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Dynamical modeling and parameter identification of seismic isolation systems by evolution strategies

TitleDynamical modeling and parameter identification of seismic isolation systems by evolution strategies
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2013
AuthorsAthanasiou, A., De Felice Matteo, Oliveto G., Oliveto P.S., K. Madani, Dourado A, Rosa A, and J. Filipe
JournalStudies in Computational Intelligence
Volume465
Pagination101-118
ISBN Number9783642356377
ISSN1860949X
Abstract

An application of Evolution Strategies (ESs) to the dynamic identification of hybrid seismic isolation systems is presented. It is shown how ESs are highly effective for the optimisation of the test problem defined in previous work for methodology validation. The acceleration records of a number of dynamic tests performed on a seismically isolated building are used as reference data for the parameter identification. The application of CMA-ES to a previously existing model considerably improves previous results but at the same time reveals limitations of the model. To investigate the problem three new mechanical models with higher number of parameters are developed. The application of CMA-ES to the best designed model allows improvements of up to 79% compared to the solutions previously available in literature. © Springer-Verlag Berlin Heidelberg 2013.

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84882384486&doi=10.1007%2f978-3-642-35638-4-8&partnerID=40&md5=14415223b9d7a66e04a4905d60dad133
DOI10.1007/978-3-642-35638-4-8
Citation KeyAthanasiou2013101