GNGTS 2021 - Atti del 39° Convegno Nazionale

GNGTS 2021 S essione 2.2 354 totally of buildings of Saviano (more than of 80%) will result damaged, with damage intensity corresponding to that of the ULS. Obviously, it should be considered that the framework defined by the methodology is theoretical and that it does not include (at least in this phase) additional parameters that can influence in negative or in positive the seismic response of the constructions, such as the duration of an earthquake or its direction. In addition to predict the seismic damage scenarios, district fragility curves represent an interesting tool for planning, at urban level, strategies of retrofit interventions as a function of predicted vulnerability. District No.URM-1 No. URM-2 No. RC-1&2 1 2 3 4 5 6 7 100 9 48 5 10 44 28 20 83 91 69 0 0 0 80 62 59 171 89 250 253 Tab. 2 - Number of URM and RC buildings for each urban district Acknowledgements This work was developed under the financial support of the Italian Department of Civil Protection, within the ReLUIS-DPC 2018-2021 Research Project, which is gratefully acknowledged. References Kappos, A.J., Panagopoulos, G., Panagiotopoulos, C., Penelis, G. (2006). A hybridmethod for the vulnerability assessment of R/C and URM buildings. Bull Earth Eng 4, 391-413 Rosti, A., Rota, M., Penna, A. (2020). Empirical fragility curves for Italian URM building. Bull of Earth Eng. https://doi.org/10.1007/s10518-020-00845-9 Sandoli, A., Lignola, G.P., Calderoni, B., Prota, A. (2021). Fragility curves for Italian URM buildings based on a hybrid method. Bull of Earth Eng. (in press). Sandoli, A., and Calderoni, B. (2018). Assessment of the seismic vulnerability at territorial scale: a new structural-typological classification of existing building and definition of fragility curves. Proc. Of Int Mas Conf, 153-168. Zuccaro, G., and Cacace, F. (2015). Seismic vulnerability assessment based on typological characteristics. The forst level procedure “SAVE”. Soil Dyn and Earth Eng 69, 262-269. Corresponding author: antonio.sandoli@unina.it