IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-25707-0_15.html
   My bibliography  Save this book chapter

Reduced-Order Wave-Propagation Modeling Using the Eigensystem Realization Algorithm

In: Modeling, Simulation and Optimization of Complex Processes

Author

Listed:
  • Stephen A. Ketcham

    (Engineer Research and Development Center)

  • Minh Q. Phan

    (Dartmouth College, Thayer School of Engineering)

  • Harley H. Cudney

    (Engineer Research and Development Center)

Abstract

This paper presents a computationally efficient version of the Eigensystem Realization Algorithm (ERA) to model the dynamics of large-domain acoustic propagation from High Performance Computing (HPC) data. This adaptation of the ERA permits hundreds of thousands of output signals to be handled at a time. Once the ERA-derived reduced-order models are obtained, they can be used for future simulation of the propagation accurately without having to go back to the HPC model. Computations that take hours on a massively parallel high performance computer can now be carried out in minutes on a laptop computer.

Suggested Citation

  • Stephen A. Ketcham & Minh Q. Phan & Harley H. Cudney, 2012. "Reduced-Order Wave-Propagation Modeling Using the Eigensystem Realization Algorithm," Springer Books, in: Hans Georg Bock & Xuan Phu Hoang & Rolf Rannacher & Johannes P. Schlöder (ed.), Modeling, Simulation and Optimization of Complex Processes, edition 127, pages 183-193, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-25707-0_15
    DOI: 10.1007/978-3-642-25707-0_15
    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:978-3-642-25707-0_15. 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.