Abstract
In this paper we present a multidisciplinary approach aimed at assessing seismic risk regarding 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.
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References
Albarello D (2012) Design earthquake from site-oriented macroseismic hazard estimates. Boll Geof Teor Appl 53(1):7–18
Alparone S, Maiolino V, Mostaccio A, Scaltrito A, Ursino A, Barberi G, D’Amico S, Di Grazia G, Giampiccolo E, Musumeci C, Scarfì L, Zuccarello L (2015) Instrumental seismic catalogue of Mt. Etna earthquakes (Sicily, Italy): ten years (2000–2010) of instrumental recordings. Ann Geophys 58(4):S0435
Azzaro R, Barbano MS, D’Amico S, Tuvè T (2006) The attenuation of seismic intensity in the Etna region and comparison with other Italian volcanic districts. Ann Geophys 49(4/5):1003–1020
Azzaro R, D’Amico S, Tuvè T (2011) Estimating the magnitude of historic earthquakes from macroseismic intensity data: new relationships for the volcanic region of Mount Etna (Italy). Seismol Res Lett 82(4):533–544
Azzaro R, D’Amico S, Peruzza L, Tuvè T (2013a) Probabilistic seismic hazard at Mt. Etna (Italy): the contribution of local fault activity in mid-term assessment. J Volcanol Geotherm Res 251:158–169
Azzaro R, D’Amico S, Rotondi R, Tuvè T, Zonno G (2013b) Forecasting seismic scenarios on Etna volcano (Italy) through probabilistic intensity attenuation models: a Bayesian approach. J Volcanol Geotherm Res 251:149–157
Azzaro R, D’Amico S, Tuvè T (2016) Seismic hazard assessment in the volcanic region of Mt. Etna (Italy): a probabilistic approach based on macroseismic data applied to volcano-tectonic seismicity. Bull Earth Eng 17(7):1813–1825
Benedetti D, Petrini V (1984) On seismic vulnerability of masonry buildings: proposal of an evaluation procedure. L’industria delle Costruzioni 18:66–78
Bernardini A, Giovinazzi S, Lagomarsino S, Parodi S (2007) Matrici di probabilità di danno implicite nella scala EMS98. XII Convegno ANIDIS “L’ingegneria sismica in Italia”, Pisa, CD-ROM
Bernardini A, Salmaso L, Solari A (2008) Statistical evaluation of vulnerability and expected seismic damage of residential buildings in the Veneto-Friuli area (NE Italy). Boll Geof Teor Appl 49(3–4):427–446
Boore DM (2009) Comparing stochastic point-source and finite-source ground-motion simulations: SMSIM and EXSIM. Bull Seism Soc Am 99:3202–3216
Chiauzzi L, Masi A, Mucciarelli M, Vona M, Pacor F, Cultrera G, Gallovic F, Emolo A (2012) Building damage scenarios based on exploitation of Housner intensity derived from finite faults ground motion simulations. Bull Earth Eng 10:517–545. https://doi.org/10.1007/s10518-011-9309-8
CMTE Working Group (2017) Catalogo Macrosismico dei Terremoti Etnei, 1600–2013. INGV Catania. http://www.ct.ingv.it/macro/
Crowley H, Pinho R (2004) Period height relationship for existing European reinforced concrete buildings. J Earth Eng 8:93–119
D’Amico V, Albarello D (2008) SASHA: a computer program to assess seismic hazard from intensity data. Seismol Res Lett 79(5):663–671
D’Amico S, Meroni F, Sousa ML, Zonno G (2016) Building vulnerability and seismic risk analysis in the urban area of Mt. Etna volcano (Italy). Bull Earthq Eng 14(7):2031–2045
Grünthal G (ed) (1998) European macroseismic scale 1998 (EMS-98). European Seismological Commission, subcommission on Engineering Seismology, working Group Macroseismic Scales. Conseil de l’Europe, Cahiers du Centre Européen de Géodynamique et de Séismologie 15, Luxembourg, p 99. http://www.ecgs.lu/cahiers-bleus/
