A study is presented on the seismic fragility analysis of a class of existing RC school buildings in Puglia, Southern Italy. Firstly, we defined a taxonomy for identifying a homogenous building class, through the collection of typological data, such as construction age, number of storeys and construction materials. After, by means of the available Census data on Italian school buildings, we selected 735 units in the focused area to assembly a proper database to involve in the phase of numerical modelling and analysis. To assess fragility, we employed two modelling options: (a) a single-degree-of-freedom approach, by evaluating the backbone of the simplified models; (b) a multidegree-of-freedom approach, by means of some index buildings of the class for which a full knowledge of geometrical and mechanical properties is available, as well as their spatial nonlinear numerical models. Nonlinear time history analyses were performed on all simplified models to define specific class fragility, accounting for any source of variability (record-to-record and building-to-building). The results of the investigation are compared in terms of class fragility curves, in order to highlight the differences between the two modelling approaches.
Seismic fragility assessment for a class of RC school buildings in Italy leveraging detailed and reduced-order models / Ruggieri, Sergio; Uva, Giuseppina. - ELETTRONICO. - (2021), pp. 3059-3072. (Intervento presentato al convegno 8th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2021 tenutosi a Virtual (Athens, Greece) nel June 28-30, 2021).
Seismic fragility assessment for a class of RC school buildings in Italy leveraging detailed and reduced-order models
Ruggieri Sergio
;Uva Giuseppina
2021-01-01
Abstract
A study is presented on the seismic fragility analysis of a class of existing RC school buildings in Puglia, Southern Italy. Firstly, we defined a taxonomy for identifying a homogenous building class, through the collection of typological data, such as construction age, number of storeys and construction materials. After, by means of the available Census data on Italian school buildings, we selected 735 units in the focused area to assembly a proper database to involve in the phase of numerical modelling and analysis. To assess fragility, we employed two modelling options: (a) a single-degree-of-freedom approach, by evaluating the backbone of the simplified models; (b) a multidegree-of-freedom approach, by means of some index buildings of the class for which a full knowledge of geometrical and mechanical properties is available, as well as their spatial nonlinear numerical models. Nonlinear time history analyses were performed on all simplified models to define specific class fragility, accounting for any source of variability (record-to-record and building-to-building). The results of the investigation are compared in terms of class fragility curves, in order to highlight the differences between the two modelling approaches.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.