• DocumentCode
    2045455
  • Title

    Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks

  • Author

    Kim, Sukun ; Pakzad, Shamim ; Culler, David ; Demmel, James ; Fenves, Gregory ; Glaser, Steven ; Turon, Martin

  • Author_Institution
    Univ. of California at Berkeley, Berkeley
  • fYear
    2007
  • fDate
    25-27 April 2007
  • Firstpage
    254
  • Lastpage
    263
  • Abstract
    A Wireless Sensor Network (WSN) for Structural Health Monitoring (SHM) is designed, implemented, deployed and tested on the 4200 ft long main span and the south tower of the Golden Gate Bridge (GGB). Ambient structural vibrations are reliably measured at a low cost and without interfering with the operation of the bridge. Requirements that SHM imposes on WSN are identified and new solutions to meet these requirements are proposed and implemented. In the GGB deployment, 64 nodes are distributed over the main span and the tower, collecting ambient vibrations synchronously at 1 kHz rate, with less than 10 mus jitter, and with an accuracy of 30 muG. The sampled data is collected reliably over a 46-hop network, with a bandwidth of 441 B/s at the 46th hop. The collected data agrees with theoretical models and previous studies of the bridge. The deployment is the largest WSN for SHM.
  • Keywords
    bridges (structures); condition monitoring; structural engineering; vibration measurement; vibrations; wireless sensor networks; Golden Gate Bridge; civil infrastructures; health monitoring; hop network; south tower; structural vibrations; wireless sensor networks; Bridges; Computerized monitoring; Costs; Design engineering; Poles and towers; Testing; Vibration measurement; Wireless sensor networks; X-ray detection; X-ray detectors; Deployment; Design; Experimentation; Large-Scale; Reliability; Structural Health Monitoring; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-59593-638-7
  • Type

    conf

  • DOI
    10.1109/IPSN.2007.4379685
  • Filename
    4379685