IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i8p359549.html
   My bibliography  Save this article

Real-Time Monitoring and Early Warning Method Utilizing FBG Sensors in the Retrofitting Process of Structures

Author

Listed:
  • Shuli Fan
  • Liang Ren
  • Hongnan Li
  • Biao Song

Abstract

Associated with a project, the application of real-time monitoring and early warning system in the retrofitting process of structures was investigated. Based on the software ANSYS, structural analysis and thermal analysis were carried out to determine the distribution of sensors and the early warning threshold value in monitoring process. SHM system was developed for damage sensing in real-time using FBG sensors. Eight FBG sensor clusters consisting of a strain sensor and a temperature sensor were welded on the steel beam surface. Using these FBG sensors, the real-time strains in key positions during the cutting process of steel beam were measured. The monitoring data provided the early warnings and effective reference for analyzing the stability of steel beam in real-time.

Suggested Citation

  • Shuli Fan & Liang Ren & Hongnan Li & Biao Song, 2015. "Real-Time Monitoring and Early Warning Method Utilizing FBG Sensors in the Retrofitting Process of Structures," International Journal of Distributed Sensor Networks, , vol. 11(8), pages 359549-3595, August.
  • Handle: RePEc:sae:intdis:v:11:y:2015:i:8:p:359549
    DOI: 10.1155/2015/359549
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/359549
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2015/359549?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
    ---><---

    More about this item

    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:sae:intdis:v:11:y:2015:i:8:p:359549. 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: SAGE Publications (email available below). General contact details of provider: .

    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.