4.1 Article

Census-Based Typological Damage Fragility Curves and Seismic Risk Scenarios for Unreinforced Masonry Buildings

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GEOSCIENCES
卷 12, 期 1, 页码 -

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MDPI
DOI: 10.3390/geosciences12010045

关键词

state of repair; construction timespan; number of stories; damage states; typological classes; simulation of uninspected buildings; damage seismic risk map; maximum likelihood estimation; 2009 L'Aquila earthquake; AeDES form

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Seismic risk assessment is crucial for optimal management of economic resources. This study focuses on developing damage fragility curves for unreinforced masonry buildings using data observed after the 2009 L'Aquila earthquake in Italy. The results show that older buildings are more vulnerable and the state of repair plays a crucial role in the damage fragility curves. The new set of fragility functions has been uploaded to the Italian Risk Maps platform as an example of their potential application.
Seismic risk assessment has become a crucial issue for optimal management of economic resources allocated to mitigation. For this purpose, in the last decades, several research activities were aimed to update hazard, exposure, and vulnerability models that contribute to seismic risk assessment. From this perspective, the present work focuses on developing new empirical damage fragility curves for census-based typological unreinforced masonry buildings. In particular, damage data observed after the 2009 L'Aquila earthquake, Italy, related to almost 57,000 residential buildings, were used to calibrate the fragility functions. These data were complemented with the census data with the aim of obtaining an accurate estimation of the number of undamaged buildings. Damage fragility curves were identified for typological building classes, defined considering parameters present in both post-earthquake observations and census data with the aim of extending the results to the whole national territory. Six typological classes were defined considering the categories of the construction timespan and of the state of repair parameters. Then, a further distinction of the typological classes considering the number of stories parameter was included where relevant. The fragility curves were defined as a function of peak ground acceleration for five damage states, defined according to the European macroseismic scale. The results confirmed that older buildings are more vulnerable than newer ones and highlighted the crucial role of the state of repair on the damage fragility curves. Finally, the new set of damage fragility functions was uploaded in the Italian Risk Maps information technology platform, used by the Civil Protection Department for risk evaluation, as an exemplification of the potential application of the fragility curves.

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