniques, demonstrating that the two can be made to give identical results up to ε 2 order. For the examples considered here, the resulting predictions are more accurate than those provided by the standard MS technique. Wolfram Mathematica scripts implementing these methods have been provided to be used in conjunction with this paper to illustrate their practicality.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nonlinear Dyn Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nonlinear Dyn Ano de publicação: 2018 Tipo de documento: Article