Particle Swarm Optimization–Based Finite-Element Analyses and Designs of Shear Connector Distributions for Partial-Interaction Composite Beams

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.

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Particle swarm optimization and finite-element based approach for microwave filter design

IEEE Transactions on Magnetics ◽

10.1109/tmag.2005.846467 ◽

2005 ◽

Vol 41 (5) ◽

pp. 1800-1803 ◽

Cited By ~ 42

Author(s):

Wen Wang ◽

Yilong Lu ◽

J.S. Fu ◽

Yong Zhong Xiong

Keyword(s):

Finite Element ◽

Particle Swarm Optimization ◽

Filter Design ◽

Particle Swarm ◽

Microwave Filter ◽

Swarm Optimization

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Finite Element Model Updating Approach to Damage Identification in Beams Using Particle Swarm Optimization

Volume 1: 34th Design Automation Conference, Parts A and B ◽

10.1115/detc2008-49727 ◽

2008 ◽

Author(s):

Mohamed M. Saada ◽

Mustafa H. Arafa ◽

Ashraf O. Nassef

Keyword(s):

Finite Element ◽

Particle Swarm Optimization ◽

Finite Element Model ◽

Natural Frequencies ◽

Damage Identification ◽

Model Updating ◽

Particle Swarm ◽

Element Model ◽

Pso Algorithm ◽

Swarm Optimization

The use of vibration-based techniques in damage identification has recently received considerable attention in many engineering disciplines. While various damage indicators have been proposed in the literature, those relying only on changes in the natural frequencies are quite appealing since these quantities can conveniently be acquired. Nevertheless, the use of natural frequencies in damage identification is faced with many obstacles, including insensitivity and non-uniqueness issues. The aim of this paper is to develop a viable damage identification scheme based only on changes in the natural frequencies and to attempt to overcome the challenges typically encountered. The proposed methodology relies on building a Finite Element Model (FEM) of the structure under investigation. A modified Particle Swarm Optimization (PSO) algorithm is proposed to facilitate updating the FEM in accordance with experimentally-determined natural frequencies in order to predict the damage location and extent. The method is tested on beam structures and was shown to be an effective tool for damage identification.

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