Building damage scenarios based on exploitation of Housner intensity derived from finite faults ground motion simulations |
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Authors: | Leonardo Chiauzzi Angelo Masi Marco Mucciarelli Marco Vona Francesca Pacor Giovanna Cultrera Frantisek Gallovi? Antonio Emolo |
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Institution: | 1.Department of Structures, Geotechnics and Engineering Geology,University of Basilicata,Potenza,Italy;2.Istituto Nazionale di Geofisica e Vulcanologia,Milano,Italy;3.Istituto Nazionale di Geofisica e Vulcanologia,Roma,Italy;4.Dipartimento di Scienze Fisiche,Università “Federico II”,Naples,Italy;5.Department of Geophysics,Charles University,Prague,Czech Republic |
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Abstract: | In this paper earthquake damage scenarios for residential buildings (about 4200 units) in Potenza (Southern Italy) have been
estimated adopting a novel probabilistic approach that involves complex source models, site effects, building vulnerability
assessment and damage estimation through Damage Probability Matrices. Several causative faults of single seismic events, with
magnitude up to 7, are known to be close to the town. A seismic hazard approach based on finite faults ground motion simulation
techniques has been used to identify the sources producing the maximum expected ground motion at Potenza and to generate a
set of ground motion time histories to be adopted for building damage scenarios. Additionally, site effects, evaluated in
a previous work through amplification factors of Housner intensity, have been combined with the bedrock values provided by
hazard assessment. Furthermore, a new relationship between Housner and EMS-98 macroseismic intensity has been developed. This
relationship has been used to convert the probability mass functions of Housner intensity obtained from synthetic seismograms
amplified by the site effects coefficients into probability mass function of EMS-98 intensity. Finally, the Damage Probability
Matrices have been applied to estimate the damage levels of the residential buildings located in the urban area of Potenza.
The proposed methodology returns the full probabilistic distribution of expected damage, thus avoiding average damage index
or uncertainties expressed in term of dispersion indexes. |
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