Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (12): 1732-1738.DOI: 10.12068/j.issn.1005-3026.2019.12.012

• Mechanical Engineering • Previous Articles     Next Articles

Optimization Method of Nonlinear Energy Sinks with Piecewise Linear Stiffness

YAO Hong-liang, ZHANG Qin, YANG Pei-ran, WEN Bang-chun   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Received:2019-01-24 Revised:2019-01-24 Online:2019-12-15 Published:2019-12-12
  • Contact: YAO Hong-liang
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Abstract: Based on the nonlinear energy sink (NES) model with piecewise linear stiffness previously proposed by the authors, the optimization problem of the NESs is studied by means of genetic algorithm (GA). Firstly, the NES with piecewise linear stiffness is introduced, and its nonlinear characteristic is analyzed. Then, the spatial dimension of optimum design is reduced by adopting the endpoint connection fitting for cubic polynomial, and the optimization method is presented with mixed binary and real coding. Finally, the optimization of the NESs in multi-degree freedom system is carried out by taking the frame-shear structure-NESs system as an example, and its effectiveness is verified by experiments. The results show that the optimized NESs can effectively suppress vibration at a wider excitation frequency and meanwhile obtain a better multi-modal vibration suppression effect.

Key words: piecewise linear stiffness, nonlinear energy sink (NES), parameter optimization, genetic algorithm(GA), endpoint connection fitting

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