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A Comparison of Sensitivity Analyses of Prestressed Composite Bridge

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU125875" target="_blank" >RIV/00216305:26110/17:PU125875 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Comparison of Sensitivity Analyses of Prestressed Composite Bridge

  • Original language description

    Three sensitivity analysis methods are employed for proper selection of dominant random variables of prestressed composite bridge. The first one uses the non-parametric rank-order statistical correlation between the basic random variables and the structural response variable. The second method is neural network ensemble-based sensitivity analysis and the last one is sensitivity analysis in terms of coefficient of variation. All three methods were utilized and compared for the prestressed concrete bridge made of MPD girders. Such an information was used for proper set up of stochastic model and response surfaces and subsequent determination of selected uncertain design parameters followed by load-bearing capacity and reliability assessment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • 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

    12th International Conference on Structural Safety & Reliability (ICOSSAR 2017)

  • ISBN

    978-3-903024-28-1

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    583-592

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Vienna

  • Event date

    Aug 6, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article