The present study relates to comparison between different approaches for definition of global safety factors for non-linear analysis of slender RC members with reference to new or existing structures. Firstly, a benchmark set of 40 experimental results on reinforced concrete columns is presented. After the description of the main features of the benchmark test sets the related non-linear numerical models have been realized using fiber-modelling as solution strategy. Then, appropriate assumptions concerning aleatoric and epistemic uncertainties have been performed with the aim to run probabilistic analysis of global resistance for each one of the 40 columns. The results of the probabilistic analysis are useful to define global safety factors in line to the global resistance method. Finally, the comparison between different approaches to derive global safety factors is presented and discussed.

Comparison of Different Approaches to Derive Global Safety Factors for Non-linear Analyses of Slender RC Members / Gino, D.; Castaldo, P.. - 435:(2024), pp. 207-220. (Intervento presentato al convegno Italian Concrete Conference, ICC 2022 tenutosi a Naples (Italy) nel October 2022) [10.1007/978-3-031-43102-9_17].

Comparison of Different Approaches to Derive Global Safety Factors for Non-linear Analyses of Slender RC Members

Gino D.;Castaldo P.
2024

Abstract

The present study relates to comparison between different approaches for definition of global safety factors for non-linear analysis of slender RC members with reference to new or existing structures. Firstly, a benchmark set of 40 experimental results on reinforced concrete columns is presented. After the description of the main features of the benchmark test sets the related non-linear numerical models have been realized using fiber-modelling as solution strategy. Then, appropriate assumptions concerning aleatoric and epistemic uncertainties have been performed with the aim to run probabilistic analysis of global resistance for each one of the 40 columns. The results of the probabilistic analysis are useful to define global safety factors in line to the global resistance method. Finally, the comparison between different approaches to derive global safety factors is presented and discussed.
2024
978-3-031-43101-2
978-3-031-43102-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2984197