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

被引:13
|
作者
Mucedero, Gianrocco [1 ]
Perrone, Daniele [1 ,2 ]
Monteiro, Ricardo [1 ]
机构
[1] Univ Sch Adv Studies IUSS Pavia, Piazza Vittoria 1, I-27100 Pavia, Italy
[2] Univ Salento, Lecce, Italy
来源
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS | 2022年 / 51卷 / 15期
关键词
collapse fragility curve; expected annual losses; infilled RC frames; masonry infill variability; modelling uncertainty; seismic risk assessment; REINFORCED-CONCRETE FRAMES; MODELING UNCERTAINTIES; SEISMIC RESPONSE; COLLAPSE RISK; BUILDINGS; PROPAGATION; SENSITIVITY; BEHAVIOR;
D O I
10.1002/eqe.3748
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Robust performance-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.
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页码:3755 / 3778
页数:24
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