Paper Title:
Particle Swarm Optimization Based Dimension Synthesis of the Experimental Mechanism for Elastic Bungee Jumping Ropes
  Abstract

In order to provide an experimental machine for elastic bungee jumping ropes, a prototype of experimental mechanism was designed, and its principles were analyzed. A dimension synthesis method of the experimental mechanism based on the particle swarm optimization (PSO) was brought forward. The aim of optimization was to find the optimized parameters of the mechanism by which the elastic bungee jumping ropes were pulled at the minimum swing angle. An optimization program of the PSO algorithm in the Matlab environment was developed and the optimal calculation was done. The result proved the validity of the algorithm. The calculation result showed that the optimal algorithm made the elastic bungee jumping ropes pulled at the minimum swing angle of only 8.783 degree, which was better than that of the handwork drawing method used by an engineer, so the parameters got by the PSO method can

  Info
Periodical
Chapter
Dynamics, Vibration and Time-Dependent Deformation
Edited by
Aimin Yang, Jingguo Qu and Xilong Qu
Pages
214-218
DOI
10.4028/www.scientific.net/AMM.84-85.214
Citation
F. X. Zhang, W. Z. Li, "Particle Swarm Optimization Based Dimension Synthesis of the Experimental Mechanism for Elastic Bungee Jumping Ropes", Applied Mechanics and Materials, Vols. 84-85, pp. 214-218, 2011
Online since
August 2011
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Price
$32.00
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