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Parametric Optimization of BNES in Torsional Vibration Suppression of Rotor Systems

  • Jinxin Dou,
  • Rui Xue,
  • Hongliang Yao,
  • Hui Li,
  • Jianlei Li

摘要

This investigation presents an optimal design of a bi-stable nonlinear energy sink (BNES), which is used to suppress the torsional vibration of the rotor system. The specific structure and working principles of the BNES are introduced, and the dynamic equations of the rotor system equipped with the BNES are established. In steady-state responses, a single objective optimization strategy is established to minimize the angular displacement amplitude of the vibration response; In transient responses, the objective function is selected to maximize the energy dissipation rate of the BNES. The parameters are optimized by the genetic algorithm (GA). The results show that the BNES with optimal parameters has better vibration suppression performance on the transient responses and steady-state responses of the rotor system.