Abstract

The study of the seismic vulnerability of historical centres, especially in the Mediterranean zone, is one of the main issues in ongoing scientific research. This is due, on the one hand, to the continuous evolution of the seismic demand and, on the other hand, to the high vulnerability of the masonry existing building stock. The seismic events of the last few years highlighted the necessity to perform a large-scale survey of the huge amount of masonry buildings in historical centres, in order to provide prioritization scales for planning mitigation strategies. With this regard, the scientific literature provides several methodologies that allow a rapid assessment based on pre- defined survey forms. The data obtained from the surveys are usually used as the input for algorithms aimed at estimating the vulnerability level of the building investigated. The aim of the present work is to propose a general framework for analysing seismic vulnerability of masonry historical centres and deriving fragility curves basing on multiple data sources. In particular, using data collected through existing territorial databases, supplemented by a set of vulnerability forms available for the city centre of the Municipality of Foggia, Southern Italy, some vulnerability classes are defined. Based on the mechanical and geometrical features identified for each class, several ideal and representative buildings are generated, and their seismic behaviour is investigated through the variation of significant parameters. At the end, the capacity of the buildings is evaluated by performing simplified nonlinear analyses and, subsequently, by estimating the damage level of the sample through the definition of regional fragility curves.

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References

[1] Calvi G.M., Pinho R., Magenes G., Bommer J.J., Restrepo-Veléz L.F., Crowley H., (2006) The development of seismic vulnerability assessment methodologies for variable geographical scales over the past 30 years. ISET Journal of Earthquake Technology, 43(3), 75-104.

[2] G. Uva, P. L. Ciampoli, V. Leggieri, A. Nettis, and S. Ruggieri, A mechanical approach for estimating regional fragility curves of existing RC buildings stock in Puglia, in COMPDYN 2019 7th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (2019).

[3] Uva G, Sangiorgio V., Ciampoli P.L., Leggieri V, Ruggieri S., A novel rapid survey form for the vulnerability assessment of existing building stock based on the “Index Building” approach, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics (2019), Bari 6-9 Oct. DOI:10.1109/SMC.2019.8914063

[4] Perrone D, et al, Rapid visual screening for seismic evaluation of RC hospital buildings, Structures (2015), http://dx.doi.org/10.1016/j.istruc.2015.03.002

[5] Porco F., Ruggieri S., Uva G., (2018) Seismic assessment of irregular existing building: appraisal of the influence of compressive strength variation by means of nonlinear conventional and multimodal static analysis, Ingegneria Sismica, 35(3), pp. 64-86

[6] Lagomarsino S., Podesta S. (2004). Seismic vulnerability of ancient churches: I. Damage assessment and emergency planning. Earthquake Spectra, 20(2), pp. 377–394.

[7] Uva G, Sangiorgio V., Ruggieri S., Fatiguso F., Structural vulnerability assessment of masonry churches supported by user-reported data and modern Internet of Things (IoT), Measurement (2019), https://doi.org/10.1016/j.measurement.2018.08.014;

[8] De Matteis, G., Brando, G. & Corlito, V. Predictive model for seismic vulnerability assessment of churches based on the 2009 L’Aquila earthquake. Bull Earthquake Eng 17, 4909–4936 (2019). https://doi.org/10.1007/s10518-019-00656-7.

[9] G. Zuccaro, M. Dolce, D. De Gregorio, E. Speranza, and C. Moroni, La Scheda Cartis Per La Caratterizzazione Tipologico-Strutturale Dei Comparti Urbani Costituiti Da Edifici Ordinari. Valutazione dell’esposizione in analisi di rischio sismico 34° Convegno Nazionale GNGTS, Trieste, 17-19 novembre 2015.

[10] A. Bernardini (A cura di), La vulnerabilità degli edifici: valutazione a scala nazionale della vulnerabilità sismica degli edifici ordinari, CNR-Gruppo Nazionale per la Difesa dai Terremoti - Roma, 2000, 175 pp. + CD-ROM allegato

[11] G. Uva, C.A. Sanjust, S. Casolo, M. Mezzina, ANTAEUS project for the regional vulnerability assessment of the current building stock in historical centers International Journal of Architectural Heritage, 10(1), pp. 20-43, 2016. http://dx.doi.org/10.1080/15583058.2014.935983

[12] FEMA (2001) HAZUS99 Technical Manual. Service Release 2. Federal Emergency Management Agency, Washington, D.C., USA.

[13] Cosenza E., Manfredi G., Polese M., Verderame G.M., (2005) A multi-level approach to the capacity assessment of existing RC buildings. J. of Earthq. Eng., 9(1), 1-22.

[14] Borzi B., Pinho, R. Crowley H. (2008). Simplified pushover-based vulnerability analysis for large-scale assessment of RC buildings. Engineering Structures 30(3), 804-820.

