Resistance Model Uncertainty in Non-Linear Numerical Analyses of Ultra-High-Performance Reinforced Concrete Beams in Flexure

This study presents the bending resistance model uncertainty and corresponding partial factors when performing a design or an assessment of ultra-high-performance reinforced concrete (UHPC) beams via non-linear finite element analyses (NLFEA).UHPC beams that have been both experimentally tested and simulated via NLFEA are considered, as documented in the literature, treating each source as presenting a unique modelling hypothesis of the beams' bending behaviour.A probabilistic analysis through Bayesian updating processes these uncertainties, updating prior distributions of resistance model uncertainty with data from various modelling hypothesis to estimate posterior distributions and the final average posterior distribution.The coefficient of variation and mean value of the average posterior distribution is used to calibrate corresponding partial factors in accordance with the the global safety format for NLFEAs proposed by codes and literature.

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Publication Details

Journal
Civil-comp conferences
Published
2024-08-26
DOI
https://doi.org/10.4203/ccc.9.9.3
Primary Topic
Structural Behavior of Reinforced Concrete
Type
article
Field-Weighted Citation Impact
0.00

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article

Resistance Model Uncertainty in Non-Linear Numerical Analyses of Ultra-High-Performance Reinforced Concrete Beams in Flexure

Lenganji Simwanda, Miroslav Sýkora
Civil-comp conferences
Structural Behavior of Reinforced Concrete
article

Resistance Model Uncertainty in Non-Linear Numerical Analyses of Ultra-High-Performance Reinforced Concrete Beams in Flexure

Lenganji Simwanda, Miroslav Sýkora
article en

Abstract

This study presents the bending resistance model uncertainty and corresponding partial factors when performing a design or an assessment of ultra-high-performance reinforced concrete (UHPC) beams via non-linear finite element analyses (NLFEA).UHPC beams that have been both experimentally tested and simulated via NLFEA are considered, as documented in the literature, treating each source as presenting a unique modelling hypothesis of the beams' bending behaviour.A probabilistic analysis through Bayesian updating processes these uncertainties, updating prior distributions of resistance model uncertainty with data from various modelling hypothesis to estimate posterior distributions and the final average posterior distribution.The coefficient of variation and mean value of the average posterior distribution is used to calibrate corresponding partial factors in accordance with the the global safety format for NLFEAs proposed by codes and literature.

Civil-comp conferencesVol. 9
Czech Technical University in Prague (CZ)
České Vysoké Učení Technické v Praze, Grantová Agentura České Republiky
Sustainable cities and communities
Openalex Percentile: Top 75%
Structural Behavior of Reinforced Concrete
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