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Model Uncertainty in European UHPC Standards: Insights from SIA-2052 and NF P18-710 Flexure Models

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F25%3A00384216" target="_blank" >RIV/68407700:21610/25:00384216 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.4028/p-Jt8a8U" target="_blank" >https://doi.org/10.4028/p-Jt8a8U</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4028/p-Jt8a8U" target="_blank" >10.4028/p-Jt8a8U</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Model Uncertainty in European UHPC Standards: Insights from SIA-2052 and NF P18-710 Flexure Models

  • Original language description

    This study explores the assessment of model uncertainty within European Ultra-High-Performance Concrete (UHPC) standards, focusing particularly on the flexure models outlined in Swiss SIA-2052 and French NF P18-710. Model uncertainty is calibrated by comparing predictions of these models against a comprehensive test database consisting of 211 UHPC beams reported to fail in flexure. Additionally, the characteristics of model uncertainty, including mean, coefficient of variation, and probability distributions, are discussed. The study also explores regression and correlation analysis between model uncertainty and basic variables. Finally, the implications of these findings for partial factor method verifications are explored. Limitations of this study and scope of application of the obtained results are discussed and needs for further research are outlined. This analysis contributes to the ongoing discourse surrounding UHPC standards, offering valuable insights for improving reliability analysis of new structures made of novel UHPC materials.

  • 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/GA24-10892S" target="_blank" >GA24-10892S: Machine Learning for Multiscale Modelling of Spatial Variability and Fracture for Sustainable Concrete Structures</a><br>

  • Continuities

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

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Steel, Alloys, Functional Materials and Concrete Technologies

  • ISBN

    978-3-0364-0799-9

  • ISSN

    0255-5476

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    85-94

  • Publisher name

    Trans Tech Publications Ltd

  • Place of publication

    Durnten-Zurich

  • Event location

    Mikulov

  • Event date

    Sep 22, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article