Case studies for quantifying the value of structural health monitoring information: lessons learnt

Sebastian Thöns, Wouter Jan Klerk, Jochen Köhler

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    This paper provides an overview, insights, results and a classification related to development and analyses of case studies within the scientific networking project COST Action TU1402 on the value of Structural Health Monitoring (SHM) information. With an outline of the framework and approaches, a procedure on how to quantify the value of SHM information on the basis of the Bayesian decision theory is described. Various case studies with different types of structures (e.g. stadium roof, timber structures, offshore wind parks), several types of SHM systems (e.g. structural measurements, damage detection) and with diverse decision scenarios (e.g. structural system properties, SHM system properties, different SHM systems for structural service life extension) are outlined. Approaches for value of SHM information analyses visualisation and classification, both for the purposes of development of decision scenarios and for the comparison of case study results are introduced and described. Whereas the development of value of SHM information analyses is focussed on the establishment of a decision scenario, the comparison of analyses should also include the identification of optimal SHM information acquirement strategies, actions and decision rules beside an indication on which methodological and technological readiness level the analyses has been performed. The paper concludes with open fields identified when applying the visualisation and classification tools.
    Original languageEnglish
    Title of host publicationProceedings of the IABSE Symposium 2019 Guimarães
    PublisherInternational Association for Bridge and Structural Engineering
    Publication date2019
    ISBN (Electronic)978-1-5108-8445-8
    Publication statusPublished - 2019
    EventIABSE Symposium 2019 Guimarães: Towards a Resilient Built Environment - Risk and Asset Management - Guimarães, Portugal
    Duration: 27 Mar 201929 Mar 2019


    ConferenceIABSE Symposium 2019 Guimarães


    • Value of SHM Information
    • Structural Health Monitoring
    • Decision analysis
    • Case studies


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