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PACI, SANDRO Statistiche

PACI, SANDRO  

DIPARTIMENTO DI INGEGNERIA CIVILE E INDUSTRIALE  

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Risultati 1 - 20 di 449 (tempo di esecuzione: 0.034 secondi).
Titolo Data di pubblicazione Autore(i) File
Assessing the Capabilities of MELCOR V2.2 against the QUENCH-19 Bundle Test with FeCrAl Cladding 1-gen-2026 Rosi, F.; Cazado, M. E.; Angelucci, M.; Paci, S.; Gabrielli, F.; Sánchez-Espinoza, V. H.
ASSESSMENT OF POOL SCRUBBING PREDICTIVE CAPABILITIES: BENCHMARKING SPARC90 AGAINST AN AD-HOC DATABASE 1-gen-2026 Tinfena, Giacomo; Angelucci, Michela; Paci, Sandro; Herranz, Luis
EFFECT OF CORIUM PROPERTIES’ UNCERTAINTIES ON A PWR SBO SEVERE ACCIDENT 1-gen-2026 Herranz, L. E.; Mellace, B.; Angelucci, M.; Paci, S.
Impact of FeCrAl Cladding Material on the Progression of a Severe Accident in a Generic BWR Mark-I NPP: analysis of a SBO Scenario with the ASTEC Code 1-gen-2026 Murat, Onur; Gazzola, Eddy; Exequiel Cazado, Mauricio; Angelucci, Michela; Paci, Sandro; Gabrielli, Fabrizio; Hugo Sánchez-Espinoza, Victor
INTEGRATED SEVERE ACCIDENT ANALYSIS FOR A VVER-1000: ACCIDENT PROGRESSION, UNCERTAINTY QUANTIFICATION, AND RADIOLOGICAL CONSEQUENCES 1-gen-2026 Angelucci, M.; Marzullo, L.; Stakhanova, A.; Murat, O.; Gabrielli, F.; Paci, S.
Sensitivity analysis in severe accident simulations:A historical perspective 1-gen-2026 Angelucci, Michela; Cancemi, Salvatore A.; Paci, Sandro; Herranz, Luis E.
Techniques for Sensitivity Analysis in Severe Accidents: A Comparative Study 1-gen-2026 Angelucci, Michela; Herranz, Luis E.; Paci, Sandro
Advancing Pool Scrubbing Simulations: from Traditional to AI Methods 1-gen-2025 Tinfena, G.; Angelucci, M.; Paci, S.; Herranz, L. E.
Corium Properties & Accident Scenarios: Preliminary Insights 1-gen-2025 Mellace, B.; Angelucci, M.; Paci, S.; Herranz, L. E.
EFFECT OF CORIUM PROPERTIES’ UNCERTAINTIES ON A PWR SBO SEVERE ACCIDENT 1-gen-2025 Mellace, B.; Angelucci, M.; Paci, S.; Herranz, L. E.
Fission Product Release Modeling in MELCOR: an Extension of the Validation 1-gen-2025 Tinfena, G.; Angelucci, M.; Paci, S.; Herranz, L. E.
Hybrid neural network and statistical forecasting methodology for predictive monitoring and residual useful life estimation in nuclear power plant components 1-gen-2025 Cancemi, S. A.; Angelucci, M.; Chierici, A.; Paci, S.; Lo Frano, R.
Inverse Uncertainty Quantification for Severe Accident Analyses 1-gen-2025 Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E.
Inverse uncertainty Quantification in the Severe accident Domain: Application to Fission Product release 1-gen-2025 Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E.
Major Achievements of the EC MUSA Project 1-gen-2025 Herranz, L. E.; Beck, S.; Sánchez-Espinoza, V. H.; Mascari, F.; Brumm, S.; Coindreau, O.; Paci, S.
Phenomena Identification and Ranking Table for Containment Phenomena during Severe Accidents in Light Water Reactors 1-gen-2025 Kljenak, Ivo; Angelucci, Michela; Paci, Sandro; Bentaib, Ahmed; Fernández-Cosials, Kevin; Jimenez, Gonzalo; Queral, Cesar; Di Giuli, Mirco; Yu, Shizhen; Herranz, Luis; Kelm, Stephan; Studer, Etienne
Seaknot: Looking ahead of severe accident research 1-gen-2025 Herranz, L. E.; Gupta, S.; Paci, S.; Piluso, P.
The Effect of Backfill Gas Pressure on the Thermal Response of a Dry Cask for Spent Nuclear Fuel 1-gen-2025 Angelucci, Michela; Cancemi, Salvatore A.; LO FRANO, Rosa; Paci, Sandro
UaSA Application in Severe Accident Analysis: Challenges & Path Forward 1-gen-2025 Herranz, L. E.; Gabrielli, F.; Tiborcz, L.; Mascari, F.; Groudev, P.; Pavel, G.; Paci, S.
UaSA Application in Severe Accident Analysis: Challenges and Path Forward 1-gen-2025 Herranz, Luis; Gabrielli, Fabrizio; Tiborcz, Livia; Mascari, Fulvio; Groudev, Pavlin; Pavel, Gabriel; Paci, Sandro