2022
DOI: 10.1007/s10518-022-01605-7
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Seismic fragility curves for the Italian RC residential buildings based on non-linear dynamic analyses

Abstract: In the present paper, Fragility Curves (FCs) of Reinforced Concrete (RC) structural types representative of the existing Italian building stock have been derived through an analytical approach. The proposed methodology is based on Non-Linear Dynamic Analyses (NLDAs) encompassing all the steps required to bring about reliable as well realistic fragility results. First, prototype building types have been selected by considering the main attributes affecting the seismic vulnerability of existing RC buildings, tha… Show more

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Cited by 16 publications
(2 citation statements)
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“…Analytical methods for seismic fragility curves have also been proposed for different typologies of buildings, in particular, for Reinforced Concrete (RC). The most common approaches are based on non-linear dynamic analyses (Folić and Čokić, 2021;Manfredi et al, 2022;Ruggieri et al, 2022). The proposed methods often require a relevant modelling effort in defining the geometry and a high computational effort to solve the numerical problem.…”
Section: Introductionmentioning
confidence: 99%
“…Analytical methods for seismic fragility curves have also been proposed for different typologies of buildings, in particular, for Reinforced Concrete (RC). The most common approaches are based on non-linear dynamic analyses (Folić and Čokić, 2021;Manfredi et al, 2022;Ruggieri et al, 2022). The proposed methods often require a relevant modelling effort in defining the geometry and a high computational effort to solve the numerical problem.…”
Section: Introductionmentioning
confidence: 99%
“…In those works, six fragility models were developed, derived by means of mechanical models [14,15], using empirical approaches [16][17][18], or empirical-heuristic methodologies [19]. In the literature, it is possible to find many other methods for assessing both large-scale and building scale seismic vulnerability [20][21][22][23], but the above-mentioned approaches are very well suited to applications at territorial scales thanks to the definition of macro-typologies of buildings on the basis of available census data [24].…”
Section: Introductionmentioning
confidence: 99%