PSI - Issue 78

Maria Zucconi et al. / Procedia Structural Integrity 78 (2026) 839–844

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on incorporating additional sources of variability, including structural typology, contents damage, and spatial hazard distribution.

Acknowledgements The authors acknowledge financial support under the National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.1, Call for tender No. 104 published on 2.2.2022 by the Italian Ministry of University and Research (MUR), funded by the European Union – NextGenerationEU – Project Title 2022YBAXTY - MITICO, MItigation of Tsunami Impact on COastal Regions – CUP MASTER: E53D23003910006, CUP E53D23003910006, CUP: F53D23002050008 - Grant Assignment Decree No. PE8 prot.961. adopted on 30-06-2023 by the Italian Ministry of Ministry of University and Research (MUR). This work was partially carried out under the PE2024 – 2026 joint program DPC –ReLUIS, WP4: “MARS CARTIS”, funded by the Italian Civil Protection Department (Presidency of the Council of Ministers). The opinions expressed in this publication are those of the authors and do not necessarily reflect the official position of the Department. References Basili R, Brizuela B, Herrero A, et al (2021) The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18). Front Earth Sci (Lausanne) 8:. https://doi.org/10.3389/feart.2020.616594 Del Zoppo M, Di Ludovico M, Lignola GP, Prota A (2025) Time-dependent tsunami fragility analysis for reinforced concrete building stock. Eng Struct 330:. https://doi.org/10.1016/j.engstruct.2025.119931 Di Ludovico M, De Martino G, Prota A, et al (2022) Relationships between empirical damage and direct/indirect costs for the assessment of seismic loss scenarios. Bulletin of Earthquake Engineering 20:229 – 254. https://doi.org/10.1007/s10518-021-01235-5 Dolce M, Pizza AG, Papa F, et al (2014) Manuale per la compilazione della scheda di valutazione di danno e agibilità post-sisma per edifici a struttura prefabbricata o di grande luce (GL-AeDES, Manual for the compilation of the form for post earthquake damage and usability assessment of prefabr. DPC, Italy. (in Italian) Dolce M, Prota A, Borzi B, et al (2021) Seismic risk assessment of residential buildings in Italy. Bulletin of Earthquake Engineering 19:2999 – 3032. https://doi.org/10.1007/s10518-020-01009-5 Dolce M, Speranza E, Giordano F, et al ANIDIS 2017 PISTOIA Da.D.O-A web-based tool for analyzing and comparing post-earthquake damage database relevant to national seismic events since 1976 FEMA - Hazus 5.1 (2022) Hazus Tsunami Model Technical Manual Goda K, Abilova K (2016) Tsunami hazard warning and risk prediction based on inaccurate earthquake source parameters. Natural Hazards and Earth System Sciences 16:577 – 593. https://doi.org/10.5194/nhess-16-577-2016 Goda K, De Risi R (2017) Probabilistic tsunami loss estimation methodology: Stochastic earthquake scenario approach. Earthquake Spectra 33:1301 – 1323. https://doi.org/10.1193/012617EQS019M Goda K, De Risi R (2018) Multi-hazard loss estimation for shaking and tsunami using stochastic rupture sources. International Journal of Disaster Risk Reduction 28:. https://doi.org/10.1016/j.ijdrr.2018.01.002 Grünthal G (1998) Cahiers du Centre Européen de Géodynamique et de Séismologie: Volume 15 – European Macroseismic Scale 1998. European Center for Geodynamics and Seismology, Luxembourg ISTAT (Istituto Nazionale di Statistica) (2023) Censimento permanente della popolazione e delle abitazioni: edifici per comune Romano F, Alam MS, Zucconi M, et al (2021) Seismic demand model class uncertainty in seismic loss analysis for a code-designed URM infilled RC frame building. Bulletin of Earthquake Engineering 19:429 – 462. https://doi.org/10.1007/s10518-020-00994-x Romano F, Faggella M, Gigliotti R, et al (2018) Comparative seismic loss analysis of an existing non-ductile RC building based on element fragility functions proposals. Eng Struct 177:707 – 723. https://doi.org/10.1016/j.engstruct.2018.08.005 Song J, Goda K (2019) Influence of Elevation Data Resolution on Tsunami Loss Estimation and Insurance Rate-Making. Front Earth Sci (Lausanne) 7:. https://doi.org/10.3389/feart.2019.00246 TSUMAPS-NEAM Consortium (2018) NEAM Tsunami Hazard Model 2018 (NEAMTHM18): online data of the Probabilistic Tsunami Hazard Assessment in the NEAM Region Vecchio C Del, Eeri M, Di Ludovico M, Prota A (2020) Repair costs of reinforced concrete building components: From actual data analysis to calibrated consequence functions. Earthquake Spectra 36:353 – 377. https://doi.org/10.1177/8755293019878194 Zucconi M, Bovo M, Ferracuti B (2022) Loss Assessment of Non-Ductile RC Buildings Accounting for Bidirectional Ground Motion. In: Procedia Structural Integrity. Elsevier B.V., pp 315 – 322 Zucconi M, Maksimov V, Ferracuti B, et al (2025) Coastal flooding and tsunami loss assessment: state of the art and proposal for predicting building damage and repair costs. In: COMPDYN 2025, 10th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering