Articles | Volume 13, issue 1
https://doi.org/10.5194/ms-13-505-2022
https://doi.org/10.5194/ms-13-505-2022
Research article
 | 
13 Jun 2022
Research article |  | 13 Jun 2022

Adaptive multiswarm particle swarm optimization for tuning the parameter optimization of a three-element dynamic vibration absorber

Qing Hui Song, Lin Jing Xiao, Qing Jun Song, Hai Yan Jiang, and Xiu Jie Liu

Viewed

Total article views: 793 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
615 149 29 793 25 20
  • HTML: 615
  • PDF: 149
  • XML: 29
  • Total: 793
  • BibTeX: 25
  • EndNote: 20
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads (calculated since 13 Jun 2022)

Viewed (geographical distribution)

Total article views: 751 (including HTML, PDF, and XML) Thereof 751 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
An analytical solution for designing the optimal parameters of dynamic vibration absorbers attached to the damped main system is found to be difficult and complicated. In this paper, the adaptive multiswarm particle swarm optimization is applied to parameter optimization, and the numerical solutions of the system are given for the damped main system under sinusoidal force excitation.