This study presents a high-fidelity, simulation-based Finite Element – Operational Modal Analysis – Machine Learning (FE–OMA–ML) framework for damage diagnosis of a jacket-type offshore wind turbine support structure. Finite-element-simulated acceleration responses are processed using Enhanced Frequency-Domain Decomp...
Hao-Yan Wu, F. Pugliese, Jessica Christie et al.· Scientific Reports· 0 citations
This study examines the impact of epistemic uncertainties on the seismic risk of a critical transport system, the Campania railway network, during the ongoing bradyseismic unrest at Campi Flegrei, south of Italy. Seismic risk is quantified as the length of the railway requiring post‐event inspection, an operational pro...
R. De Risi, F. Pugliese, J. Agarwal et al.· Risk Analysis· 0 citations
Urban flood simulation requires numerical models capable of representing the two-dimensional propagation of water over topographically complex surfaces under intense rainfall and localized inflows. The paper presents a two-dimensional hydraulic model based on the Saint-Venant equations (shallow-water equations). The nu...
F. de Paola, F. Pugliese, G. Speranza et al.· EWaS6 2026· 0 citations
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