Blind Predictions and Uncertainty in the Simulation of Reinforced Concrete Structures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F28399269%3A_____%2F25%3AN0000017" target="_blank" >RIV/28399269:_____/25:N0000017 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi-org.ezproxy.techlib.cz/10.1002/cepa.3354" target="_blank" >https://doi-org.ezproxy.techlib.cz/10.1002/cepa.3354</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cepa.3354" target="_blank" >10.1002/cepa.3354</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Blind Predictions and Uncertainty in the Simulation of Reinforced Concrete Structures

Popis výsledku v původním jazyce

Nonlinear analysis of reinforced concrete structures is becoming a standard tool for both the assessment of existing structures and the design of new ones. This trend is supported by new safety formats for nonlinear analysis introduced in the fib Model Code 2010 and incorporated in the new Eurocode (prEN 1992-1-1:2022). A key challenge is the evaluation and management of uncertainties. This paper focuses on the model uncertainty in ultimate and serviceability limit states, including crack width estimation. The significant insights into modeling uncertainty are provided by the recent blind prediction competitions, which offer a practical benchmark for assessing the robustness and reliability of nonlinear models and software tools. This paper highlights the findings from several such competitions. A key limitation is that the material uncertainties are typically neglected, meaning that the most accurate predictions often result from a chance rather than from the consistently reliable modeling.

Název v anglickém jazyce

Blind Predictions and Uncertainty in the Simulation of Reinforced Concrete Structures

Popis výsledku anglicky

Nonlinear analysis of reinforced concrete structures is becoming a standard tool for both the assessment of existing structures and the design of new ones. This trend is supported by new safety formats for nonlinear analysis introduced in the fib Model Code 2010 and incorporated in the new Eurocode (prEN 1992-1-1:2022). A key challenge is the evaluation and management of uncertainties. This paper focuses on the model uncertainty in ultimate and serviceability limit states, including crack width estimation. The significant insights into modeling uncertainty are provided by the recent blind prediction competitions, which offer a practical benchmark for assessing the robustness and reliability of nonlinear models and software tools. This paper highlights the findings from several such competitions. A key limitation is that the material uncertainties are typically neglected, meaning that the most accurate predictions often result from a chance rather than from the consistently reliable modeling.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20101 - Civil engineering

Projekt

<a href="/cs/project/GA24-10892S" target="_blank" >GA24-10892S: Strojové učení pro víceúrovňové modelování prostorové variability a trhlin pro zajištění udržitelnosti betonových konstrukcí</a><br>

Návaznosti

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

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

ce/papers

ISSN

2509-7075

e-ISSN

2509-7075

Svazek periodika

Vol. 8

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

9

Strana od-do

241 - 249

Kód UT WoS článku

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EID výsledku v databázi Scopus

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