The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies.

Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake / DEL GAUDIO, Carlo; DE MARTINO, Giuseppina; DI LUDOVICO, Marco; Manfredi, Gaetano; Prota, Andrea; Ricci, Paolo; Verderame, GERARDO MARIO. - In: BULLETIN OF EARTHQUAKE ENGINEERING. - ISSN 1570-761X. - 15:4(2017), pp. 1425-1450. [10.1007/s10518-016-0026-1]

Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake

DEL GAUDIO, CARLO;DE MARTINO, GIUSEPPINA;DI LUDOVICO, MARCO;MANFREDI, GAETANO;PROTA, ANDREA;RICCI, PAOLO;VERDERAME, GERARDO MARIO
2017

Abstract

The study analyses the data related to a database of 7597 private Reinforced Concrete buildings located in the city and the province of L’Aquila surveyed after the 2009 earthquake. Survey data were collected by the Italian Department of Civil Protection during post-earthquake usability inspections including information on building characteristics, level and extent of damage to structural and non-structural components. For each building, the Peak Ground Acceleration demand has been determined according to data available from the ShakeMap of the event and the georeferenced building location. The analysis of data highlights the key role played by the damage to non-structural components—namely, infills and partitions. Damage Grades according to the European Macroseismic Scale EMS-98 have been derived from damage data to single building components. Two building classes have been defined in the study in order to investigate the influence of number of storeys of buildings on the observed damage. Damage Probability Matrices have been derived for the assumed building classes and bins of Peak Ground Acceleration, and observed trends are analyzed. Different methodologies for estimating fragility functions from data on Damage Grades and Peak Ground Acceleration demand are illustrated, discussed and applied to the database, leading to the derivation of EMS-98-based fragility curves for the defined building classes. Finally, the proposed fragility curves are compared with main empirical fragility curves for RC buildings from literature studies.
2017
Empirical fragility curves from damage data on RC buildings after the 2009 L’Aquila earthquake / DEL GAUDIO, Carlo; DE MARTINO, Giuseppina; DI LUDOVICO, Marco; Manfredi, Gaetano; Prota, Andrea; Ricci, Paolo; Verderame, GERARDO MARIO. - In: BULLETIN OF EARTHQUAKE ENGINEERING. - ISSN 1570-761X. - 15:4(2017), pp. 1425-1450. [10.1007/s10518-016-0026-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/646600
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