IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v66y2013i2p985-993.html
   My bibliography  Save this article

Interactive remote computations for retaining wall design and risk assessment

Author

Listed:
  • Yih-Ping Huang
  • Jeng-Wen Lin

Abstract

Remote computation as well as remote design is a hot topic nowadays and becoming popular and also more diversified in use in the recent years. This study applies the retaining wall design as an example to construct a mechanism for complicated computation in civil engineering directly in a network server for risk assessment, so that a user can easily carry out the computation analysis with any available device via internet by using a personal computer or mobile device. To develop a convenient as well as time-saving operating environment for the remote analysis, an effective interactive interface is also developed. In the retaining wall design, this study provides users with the Rankine method, Coulomb method, and theory of plasticity to perform the objective analysis. The automatic checking system of the program will validate the computation results, under this circumstance, users need not worry about whether their input data and calculated results are consistent with practical standards and regulations or not. Various factors of safety, for risk assessment, resulting from the three kinds of computational methods are compared to verify whether there is any significant difference among them while designing a safe retaining wall overall. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Yih-Ping Huang & Jeng-Wen Lin, 2013. "Interactive remote computations for retaining wall design and risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 985-993, March.
  • Handle: RePEc:spr:nathaz:v:66:y:2013:i:2:p:985-993
    DOI: 10.1007/s11069-012-0519-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0519-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-012-0519-4?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.

    References listed on IDEAS

    as
    1. Jeng-Wen Lin, 2012. "Fuzzy regression decision systems for assessment of the potential vulnerability of bridge to earthquakes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 211-221, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kuan-Tang Shen & Jeng-Wen Lin, 2017. "Delphi process applied to the 921 earthquake relief for damaged bridges in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 345-365, May.

    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:nathaz:v:66:y:2013:i:2:p:985-993. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.