IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/679026.html
   My bibliography  Save this article

A New Spectral Shape-Based Record Selection Approach Using and Genetic Algorithms

Author

Listed:
  • Edén Bojórquez
  • Alfredo Reyes-Salazar
  • Sonia E. Ruiz
  • Juan Bojórquez

Abstract

With the aim to improve code-based real records selection criteria, an approach inspired in a parameter proxy of spectral shape, named , is analyzed. The procedure is based on several objectives aimed to minimize the record-to-record variability of the ground motions selected for seismic structural assessment. In order to select the best ground motion set of records to be used as an input for nonlinear dynamic analysis, an optimization approach is applied using genetic algorithms focuse on finding the set of records more compatible with a target spectrum and target values. The results of the new -based approach suggest that the real accelerograms obtained with this procedure, reduce the scatter of the response spectra as compared with the traditional approach; furthermore, the mean spectrum of the set of records is very similar to the target seismic design spectrum in the range of interest periods, and at the same time, similar values are obtained for the selected records and the target spectrum.

Suggested Citation

  • Edén Bojórquez & Alfredo Reyes-Salazar & Sonia E. Ruiz & Juan Bojórquez, 2013. "A New Spectral Shape-Based Record Selection Approach Using and Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, February.
    • Handle: RePEc:hin:jnlmpe:679026
    DOI: 10.1155/2013/679026
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2013/679026.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2013/679026.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/679026?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:679026. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.