Abstract

Passive strategies based on the introduction of energy dissipating devices into the structures have received considerable attention in recent years. Within this framework, as re-liable and cheap energy-dissipation devices, viscous fluid dampers have been largely used in seismic protection of industrial machines, technical equipments, buildings and bridges. Since the versatility of this passive protection system satisfactorily meets a wide range of require-ments, a reliable identification of their nonlinear mechanical behavior is of outstanding im-portance. This paper focuses on the parametric identification of fractional derivative based models for nonlinear viscous dampers by means of non-classical methods, which are uncon-ventional algorithms whose inner work is based on socially, physically and/or biologically inspired paradigms. Non-classical strategies are potentially powerful tools for solving com-plex identification problems because of their start-point independence, noise robustness and the capability in looking for the best solution in a global way. In contrast, it is important to highlight that they typically possess weak forms of convergence. For better assessing the cor-rectness of some non-classical methods in parametric identification of viscous dampers, we perform a large comparative analysis which involve the following soft computing based tech-niques: a multi-species genetic algorithm, six standard differential evolution algorithms and four swarm intelligence based algorithms (including a chaotic particle swarm optimization algorithm). A numerical study is initially conducted in order to investigate the general relia-bility of these methods. Moreover, the paper also provides some results about the parametric identification of nonlinear viscous dampers by using experimental data. A critical review of the obtained evidences is given in order to provide useful guidelines for similar engineering applications.

Autore Pugliese

• Greco Rita , Marano Giuseppe Carlo , Trentadue Francesco

Tutti gli autori

• AVAKIAN J , MARANO G , MONTI G , QUARANTA G , TRENTADUE F

Titolo volume/Rivista

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Anno di pubblicazione

2011

ISSN

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ISBN

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Numero di citazioni Wos

Nessuna citazione

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Settori ERC

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Codici ASJC

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