Statistical control methods applied to structural health monitoring (SHM). The experience of infiernillo 0 Bridge

David García, Oscar Ramón Ramos, Marcos J. Pantaleón

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In one of the inspections carried out on Infiernillo 0 Bridge at the kilometric point 251 + 500, Cuota Federal Road "Patzcuaro-Lazaro Cardenas" in the State of Michoacan, Mexico, a remarkable inclination of the center pile was detected. Such tilting occurred, according to the responsibles of the conservation of the structure, after a discharge of the Infiernillo reservoir, located upstream of the bridge, which caused an important rotation in the pile. Among the decisions taken to reverse the damage in the bridge, monitoring of the pile was adopted, while the necessary measures to restore the bridge to its original condition were adopted. In this case, statistical control methods were used in order to see if the rotation was stabilized (continuos under control) or if they continued to evolve. These methods are suitable in view of the limited influence of temperature variation on the pile due to the reduced height and the presence of water in foundations as a thermal regulator as explained as follow.

    Original languageEnglish
    Title of host publication8th European Workshop on Structural Health Monitoring, EWSHM 2016
    PublisherNDT.net
    Pages2043-2051
    Number of pages9
    ISBN (Electronic)9781510827936
    Publication statusPublished - 2016
    Event8th European Workshop on Structural Health Monitoring, EWSHM 2016 - Bilbao, Spain
    Duration: 5 Jul 20168 Jul 2016

    Publication series

    Name8th European Workshop on Structural Health Monitoring, EWSHM 2016
    Volume3

    Conference

    Conference8th European Workshop on Structural Health Monitoring, EWSHM 2016
    Country/TerritorySpain
    CityBilbao
    Period5/07/168/07/16

    Keywords

    • Bridge
    • Civil engineering
    • Experimental validation
    • Statistical control methods

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