IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4471-3827-3_9.html

Application I: Model Reduction on System Level

In: Model Order Reduction Techniques

Author

Listed:
  • Zu-Qing Qu

    (University of Arkansas, Department of Civil Engineering)

Abstract

Various approaches for the dynamic condensation of large size of discrete models have been presented in preceding chapters. When a new method for dynamic condensation is proposed, natural frequencies and the corresponding mode shapes are generally utilized to check the accuracy of the new approach. If the differences of natural frequencies and mode shapes between the full model and the reduced model obtained from the new condensation method are less than the prescribed tolerance, the new development is considered to be successful. Using this comparison, it can be guaranteed that the dynamic characteristics of the reduced model are close to those of the full model within the frequency range of interest. Thus, the reduced model can represent the full model within that frequency range. For this reason, all the dynamic condensation methods may be implemented into the eigenvalue analysis of large-size models. This is the traditional and widely acknowledged application and has been well demonstrated in preceding chapters.

Suggested Citation

  • Zu-Qing Qu, 2004. "Application I: Model Reduction on System Level," Springer Books, in: Model Order Reduction Techniques, chapter 9, pages 217-253, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4471-3827-3_9
    DOI: 10.1007/978-1-4471-3827-3_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-1-4471-3827-3_9. 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.