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Civil-Comp Conferences
ISSN 2753-3239
CCC: 9
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 9.3

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

L. Simwanda and M. Sykora

Department of Structural Reliability, Czech Technical University in Prague, Prague, Czech Republic

Full Bibliographic Reference for this paper
L. Simwanda, M. Sykora, "Resistance Model Uncertainty in Non-Linear Numerical Analyses of Ultra-High-Performance Reinforced Concrete Beams in Flexure", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 9.3, 2024, doi:10.4203/ccc.9.9.3
Keywords: ultra-high-performance concrete, non-linear finite element analysis, flexure, resistance model uncertainties, partial factor, Bayesian updating.

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.

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