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
—