Model Updating of Structures from Shaking Table Tests by Using Continuous Particle Swarm Optimization

The use of vibration-based experimental tests usually reveals the discrepancy between the design of an artefact and its actual construction. For this reason, several numerical techniques have been developed to update the analytical model. 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.