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 devise have been identified by measuring the dynamical response of the system subjected by a measured input. Numerical results confirm the robustness and reliability of the proposed method.

Continuous Particle Swarm Optimization for Model Updating of Structures from Experimental Modal Analysis

LO IACONO Francesco
;
NAVARRA Giacomo;ORLANDO Calogero;RICCIARDELLO Angela
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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 devise have been identified by measuring the dynamical response of the system subjected by a measured input. Numerical results confirm the robustness and reliability of the proposed method.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/153024
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