IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v160y2014i3d10.1007_s10957-013-0316-6.html
   My bibliography  Save this article

Structural Damage Identification Using an Adaptive Multi-stage Optimization Method Based on a Modified Particle Swarm Algorithm

Author

Listed:
  • M. R. Nouri Shirazi

    (Islamic Azad University, Chaloos Branch)

  • H. Mollamahmoudi

    (Shomal University)

  • S. M. Seyedpoor

    (Shomal University)

Abstract

An adaptive multi-stage optimization method utilizing a modified particle swarm optimization (MPSO) is proposed here to identify the multiple damage cases of structural systems. First the structural damage problem is defined as a standard optimization problem. An efficient objective function considering the first few natural frequencies of a structure, before and after damage, is utilized for optimization. A modified particle swarm optimization (MPSO) dealing with real values of damage variables is introduced to solve the optimization problem. In order to assess the performance of the proposed method, some illustrative examples with and without considering the measurement noise are tested. Numerical results demonstrate the high accuracy of the method proposed for determining the site and severity of multiple damage cases in the structural systems.

Suggested Citation

  • M. R. Nouri Shirazi & H. Mollamahmoudi & S. M. Seyedpoor, 2014. "Structural Damage Identification Using an Adaptive Multi-stage Optimization Method Based on a Modified Particle Swarm Algorithm," Journal of Optimization Theory and Applications, Springer, vol. 160(3), pages 1009-1019, March.
    • Handle: RePEc:spr:joptap:v:160:y:2014:i:3:d:10.1007_s10957-013-0316-6
    DOI: 10.1007/s10957-013-0316-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-013-0316-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10957-013-0316-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:joptap:v:160:y:2014:i:3:d:10.1007_s10957-013-0316-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.