Optimization under uncertainty of parallel nonlinear energy sinks

Ethan Boroson, Samy Missoum, Pierre Olivier Mattei, Christophe Vergez

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Nonlinear Energy Sinks (NESs) are a promising technique for passively reducing the amplitude of vibrations. Through nonlinear stiffness properties, a NES is able to passively and irreversibly absorb energy. Unlike the traditional Tuned Mass Damper (TMD), NESs do not require a specific tuning and absorb energy over a wider range of frequencies. Nevertheless, they are still only efficient over a limited range of excitations. In order to mitigate this limitation and maximize the efficiency range, this work investigates the optimization of multiple NESs configured in parallel. It is well known that the efficiency of a NES is extremely sensitive to small perturbations in loading conditions or design parameters. In fact, the efficiency of a NES has been shown to be nearly discontinuous in the neighborhood of its activation threshold. For this reason, uncertainties must be taken into account in the design optimization of NESs. In addition, the discontinuities require a specific treatment during the optimization process. In this work, the objective of the optimization is to maximize the expected value of the efficiency of NESs in parallel. The optimization algorithm is able to tackle design variables with uncertainty (e.g., nonlinear stiffness coefficients) as well as aleatory variables such as the initial velocity of the main system. The optimal design of several parallel NES configurations for maximum mean efficiency is investigated. Specifically, NES nonlinear stiffness properties, considered random design variables, are optimized for cases with 1, 2, 3, 4, 5, and 10 NESs in parallel. The distributions of efficiency for the optimal parallel configurations are compared to distributions of efficiencies of non-optimized NESs. It is observed that the optimization enables a sharp increase in the mean value of efficiency while reducing the corresponding variance, thus leading to more robust NES designs.

Original languageEnglish (US)
Pages (from-to)451-464
Number of pages14
JournalJournal of Sound and Vibration
Volume394
DOIs
StatePublished - Apr 28 2017

Fingerprint

sinks
optimization
energy
Stiffness
stiffness
Uncertainty
Tuning
Chemical activation
dampers
design optimization
configurations
discontinuity

Keywords

  • Activation threshold
  • Optimization under uncertainty
  • Parallel nonlinear energy sinks

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Acoustics and Ultrasonics
  • Mechanical Engineering

Cite this

Optimization under uncertainty of parallel nonlinear energy sinks. / Boroson, Ethan; Missoum, Samy; Mattei, Pierre Olivier; Vergez, Christophe.

In: Journal of Sound and Vibration, Vol. 394, 28.04.2017, p. 451-464.

Research output: Contribution to journalArticle

Boroson, Ethan ; Missoum, Samy ; Mattei, Pierre Olivier ; Vergez, Christophe. / Optimization under uncertainty of parallel nonlinear energy sinks. In: Journal of Sound and Vibration. 2017 ; Vol. 394. pp. 451-464.
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