Continuous particle swarm optimization for model updating of structures from experimental modal analysis

Continuous particle swarm optimization for model updating of structures from experimental modal analysis

Francesco LO IACONO, Giacomo NAVARRA, Calogero ORLANDO, Angela RICCIARDELLO

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Abstract. The aim of this work is to present a structural model updating procedure based on a recent variant of Particle Swarm Optimization, called Continuous Particle Swarm Optimization. In order to validate the proposed model, the modal parameters of a real scale large electrical device have been identified by measuring the dynamical response of the system subjected to a measured input. Numerical results confirm the robustness and reliability of the proposed method.

Keywords
Model Updating, Particle Swarm Optimization, Experimental Modal Analysis

Published online 3/17/2022, 6 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Francesco LO IACONO, Giacomo NAVARRA, Calogero ORLANDO, Angela RICCIARDELLO, Continuous particle swarm optimization for model updating of structures from experimental modal analysis, Materials Research Proceedings, Vol. 26, pp 467-472, 2023

DOI: https://doi.org/10.21741/9781644902431-76

The article was published as article 76 of the book Theoretical and Applied Mechanics

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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