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  5. From seismic input to damage scenario: an example for the pilot area of Mt. Etna volcano (Italy) in the KnowRISK Project
 
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From seismic input to damage scenario: an example for the pilot area of Mt. Etna volcano (Italy) in the KnowRISK Project

Author(s)
Azzaro, Raffaele  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
D'Amico, Salvatore  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Langer, Horst  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Meroni, Fabrizio  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia  
Squarcina, Thea  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Milano, Milano, Italia  
Tusa, Giuseppina  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Tuvè, Tiziana  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Rupakhety, R.  
Earthquake Engineering Research Centre (EERC) - University of Iceland  
Type
Conference paper
Language
English
Obiettivo Specifico
4T. Sismologia, geofisica e geologia per l'ingegneria sismica
Status
Published
Journal
International Conference on Earthquake Engineering and Structural Dynamics  
Date Issued
June 12, 2017
Conference Location
Reykjavik, Iceland
Alternative Location
http://icesd.hi.is/wp-content/uploads/2017/06/AID_40.pdf
URI
https://www.earth-prints.org/handle/2122/11032
Subjects

Mt. Etna

KnowRisk Project

seismic scenarios

ground motion paramet...

risk map

Abstract
In this paper we present a multidisciplinary approach aimed at assessing seismic risk due to non-structural damage. The study has been carried out in the framework of the European KnowRISK Project and focuses on the pilot area of Mt. Etna volcano (Italy). Both instrumental data and as well as macroseismic observations provide unique opportunities for testing innovative and classical approaches for assessing seismic risk. Starting from the seismic hazard analysis, we first identify a test site (Zafferana) affected by non-structural damage. We produce seismic scenarios based on macroseismic and ground-motion data and finally obtain the relevant risk map using the Italian census data to classify buildings into vulnerability classes and a model to predict damage distribution.
References
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