000013423 001__ 13423
000013423 005__ 20161114164234.0
000013423 04107 $$aeng
000013423 046__ $$k2011-05-25
000013423 100__ $$aAvakian, J.
000013423 24500 $$aNumerical and Experimental Assessment of Various Non-Classical Methods for Parametric Identification of Nonlinear Viscous Dampers

000013423 24630 $$n3.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013423 260__ $$bNational Technical University of Athens, 2011
000013423 506__ $$arestricted
000013423 520__ $$2eng$$aPassive strategies based on the introduction of energy dissipating devices into the structures have received considerable attention in recent years. Within this framework, as reliable 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 requirements, a reliable identification of their nonlinear mechanical behavior is of outstanding importance. This paper focuses on the parametric identification of fractional derivative based models for nonlinear viscous dampers by means of non-classical methods, which are unconventional algorithms whose inner work is based on socially, physically and/or biologically inspired paradigms. Non-classical strategies are potentially powerful tools for solving complex 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 correctness of some non-classical methods in parametric identification of viscous dampers, we perform a large comparative analysis which involve the following soft computing based techniques: 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 reliability 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.

000013423 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013423 653__ $$aDifferential Evolution, Genetic Algorithm, Parametric Identification, Particle Swarm Optimization, Viscous Damper.

000013423 7112_ $$aCOMPDYN 2011 - 3rd International Thematic Conference$$cIsland of Corfu (GR)$$d2011-05-25 / 2011-05-28$$gCOMPDYN2011
000013423 720__ $$aAvakian, J.$$iMarano G., C.$$iMonti, G.$$iQuaranta, G.$$iTrentadue, F.
000013423 8560_ $$ffischerc@itam.cas.cz
000013423 8564_ $$s1256729$$uhttps://invenio.itam.cas.cz/record/13423/files/086.pdf$$yOriginal version of the author's contribution as presented on CD, section: MS 17 Optimization Methods and Applications in Structural Dynamics and Earthquake Engineering.
000013423 962__ $$r13401
000013423 980__ $$aPAPER