Shear strength code models uncertainties assessment based on probabilistic simulation

Shear strength code models uncertainties assessment based on probabilistic simulation

Stať ve sborníku mimo WoS a Scopus

In the paper, a shear strength probabilistic assessment of concrete members with steel reinforcement is performed. The shear strength is analyzed by modelling with low‐fidelity models – analytical formulas based on two main approaches to predict the shear strength of reinforced concrete beams with and without shear reinforcement: the modified compression field theory and the truss model. Based on a comparison of these low‐fidelity analytical models and experimental data, model uncertainties can be evaluated. The aim of the analysis performed is to verify the existing code analytical formulas for shear strength calculation using stochastic models, to perform uncertainty propagation, sensitivity analysis and model uncertainty assessment. The code models of EN 1992‐1‐1, ACI 318 and fib Model Code 2010 are examined with respect to uncertainties involved and the reliability of the design value determination.

In the paper, a shear strength probabilistic assessment of concrete members with steel reinforcement is performed. The shear strength is analyzed by modelling with low‐fidelity models – analytical formulas based on two main approaches to predict the shear strength of reinforced concrete beams with and without shear reinforcement: the modified compression field theory and the truss model. Based on a comparison of these low‐fidelity analytical models and experimental data, model uncertainties can be evaluated. The aim of the analysis performed is to verify the existing code analytical formulas for shear strength calculation using stochastic models, to perform uncertainty propagation, sensitivity analysis and model uncertainty assessment. The code models of EN 1992‐1‐1, ACI 318 and fib Model Code 2010 are examined with respect to uncertainties involved and the reliability of the design value determination.

Shear strength, Uncertainty propagation, Monte Carlo simulation, Sensitivity analysis

Shear strength, Uncertainty propagation, Monte Carlo simulation, Sensitivity analysis

NOVÁK, D.; VEČEŘE, J.; ŠOMODÍKOVÁ, M.; KOTYNIA, R.

05.09.2025

Wiley

ce/papers Volume 8, Issue 3-4: 21st International Probabilistic Workshop

ce/papers

8

3-4

Spolková republika Německo

431

436

6

https://onlinelibrary.wiley.com/doi/10.1002/cepa.3332

http://hdl.handle.net/11012/255622