Rosario Ceravolo

11 papers C 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Benchmark Dataset for the Validation of Phase-Based Motion Magnification-Based Experimental Modal Analysis.
Data
Pierpaolo Dragonetti, Marco Civera, Gaetano Miraglia, Rosario Ceravolo
2024 J jnl
A domain adaptation methodology for enhancing the classification of structural condition states in continuously monitored historical domes.
Comput. Aided Civ. Infrastructure Eng.
Valeria Cavanni, Rosario Ceravolo, Gaetano Miraglia
2023 J jnl
Integrated 3D Mapping and Diagnosis for the Structural Assessment of Architectural Heritage: Morano's Parabolic Arch.
Sensors
Rosario Ceravolo, Stefano Invernizzi, Erica Lenticchia, Irene Matteini, Giacomo Patrucco, Antonia Spanò
2021 J jnl
A multi-objective genetic algorithm strategy for robust optimal sensor placement.
Comput. Aided Civ. Infrastructure Eng.
Marco Civera, Marica Leonarda Pecorelli, Rosario Ceravolo, Cecilia Surace, Luca Zanotti Fragonara
2020 J jnl
Thermoelastic finite element model updating with application to monumental buildings.
Comput. Aided Civ. Infrastructure Eng.
Rosario Ceravolo, Giulia De Lucia, Gaetano Miraglia, Marica Leonarda Pecorelli
2016 J jnl
A Computational Methodology for Assessing the Time-Dependent Structural Performance of Electric Road Infrastructures.
Comput. Aided Civ. Infrastructure Eng.
Rosario Ceravolo, Gaetano Miraglia, Cecilia Surace, Luca Zanotti Fragonara
2015 J jnl
Global Sensitivity-Based Model Updating for Heritage Structures.
Comput. Aided Civ. Infrastructure Eng.
Giosuè Boscato, Salvatore Russo, Rosario Ceravolo, Luca Zanotti Fragonara
2014 J jnl
Identification, Model Updating, and Validation of a Steel Twin Deck Curved Cable-Stayed Footbridge.
Comput. Aided Civ. Infrastructure Eng.
Oreste S. Bursi, Anil Kumar, Giuseppe Abbiati, Rosario Ceravolo
2009 J jnl
Symptom-based reliability and generalized repairing cost in monitored bridges.
Reliab. Eng. Syst. Saf.
Rosario Ceravolo, Miriam Pescatore, Alessandro De Stefano
2002 J jnl
Seismic vulnerability assessment of chemical plants through probabilistic neural networks.
Reliab. Eng. Syst. Saf.
T. Aoki, Rosario Ceravolo, Alessandro De Stefano, Claudio Genovese, D. Sabia
2001 C conf
Output only dynamic identification in time-frequency domain.
ACC
Alessandro De Stefano, Rosario Ceravolo, D. Sabia