IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-15748-6_37.html
   My bibliography  Save this book chapter

Computer Simulation for Building Implosion Using LS-DYNA

In: High Performance Computing in Science and Engineering '10

Author

Listed:
  • Georgios Michaloudis

    (Institute of Mechanics)

  • Steffen Mattern

    (Institute of Mechanics)

  • Karl Schweizerhof

    (Institute of Mechanics)

Abstract

A complex simulation of the demolition of a high-rise building in Hagen is presented. This building because of its geometry (approx. 100m height) and of the applied blasting strategy (resulting in vertical collapse) was impossible to be computed with a simple fracture algorithm modelling the local failure mechanism. The problem of applying on this model algorithms which were tested and have proved to be successful in previous models is discussed and the more sophisticated algorithms are described. The collapse sequence of the simulation is validated with the video of the real demolition, proving a fairly adequate quality of the simulation results. The blasting of a storehouse in Thueringen is also simulated. In this case of a non vertical collapse scenario the initial collapse kinematics are well captured with the rather complex node split and the simple element erosion technique. Though the simple erosion technique is rather limited, its high efficiency may still make it a favourable choice, however, then the collapse process should be known in advance to some extend.

Suggested Citation

  • Georgios Michaloudis & Steffen Mattern & Karl Schweizerhof, 2011. "Computer Simulation for Building Implosion Using LS-DYNA," Springer Books, in: Wolfgang E. Nagel & Dietmar B. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '10, pages 519-528, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-15748-6_37
    DOI: 10.1007/978-3-642-15748-6_37
    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:978-3-642-15748-6_37. 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.