[15] Del Vecchio C., Gentile R., Di Ludovico M., Uva G., Pampanin S. (2018). Implementation and Validation of the Simple Lateral Mechanism Analysis (SLaMA) for the Seismic Performance Assessment of a Damaged Case Study Building, Journal of Earthquake Engineering, https://doi.org/10.1080/13632469.2018.1483278

[16] Gentile R., del Vecchio C., Pampanin S., Raffaele D., Uva G. (2019). Refinement and Validation of the Simple Lateral Mechanism Analysis (SLaMA): Procedure for RC Frames. Journal of Earthquake Engineering. doi:10.1080/13632469.2018.1560377

[17] Ruggieri, S., Porco, F. & Uva, G. A practical approach for estimating the floor deformability in existing RC buildings: evaluation of the effects in the structural response and seismic fragility. Bull. Earthq. Eng. (2019).

[18] Lagomarsino S. and Giovinazzi S., Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings, Bull. Earthq. Eng. 4, 415–443, (2006).

[19] Borzi B., Crowley H., Pinho R. Simplified Pushover-Based Earthquake Loss Assessment (SP-BELA) Method for Masonry Buildings, International Journal of Architectural Heritage, (2008) 2:4, 353-376, DOI: 10.1080/15583050701828178A

[20] Y. Liu, Z. Li, B. Wei, X. Li and B. Fu, Seismic vulnerability assessment at urban scale using data mining and GIScience technology: application to Urumqi (China), Geomatics, Nat. Hazards Risk 10, 958–985 (2019).

[21] L. Matassoni, S. Giovinazzi, M. Pollino, A. Fiaschi, L. La Porta and V. Rosato, A Geospatial Decision Support Tool for Seismic Risk Management: Florence (Italy) Case Study, Computational Science and Its Applications – ICCSA 2013, 7974, 278–293 (2013).

[22] G. Uva, M. Dassisti, F. Iannone, G. Florio, F. Maddalena, M. Ruta, A. Grieco, I. Giannoccaro, V. Albino, M. Lezoche, A. Aubry, A. Giovannini, A. Buscicchio, Y. Eslami, V. Leggieri, Modelling Framework for Sustainable Co-management of Multi-purpose Exhibition Systems: The ‘Fiera del Levante’ Case, Procedia Engineering 180, 812-821, (2017).

[23] Uva G., Leggieri V., Morrone M., USE of data derived by different sources for the seismic vulnerability assessment of current building stock in GIS environment: an application to the municipality of Bisceglie, Italy. 3rd International Conference on International Conference on Recent Advances in Nonlinear Design, Resilience and Rehabilitation of Structures, CoRASS 2019 H. Barros, C. Ferreira, José M. Adam and Norb Delatte (Eds)

[24] Uva G., Leggieri V., Mastrodonato G., Proposal of a procedure for gathering data for the structural and energy classification of residential building stock: a case study in Puglia. 3rd International Conference on International Conference on Recent Advances in Nonlinear Design, Resilience and Rehabilitation of Structures, CoRASS 2019 H. Barros, C. Ferreira, José M. Adam and Norb Delatte (Eds)

[25] Pagnini LC, Vicente R, Lagomarsino S, Varum H. A mechanical model for the seismic vulnerability assessment of old masonry buildings. Earthq Struct 2011;2(1)

[26] Formisano A., Florio G., Landolfo R., Mazzolani F. Numerical calibration of an easy method for seismic behaviour assessment on large scale of masonry building aggregates. Advances in Engineering Software 80 (2015) 116–138

[27] Formisano A. Theoretical and Numerical Seismic Analysis of Masonry Building Aggregates: Case Studies in San Pio Delle Camere (L’Aquila, Italy). Journal of Earthquake Engineering, 00:1–19, 2016

[28] Ramos LF, Lourenço PB. Modeling and vulnerability of historical city centers in seismic areas: a case study in Lisbon. Eng Struct 2004;26(9):1295–310.

[29] Senaldi I, Magenes G, Penna A. Numerical investigations on the seismic response of masonry building aggregates. Adv Mater Res 2010;133– 134:715–20.

[30] Casolo S., Sanjust C. A., Uva G., Diana V., Seismic modelling and analysis of masonry building in aggregate: a case study. Compdyn 2017 6th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering M. Papadrakakis, M. Fragiadakis (eds.) Rhodes Island, Greece, 15–17 June 2017

[31] Fagundes C., Bento R., Cattari S., On the seismic response of buildings in aggregate: Analysis of a typical masonry building from Azores, Structures (2016).

[32] Ferrito T, Milosevic J, Bento R, Seismic vulnerability assessment of a mixed masonry–RC building aggregate by linear and nonlinear analyses. Bull Earthquake Eng. (2016).

[33] Aiello, M.A., Ciampoli, P.L., Fiore, A., Perrone, D., Uva, G. (2017a) Influence of infilled frames on seismic vulnerability assessment of recurrent building typologies, Ingegneria Sismica, 34(4), pp. 58-80

[34] Tomazevic, M., “The computer program POR”, Report ZRMK, 1978 (in Slovenian)

[35] https://www.newsoft-eng.it/software/por-2000/

[36] Circolare 21 gennaio 2019, n.7 C.S.LL.PP. Istruzioni per l’applicazione dell’Aggiornamento delle “Norme tecniche per le costruzioni” di cui al DM 17/01/2018.

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Published on 29/11/21
Submitted on 29/11/21

Volume Vulnerability and risk analysis, 2021
DOI: 10.23967/sahc.2021.034
Licence: CC BY-NC-SA license

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