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Abstract: This paper proposes the use of particle swarm optimization method (PSO) forfinite element (FE) model updating. The PSO method is compared to the existingmethods that use simulated annealing (SA) or genetic algorithms (GA) for FEmodel for model updating. The proposed method is tested on an unsymmetricalH-shaped structure. It is observed that the proposed method gives updatednatural frequencies the most accurate and followed by those given by an updatedmodel that was obtained using the GA and a full FE model. It is also observedthat the proposed method gives updated mode shapes that are best correlated tothe measured ones, followed by those given by an updated model that wasobtained using the SA and a full FE model. Furthermore, it is observed that thePSO achieves this accuracy at a computational speed that is faster than that bythe GA and a full FE model which is faster than the SA and a full FE model.



Author: Tshilidzi Marwala

Source: https://arxiv.org/







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