Seismic isolation technique is increasingly used both for the design of new buildings and for the seismic retrofit of existing buildings. Nevertheless, so far, little attention has been paid on the collapse capacity of these structures, mainly because it requires refined nonlinear models and careful consideration of different sources of uncertainties. To fill this gap, a set of collapse fragility functions for existing reinforced concrete‐frame buildings, designed for gravity loads only and then retrofitted with different isolation systems (including rubber‐based and friction‐based isolation systems), are derived in this study. For completeness, buildings with low and high seismic resistance are also considered. Collapse fragility functions are derived through incremental dynamic analysis, considering different collapse conditions both for isolation system and superstructure. For each case study building, mean and dispersion values are obtained considering both aleatory and epistemic uncertainties, due to record‐to record and model variability, respectively. Finally, some comments on the possible use of the results of this study for practical applications are made.

Developing collapse fragility curves for base-isolated buildings

Donatello Cardone
;
Giuseppe Perrone;
2019

Abstract

Seismic isolation technique is increasingly used both for the design of new buildings and for the seismic retrofit of existing buildings. Nevertheless, so far, little attention has been paid on the collapse capacity of these structures, mainly because it requires refined nonlinear models and careful consideration of different sources of uncertainties. To fill this gap, a set of collapse fragility functions for existing reinforced concrete‐frame buildings, designed for gravity loads only and then retrofitted with different isolation systems (including rubber‐based and friction‐based isolation systems), are derived in this study. For completeness, buildings with low and high seismic resistance are also considered. Collapse fragility functions are derived through incremental dynamic analysis, considering different collapse conditions both for isolation system and superstructure. For each case study building, mean and dispersion values are obtained considering both aleatory and epistemic uncertainties, due to record‐to record and model variability, respectively. Finally, some comments on the possible use of the results of this study for practical applications are made.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11563/134499
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