R. De Risi

On the use of machine learning in damage identification of offshore jacket wind turbine: a virtual case study

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...

Development of Building Flood Fragility Curves in Bali Through Bayesian Inference and Two-Dimensional Hydraulic Simulation

The riverine areas of Bali face complex challenges from increasing climate-change impacts, population growth, rapid land-use change, and rising economic activity. These conditions have exacerbated flood risk, particularly along the Tukad Badung River. Effective flood mitigation requires appropriate risk assessment, par...

International Journal of Disaster Risk Reduction

Seismic Risk of Critical Transport Systems: Sensitivity Analysis of the Campania Railway Network to Bradyseism's Features

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...

Refined Numerical Modeling of a Bidirectional Rotational Friction Damper for Seismic Retrofitting

Over the past few decades, numerous precast reinforced concrete (RC) structures designed under outdated seismic codes have exhibited critical vulnerabilities. To enhance their seismic performance, this study examines a novel retrofit solution: the bidirectional rotational friction damper (BRFD). This passive energy...