scholarly journals Structural Optimization Design of Horizontal-Axis Wind Turbine Blades Using a Particle Swarm Optimization Algorithm and Finite Element Method

Energies ◽  
2012 ◽  
Vol 5 (11) ◽  
pp. 4683-4696 ◽  
Author(s):  
Xin Cai ◽  
Jie Zhu ◽  
Pan Pan ◽  
Rongrong Gu
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Optimization Design ◽  
Particle Swarm Optimization Algorithm ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Horizontal Axis Wind Turbine ◽  
Swarm Optimization

scholarly journals Particle Swarm Optimization Algorithm Coupled with Finite Element Limit Equilibrium Method for Geotechnical Practices

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Hongjun Li ◽  
Hong Zhong ◽  
Zuwen Yan ◽  
Xuedong Zhang
Keyword(s):  
Finite Element ◽  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Factor Of Safety ◽  
Particle Swarm Optimization Algorithm ◽  
Limit Equilibrium ◽  
Particle Swarm ◽  
Limit Equilibrium Method ◽  
Swarm Optimization ◽  
Equilibrium Method

This paper proposes a modified particle swarm optimization algorithm coupled with the finite element limit equilibrium method (FELEM) for the minimum factor of safety and the location of associated noncircular critical failure surfaces for various geotechnical practices. During the search process, the stress compatibility constraints coupled with the geometrical and kinematical compatibility constraints are firstly established based on the features of slope geometry and stress distribution to guarantee realistic slip surfaces from being unreasonable. Furthermore, in the FELEM, based on rigorous theoretical analyses and derivation, it is noted that the physical meaning of the factor of safety can be formulated on the basis of strength reserving theory rather than the overloading theory. Consequently, compared with the limit equilibrium method (LEM) and the shear strength reduction method (SSRM) through several numerical examples, the FELEM in conjunction with the improved search strategy is proved to be an effective and efficient approach to routine analysis and design in geotechnical practices with a high level of confidence.

Optimization Design of Gear Train Based on Particle Swarm Optimization Algorithm

2013 ◽  
Vol 373-375 ◽  
pp. 1072-1075 ◽  
Author(s):  
Chang Wei Wu ◽  
Yong Hai Wu ◽  
Cong Bin Ma ◽  
Cheng Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Optimization Design ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Function Optimization ◽  
Gear Train ◽  
Multidimensional Space ◽  
Swarm Optimization ◽  
Tooth Width

Particle swarm optimization algorithms have lots of advantages such as fast convergence speed, good quality of solution and robustness in multidimensional space function optimization and dynamic target optimization. It is suitable for structural optimization design. In this paper, manual transmission gear train of a tractor is taken as research object, the minimum quality and minimum center distance of the gear train is taken as optimization goal, the gear ratio, modulus, helix angle, tooth width and equilibrium conditions of the axial force are taken as the constraints, a multi-objective optimization model of the gear train is established. The optimal structure design programs and Pareto optimal solution are obtained by using particle swarm optimization algorithm.

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