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Dynamical Modeling and Parameter Identification of Seismic Isolation Systems by Evolution Strategies

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Computational Intelligence (IJCCI 2011)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 465))

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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.

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Author information

Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Catania, Catania, Italy

    Anastasia Athanasiou & Giuseppe Oliveto

  2. Energy and Environment Modeling Technical Unit, ENEA, Rome, Italy

    Matteo De Felice

  3. School of Computer Science, The University of Birmingham, Birmingham, U.K.

    Pietro S. Oliveto

Authors
  1. Anastasia Athanasiou
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  2. Matteo De Felice
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  3. Giuseppe Oliveto
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  4. Pietro S. Oliveto
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Corresponding author

Correspondence to Anastasia Athanasiou .

Editor information

Editors and Affiliations

  1. , Images, Signals and, University PARIS-EST Creteil (UPEC), Paris 12, 3956, France

    Kurosh Madani

  2. , Departamento de Engenharia Informatica, University of Coimbra, Polo II - Pinhal de Marrocos, Coimbra, 3030, Portugal

    António Dourado

  3. Systems and Robotics Institute, Evolutionary Systems and, Instituto Superior Tecnico IST, Av. Rovisco Pais, Lisboa, 1049-001, Portugal

    Agostinho Rosa

  4. INSTICC, Polytechnic Institute of Setúbal /, Setubal, 2910-595, Portugal

    Joaquim Filipe

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Athanasiou, A., De Felice, M., Oliveto, G., Oliveto, P.S. (2013). Dynamical Modeling and Parameter Identification of Seismic Isolation Systems by Evolution Strategies. In: Madani, K., Dourado, A., Rosa, A., Filipe, J. (eds) Computational Intelligence. IJCCI 2011. Studies in Computational Intelligence, vol 465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35638-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-35638-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35637-7

  • Online ISBN: 978-3-642-35638-4

  • eBook Packages: EngineeringEngineering (R0)

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