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Combinatorial reliability-based optimization of nonlinear finite element model using an artificial neural network-based approximation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU139277" target="_blank" >RIV/00216305:26110/21:PU139277 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-64583-0_33" target="_blank" >http://dx.doi.org/10.1007/978-3-030-64583-0_33</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-64583-0_33" target="_blank" >10.1007/978-3-030-64583-0_33</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Combinatorial reliability-based optimization of nonlinear finite element model using an artificial neural network-based approximation

  • Original language description

    The paper describes the reliability-based optimization of TT shaped precast roof girder produced in Austria. Extensive experimental studies on small specimens and small and full-scale beams have been performed to gain information on fracture mechanical behaviour of utilized concrete. Subsequently, the destructive shear tests under laboratory conditions were performed. Experiments helped to develop an accurate numerical model of the girder. The developed model was consequently used for advanced stochastic analysis of structural response followed by reliability-based optimization to maximize shear and bending capacity of the beam and minimize production cost under defined reliability constraints. The enormous computational requirements were significantly reduced by the utilization of artificial neural network-based approximations of the original nonlinear finite element model of optimized structure.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Lecture Notes in Computer Science

  • ISBN

    978-3-030-64583-0

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    359-371

  • Publisher name

    Neuveden

  • Place of publication

    Siena, Italy

  • Event location

    Siena, Itálie

  • Event date

    Jul 19, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article