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Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F23%3AN0000003" target="_blank" >RIV/28399269:_____/23:N0000003 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003323020-328/semi-probabilistic-assessment-concrete-bridge-exploiting-additional-data-experiments-numerical-analysis-nov%C3%A1k-nov%C3%A1k-cao-pukl" target="_blank" >https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003323020-328/semi-probabilistic-assessment-concrete-bridge-exploiting-additional-data-experiments-numerical-analysis-nov%C3%A1k-nov%C3%A1k-cao-pukl</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1201/9781003323020-328" target="_blank" >10.1201/9781003323020-328</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semi-probabilistic assessment of concrete bridge exploiting additional data from experiments and numerical analysis

  • Original language description

    The paper presents an application of the novel methodology for the assessment of structures using a semi-probabilistic approach exploiting advanced probabilistic modeling and experimental results. The selected existing bridge is represented by a costly finite element model, which reflects the non-linearity of concrete and the construction process. Due to a significant computational burden of each simulation, it is not feasible to perform a Monte Carlo simulation and a semi-probabilistic approach was thus adopted. In this study, we investigate the possibility of a Gram-Charlier expansion described by the first four central moments efficiently obtained directly from Polynomial Chaos Expansion metamodel together with the uncertainty quantification of input random variables described by a joint probability distribution obtained from experimental data combined with prior assumptions from codes. Obtained results are compared to the standard approach assuming a Lognormal probability distribution of structural resistance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20102 - Construction engineering, Municipal and structural engineering

Result continuities

  • Project

    <a href="/en/project/TM04000012" target="_blank" >TM04000012: A concrete bridge health interpretation system based on mutual boost of big data and physical mechanism</a><br>

  • Continuities

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

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Life-Cycle of Structures and Infrastructure Systems - PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING (IALCCE 2023), 2-6 JULY, 2023, POLITECNICO DI MILANO, MILAN, ITALY

  • ISBN

    978-100332302-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    2697-2704

  • Publisher name

    CRC Press/Balkema

  • Place of publication

    London

  • Event location

    Milan

  • Event date

    Jul 2, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article