Finite Element Model Updating Using Particle Swarm Optimisation


Tshilidzi Marwala 
School of Electrical and Information Engineering
University of the Witwatersrand
P/Bag 3, Wits, 2050, South Africa 




This paper proposes particle swarm optimisation (PSO) method for finite element (FE) model updating. This proposed method is compared to the existing FE model updating approaches, which use simulated annealing (SA) and genetic algorithms (GA). The proposed methods are tested on a simple beam and an unsymmetrical H-shaped structure. It is observed that on average the PSO method gave the most accurate results followed by SA and then GA..

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