Putrino, V; D'Ayala, DINA; (2019) Norcia And Amatrice. A Comparison of The Two Historic Centres’ Performance under The Central Italy Earthquake Sequence. In: Proceedings of the 7th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering 2019. (pp. pp. 2636-2648). COMPDYN 2019: Crete, Greece.

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Abstract

The seismic sequence started on the 24th of August 2016 and concluded on January 2017 affected four region of Central Italy causing casualties, widespread damage to residential and heritage buildings and prolonged disruption. Among the many municipalities impacted by the seismic events, the towns of Amatrice and Norcia suffered the major losses. Although many similarities can be found in their urban layouts and comparison can be made in terms of building materials, techniques and periods of construction, epicentral distances from the fault of the relevant seismic events and categorization in terms of seismic zonation, the significant shaking alone cannot justify the severe damage extent observed in Amatrice in comparison to the very limited one recorded in Norcia. The purpose of this paper is to investigate the different behavior of the two urban settlements of Norcia and Amatrice under the relevant shakings, and to discuss the different damage extents to their residential urban fabrics considering the specific structural features and vulnerability factors. To accomplish this, a set of building data collected in Norcia during the EEFIT individual research mission carried out in September 2017, is first analyzed using the vulnerability assessment method FaMIVE; an extrapolation of the same data set is then ‘re-adjusted’ in terms of material characteristics and strengthening elements to resemble the building stock of Amatrice: this is done on the basis of site observation collected by the authors during the 2016 Central Italy EEFIT mission. From the output of the FaMIVE procedure, capacity curves are derived and compared with the spectra of the main shocks of the seismic sequence. Cloud of performance points are generated for each event to be used to determine fragility curves, representative of the percentage of buildings undergoing certain damage levels under the specific seismic scenario. A discussion on the obtained results and the capability of the method to represent the observed damage extents concludes the paperThe seismic sequence started on the 24th of August 2016 and concluded on January 2017 affected four region of Central Italy causing casualties, widespread damage to residential and heritage buildings and prolonged disruption. Among the many municipalities impacted by the seismic events, the towns of Amatrice and Norcia suffered the major losses. Although many similarities can be found in their urban layouts and comparison can be made in terms of building materials, techniques and periods of construction, epicentral distances from the fault of the relevant seismic events and categorization in terms of seismic zonation, the significant shaking alone cannot justify the severe damage extent observed in Amatrice in comparison to the very limited one recorded in Norcia. The purpose of this paper is to investigate the different behavior of the two urban settlements of Norcia and Amatrice under the relevant shakings, and to discuss the different damage extents to their residential urban fabrics considering the specific structural features and vulnerability factors. To accomplish this, a set of building data collected in Norcia during the EEFIT individual research mission carried out in September 2017, is first analyzed using the vulnerability assessment method FaMIVE; an extrapolation of the same data set is then ‘re-adjusted’ in terms of material characteristics and strengthening elements to resemble the building stock of Amatrice: this is done on the basis of site observation collected by the authors during the 2016 Central Italy EEFIT mission. From the output of the FaMIVE procedure, capacity curves are derived and compared with the spectra of the main shocks of the seismic sequence. Cloud of performance points are generated for each event to be used to determine fragility curves, representative of the percentage of buildings undergoing certain damage levels under the specific seismic scenario. A discussion on the obtained results and the capability of the method to represent the observed damage extents concludes the paper

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