PSI - Issue 78

Available online at www.sciencedirect.com

ScienceDirect

Procedia Structural Integrity 78 (2026) 839–844

© 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers * Corresponding author. E-mail address: valerii.maksimov@unicusano.it The methodology is applied to a representative RC building configuration reflecting the construction practices of high-risk coastal areas in southern Italy. A parametric analysis explores how building height and damage extent influence the repair cost ratio, providing insight into the vulnerability of low-rise structures. The proposed approach supports scalable loss modeling in regions characterized by data leverage and contributes to more informed planning in multi-hazard contexts Multi-hazard risk scenarios are gaining increasing attention in disaster risk modeling, especially in regions where primary events — such as earthquakes — can trigger cascading hazards like tsunamis, landslides, or coastal flooding. A major challenge in this context lies in the limited availability of empirical damage and loss data for secondary hazards, particularly tsunamis. This work proposes a framework for estimating tsunami-related economic losses by transferring knowledge from the seismic domain, where rich datasets and calibrated cost functions are already available. By correlating tsunami and seismic damage states through engineering-based criteria, the method enables the derivation of repair cost ratios for typical reinforced concrete buildings, even in the absence of observed tsunami damage. A key refinement is the introduction of uncertainty in the extent of ground-story infill wall damage, allowing a more realistic quantification of non-structural losses. XX ANIDIS Conference Integrating seismic and tsunami data for multi-hazard consequence functions: toward scalable loss scenarios Maria Zucconi a , Valerii Maksimov a, *, Barbara Ferracuti a , Marco Di Ludovico b and Marta Del Zoppo b a Department of Engineering, Niccolò Cusano University, Via Don Carlo Gnocchi 3, Rome, 00166, Italy b Department of Structures for Engineering and Architecture, University of Naples Federico II, Via Claudio 21, Naples, 80125, Italy Abstract

2452-3216 © 2025 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of XX ANIDIS Conference organizers 10.1016/j.prostr.2025.12.107