Back to Search Start Over

Epistemic uncertainty in poorly detailed existing frames accounting for masonry infill variability and RC shear failure.

Authors :
Mucedero, Gianrocco
Perrone, Daniele
Monteiro, Ricardo
Source :
Earthquake Engineering & Structural Dynamics; Dec2022, Vol. 51 Issue 15, p3755-3778, 24p
Publication Year :
2022

Abstract

Robust performanceā€based earthquake assessment should consider the effects of both aleatory and epistemic uncertainty on seismic response parameters. While the effects of modelling uncertainty on specific engineering demand parameters and collapse fragility curves have been widely investigated to date on bare frame structural typologies, little attention has been paid to the impact of masonry infill properties variability on the uncertainty estimation in existing infilled RC frames. Previous studies available in the literature are mainly related to seismically designed RC buildings and the suggestions provided in international guidelines cannot be reasonably adopted for poorly detailed RC existing frames. As regards the uncertainty in existing RC frames, the role of masonry infills was often neglected or their interaction with the surrounding frames was not rigorously accounted for in the uncertainty estimation. With such limitations in mind, the aim of this study is to provide more realistic modelling uncertainty quantities to be adopted in seismic assessment of existing infilled RC frames, including, in a thorough manner, the impact of the variability of the masonry infill typologies and the occurrence of RC frame shear failure. Both the aleatory and epistemic uncertainties are estimated, in terms of the overall dispersion on specific engineering demand parameters and collapse fragility curves. Finally, the impact of such uncertainties on seismic risk estimates, quantified through expected annual losses, is also thoroughly investigated. The inclusion of additional random variables, not considered so far, in the uncertainty estimation framework, led to importantly higher modelling uncertainty quantities than those currently available from previous studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00988847
Volume :
51
Issue :
15
Database :
Complementary Index
Journal :
Earthquake Engineering & Structural Dynamics
Publication Type :
Academic Journal
Accession number :
160149740
Full Text :
https://doi.org/10.1002/eqe.3748