ISTAT (1991) 13° censimento generale della popolazione, 1991. Dati sulle caratteristiche strutturale della popolazione e delle abitazioni, Roma
Iwan WD (1997) Drift spectrum: measure of demand for earthquake ground motions. J Struct Eng 123:397–404
Lagomarsino S, Giovinazzi S (2006) Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings. Bull Earthq Eng 4:415–443
Langer H, Tusa G, Scarfì L, Azzaro R (2015) Ground-motion scenarios on Mt. Etna inferred from empirical relations and synthetic simulations. Bull Earthq Eng 14(7):1917–1943. https://doi.org/10.1007/s10518-015-9823-1
Meroni F, Petrini V, Zonno G (1999) Valutazione della vulnerabilità di edifici su aree estese tramite dati ISTAT, Atti 9° Convegno Nazionale ANIDIS: L’ingegneria Sismica in Italia, Torino (CD-ROM)
Meroni F, Petrini V, Zonno G (2000) Distribuzione nazionale della vulnerabilità media comunale. In: Bernardini A (ed) La vulnerabilità degli edifici. CNR-GNDT, Roma, pp 105–131
Meroni F, Zonno G, Azzaro R, D’Amico S, Tuvè T, Oliveira CS, Ferreira MA, Mota de Sá F, Brambilla C, Rotondi R, Varini E (2016) The role of the urban system dysfunction in the assessment of seismic risk in the Mt. Etna area (Italy). Bull Earthq Eng 14(7):1979–2008. https://doi.org/10.1007/s10518-015-9780-8
Miranda E, Akkar S (2006) Generalized interstory drift spectrum. J Struct Eng 132:840–852. https://doi.org/10.1061/ASCE0733-94452006132:6840
Rotondi R, Varini E, Brambilla C (2016) Probabilistic modelling of macroseismic attenuation and forecast of damage scenarios. Bull Earthq Eng 14(7):1777–1796. https://doi.org/10.1007/s10518-015-9781-7
Scarfì L, Langer H, Garcia-Fernandez M, Jimenez JM (2016) Path effects and local elastic site amplification: two case studies on Mt Etna (Italy) and Vega Baja (SE Spain). Bull Earthq Eng 14:2117. https://doi.org/10.1007/s10518-016-9883-x
Sousa ML (2006) Risco Sísmico em Portugal Continental. PhD thesis, IST, UTL, Lisbon, Portugal
Sousa ML (2008) Annualized economic and human earthquake losses for the Portuguese mainland. In: Proceedings of the 14EWEE, China
Tusa G, Langer H (2016) Prediction of ground-motion parameters for the volcanic area of Mount Etna. J Seismol 20:1–42. https://doi.org/10.1007/s10950-015-9508-x
Acknowledgements
Know your city, Reduce seISmic risK through non-structural elements, the KnowRISK project was co-financed by the EU-Civil Protection Financial Instrument with the Grant Agreement N. ECHO/SUB/2015/718655/PREV28. It is a project that involved four different European research centers and universites under the coordination of the Instituto Superior Tecnico (Portugal). The partners are the Istituto Nazionale di Geofisica e Vulcanologia (Italy), the Laboratorio Nacional de Engenharia Civil (Portugal) and the Earthquake Engineering Research Centre (University of Iceland). We acknowledge Carlos Sousa Oliveira, Mario Lopes, and all the KnowRISK group for the fruitful discussions and support.
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Azzaro, R. et al. (2019). From Seismic Input to Damage Scenario: An Example for the Pilot Area of Mt. Etna Volcano (Italy) in the KnowRISK Project. In: Rupakhety, R., Olafsson, S., Bessason, B. (eds) Proceedings of the International Conference on Earthquake Engineering and Structural Dynamics. ICESD 2017. Geotechnical, Geological and Earthquake Engineering, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-78187-7_21
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DOI: https://doi.org/10.1007/978-3-319-78187-7_21
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