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Optimal Decisions Based on Monitoring - Case Study of Steel Roof

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F17%3A00313927" target="_blank" >RIV/68407700:21610/17:00313927 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5592/CO/BSHM2017.4.7" target="_blank" >http://dx.doi.org/10.5592/CO/BSHM2017.4.7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5592/CO/BSHM2017.4.7" target="_blank" >10.5592/CO/BSHM2017.4.7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimal Decisions Based on Monitoring - Case Study of Steel Roof

  • Original language description

    Monitoring of structures and related decisions based on cost optimization are discussed in this contribution. Many research publications and experimental data are currently available on inspection and on monitoring and they represent the outcome of the remarkable work done. Not all the topics of interest are widely debated and implemented in standards. The current state-of-practice in standards is summarized and aspects to be included in future recommendations are proposed. The implementation of risk-based decisions is illustrated in a case study dealing with a stadium roof in Northern Italy. Snow actions are important especially in northern and mountainous region where heavy snowfalls and related accumulation result to considerable loads. As the roof structure fails to comply with the requirements of Eurocodes, a permanent monitoring system has been installed to allow for real time evaluation of the reliability level of the strucure. The system supplies the necessary information supporting immediate decisions on closure of the stadium in case of an extraordinary snow load. Cost-optimal decisions regarding the closure of the stadium are analysed based on a limit state function, on probabilistic models for the influencing parameters including measurement uncertainty, economic losses related to closure and failure consequences. The results demonstrate the potential of the use of the monitoring systems and probabilistic reliability analysis in order to support decisions and highlight the need for their implementation in future standards.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

    <a href="/en/project/LD15037" target="_blank" >LD15037: Probabilistic optimisation of structural monitoring</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop

  • ISBN

    978-953-8168-08-6

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    "4.7-1"-"4.7-7"

  • Publisher name

    University of Zagreb, Faculty of Civil Engineering

  • Place of publication

    Zagreb

  • Event location

    Zagreb

  • Event date

    Mar 2, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article