PSI - Issue 44

Gabriella Tocchi et al. / Procedia Structural Integrity 44 (2023) 1972–1979 Gabriella Tocchi et al./ Structural Integrity Procedia 00 (2022) 000–000

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5. Conclusions In this study a machine learning based approach is proposed for compiling building inventories at sub-municipal scale exploiting available Cartis data. A logistic regression algorithm is suitably developed for the identification of the Historical center, a homogeneous compartment in terms of building stock usually characterized by most ancient and vulnerable buildings, in a given urban area. To this aim, Cartis data and ISTAT data at census tract level for 40 municipalities in Campania region are used. Starting from basic information on buildings and population, municipal’s census tracts are classified as belonging to the Historical Center (HC) Town Compartments or not and the number of buildings included in it can be simply obtained joining all census tracts classified as belonging to HC. The identified compartments can be also graphically represented using a GIS software. The information on structural building features needed for the compiling of building inventory are obtained through a statistical analysis of the database. The resulting exposure model provides the percental occurrence of the main vulnerability factors for buildings as a function of the geographic and administrative area which the analyzed municipality belongs to. An application in two different municipalities in Campania region, that were already investigated by Cartis approach, shows the good predicting performance of the proposed model and a good correspondence in terms of building inventory. The approach proposed herein may be a useful support to facilitate and speed the identification of Town Compartments of Historical Center type; moreover, it provides a simplified approach to improve the exposure model at regional or sub-regional scale accounting for local building typologies. ACKNOWLEDGMENTS This study was performed within the framework of the PE2022–2023 joint program DPC-ReLUIS, WP2: “Inventory of existing building typologies” and WP4 “Risk maps and seismic damage scenarios”. References Braga F, Dolce M, Liberatore D (1982) Southern Italy November 23, 1980 earthquake: a statistical study on damaged buildings and an ensuing review of the M.S.K.-76 Scale. CNR-PFG 503, Rome, Italy. Crowley H, Ozcebe S, Baker H, Foulser-Piggott R, Spence R, D7. 2 State of the knowledge of building inventory data in Europe, 2014, NERA Deliverable,7, v3. Del Gaudio C, De Martino G, Di Ludovico M, Manfredi G, Prota A, Ricci P, Verderame GM (2019) Empirical fragility curves for masonry buildings after the 2009 L’Aquila, Italy, earthquake. Bull Earthq Eng 17(11):6301–6330. Del Gaudio C, Di Ludovico M, Polese M. Manfredi G. Prota A. Ricci P. Verderame GM (2020) Seismic fragility for Italian RC buildings based on damage data of the last 50 years, Bulletin of earthquake engineering, 18 (5), pp 2023-2059, DOI 10.1007/s10518-019-00762-6. Grünthal G (1998) Cahiers du centre européen de géodynamique et de séismologie: volume 15 – European Macroseismic Scale 1998. Luxembourg: European Center for Geodynamics and Seismology. Karababa FS, Pomonis A (2011) Damage data analysis and vulnerability estimation following the August 14, 2003 Lefkada Island, Greece, Earthquake. Bull. Earthq. Eng., 9, 1015– 1046.Karaman H, Şahin M, Elnashai AS (2008) Earthquake Loss Assessment Features of Maeviz Istanbul (Hazturk). J Earthq Eng 12(S2):175–186. Polese M, Gaetani d’Aragona M, Prota A (2019 a) Simplified approach for building inventory and seismic damage assessment at the territorial scale: an application for a town in southern Italy, Soil dynamics and earthquake engineering, 121:405-420. Polese M, Di Ludovico M, Tocchi G, Prota A (2021) The use of an integrated approach for building inventory and effects on risk estimations at the territorial scale, 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, June 2021, Athens, Greece. Rota M, Penna A, Strobbia CL (2008) Processing Italian damage data to derive typological fragility curves. Soil Dyn Earthq Eng 28(10):933–947. Tocchi, G., Polese, M., Di Ludovico, M., Prota, A. (2022). Regional based exposure models to account for local building typologies. Bull Earthquake Eng 20, 193–228. https://doi.org/10.1007/s10518-021-01242-6. Vettore, M., Donà, M., Carpanese, P., Follador, V., da porto, F., Valluzzi, M. (2020). A Multilevel Procedure at Urban Scale to Assess the Vulnerability and the Exposure of Residential Masonry Buildings: The Case Study of Pordenone, Northeast Italy. Heritage. 3. 1433-1468. 10.3390/heritage3040080. Zuccaro G, Dolce M, De Gregorio D, Speranza E, Moroni C (2015) La scheda CARTIS per la caratterizzazione tipologico- strutturale dei comparti urbani costituiti da edifici ordinari. Valutazione dell’esposizione in analisi di rischio sismico; In: Proceedings of GNGTS.