Basin stability approach for quantifying responses of multistable systems with parameters mismatch

P. Brzeski, M. Lazarek, T. Kapitaniak, J. Kurths, P. Perlikowski

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Abstract

In this paper we propose a new method to detect and classify coexisting solutions in nonlinear systems. We focus on mechanical and structural systems where we usually avoid multistability for safety and reliability. We want to be sure that in the given range of parameters and initial conditions the expected solution is the only possible or at least has dominant basin of attraction. We propose an algorithm to estimate the probability of reaching the solution in given (accessible) ranges of initial conditions and parameters. We use a modified method of basin stability (Menck et. al., Nature Physics, 9(2) 2013). In our investigation we examine three different systems: a Duffing oscillator with a tuned mass absorber, a bilinear impacting oscillator and a beam with attached rotating pendula. We present the results that prove the usefulness of the proposed algorithm and highlight its strengths in comparison with classical analysis of nonlinear systems (analytical solutions, path-following, basin of attraction ect.). We show that with relatively small computational effort (comparing to classical analysis) we can predict the behaviour of the system and select the ranges in parameter's space where the system behaves in a presumed way. The method can be used in all types of nonlinear complex systems.
Original languageEnglish
Pages (from-to)2713-2726
Number of pages14
JournalMeccanica
Volume51
Issue number11
Early online date10 Feb 2016
DOIs
Publication statusPublished - Nov 2016

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nonlinear systems
attraction
Nonlinear systems
oscillators
complex systems
Large scale systems
safety
absorbers
Physics
physics
estimates

Keywords

  • Basin stability
  • Multistable systems
  • Identification of solutions

Cite this

Brzeski, P., Lazarek, M., Kapitaniak, T., Kurths, J., & Perlikowski, P. (2016). Basin stability approach for quantifying responses of multistable systems with parameters mismatch. Meccanica, 51(11), 2713-2726. https://doi.org/10.1007/s11012-016-0534-8

Basin stability approach for quantifying responses of multistable systems with parameters mismatch. / Brzeski, P.; Lazarek, M.; Kapitaniak, T.; Kurths, J.; Perlikowski, P.

In: Meccanica, Vol. 51, No. 11, 11.2016, p. 2713-2726.

Research output: Contribution to journalArticle

Brzeski, P, Lazarek, M, Kapitaniak, T, Kurths, J & Perlikowski, P 2016, 'Basin stability approach for quantifying responses of multistable systems with parameters mismatch', Meccanica, vol. 51, no. 11, pp. 2713-2726. https://doi.org/10.1007/s11012-016-0534-8
Brzeski, P. ; Lazarek, M. ; Kapitaniak, T. ; Kurths, J. ; Perlikowski, P. / Basin stability approach for quantifying responses of multistable systems with parameters mismatch. In: Meccanica. 2016 ; Vol. 51, No. 11. pp. 2713-2726.
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abstract = "In this paper we propose a new method to detect and classify coexisting solutions in nonlinear systems. We focus on mechanical and structural systems where we usually avoid multistability for safety and reliability. We want to be sure that in the given range of parameters and initial conditions the expected solution is the only possible or at least has dominant basin of attraction. We propose an algorithm to estimate the probability of reaching the solution in given (accessible) ranges of initial conditions and parameters. We use a modified method of basin stability (Menck et. al., Nature Physics, 9(2) 2013). In our investigation we examine three different systems: a Duffing oscillator with a tuned mass absorber, a bilinear impacting oscillator and a beam with attached rotating pendula. We present the results that prove the usefulness of the proposed algorithm and highlight its strengths in comparison with classical analysis of nonlinear systems (analytical solutions, path-following, basin of attraction ect.). We show that with relatively small computational effort (comparing to classical analysis) we can predict the behaviour of the system and select the ranges in parameter's space where the system behaves in a presumed way. The method can be used in all types of nonlinear complex systems.",
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