PACI, SANDRO Statistiche
PACI, SANDRO
DIPARTIMENTO DI INGEGNERIA CIVILE E INDUSTRIALE
Hybrid neural network and statistical forecasting methodology for predictive monitoring and residual useful life estimation in nuclear power plant components
2025-01-01 Cancemi, S. A.; Angelucci, M.; Chierici, A.; Paci, S.; Lo Frano, R.
Inverse uncertainty Quantification in the Severe accident Domain: Application to Fission Product release
2025-01-01 Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E.
Major Achievements of the EC MUSA Project
2025-01-01 Herranz, L. E.; Beck, S.; Sánchez-Espinoza, V. H.; Mascari, F.; Brumm, S.; Coindreau, O.; Paci, S.
Seaknot: Looking ahead of severe accident research
2025-01-01 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
2025-01-01 Angelucci, Michela; Cancemi, Salvatore A.; LO FRANO, Rosa; Paci, Sandro
UaSA Application in Severe Accident Analysis: Challenges & Path Forward
2025-01-01 Herranz, L. E.; Gabrielli, F.; Tiborcz, L.; Mascari, F.; Groudev, P.; Pavel, G.; Paci, S.
Adaptation of the PIRT methodology to the Severe Accident domain
2024-01-01 Herranz, L. E.; Bentaib, A.; Kljenak, I.; Paci, S.; Piluso, P.
Application of Inverse Uncertainty Quantification in the Severe Accident Domain: Fission Product Release Modelling
2024-01-01 Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E.
APPLICATION OF SENSITIVITY ANALYSIS TECHNIQUES TO A LOW DIMENTIONAL PROBLEM IN THE FRAME OF SEVERE ACCIDENTS
2024-01-01 Angelucci, M.; Paci, S.; Cancemi, S. A.; Lo Frano, R.
CROSS-COMPARISON OF DIFFERENT TECHNIQUES FOR SENSITIVITY ANALYSIS IN SEVERE ACCIDENTS: APPLICATION TO A SBO IN A PWR
2024-01-01 Angelucci, M.; Herranz, L. E.; Paci, S.
ERMSAR 2024 - Book of the Abstracts
2024-01-01 Gabrielli, Fabrizio; Herranz, Luis E.; Paci, Sandro
ERMSAR 2024 conference “European Review Meeting on Severe Accident Research”
2024-01-01 Herranz, Luis E.; Gabrielli, Fabrizio; Paci, Sandro
ERMSAR 2024 Status
2024-01-01 Gabrielli, F.; Herranz, L. E.; Paci, S.; Bentaib, A.
Main outcomes of the Phebus FPT1 uncertainty and sensitivity analysis in the EU-MUSA project
2024-01-01 Mascari, F.; Bersano, A.; Massone, M.; Agnello, G.; Coindreau, O.; Beck, S.; Tiborcz, L.; Paci, S.; Angelucci, M.; Herranz, L. E.; Bocanegra, R.; Pontillon, Y.; Berdai, M.; Cherednichenko, O.; Iskra, A.; Nudi, M.; Groudev, P.; Petrova, P.; Kretzschmar, F.; Gabrielli, F.; Kanglong, Z.; Vileiniškis, V.; Kaliatka, T.; Kalilainen, J.; Malicki, M.; Gumenyuk, D.; Vorobyov, Y.; Kotsuba, O.; Dejardin, P.; Di Giuli, M.; Thomas, R.; Ivanov, I. V.; Giannetti, F.; D'Onorio, M.; Caruso, G.; Salay, M.; Sevon, T.
MUSA Insights into Uncertainty Quantification in Severe Accident Analyses
2024-01-01 Herranz, L. E.; Beck, S.; Sánchez-Espinoza, V. H.; Mascari, F.; Brumm, S.; Coindreau, O.; Paci, S.
NEURAL NETWORK-DRIVEN METHODOLOGY FOR PREDICTIVE HEALTH MONITORING AND AGING MANAGEMENT IN NUCLEAR POWER PLANT OPERATIONS
2024-01-01 Cancemi, S. A.; Angelucci, M.; Lo Frano, R.; Paci, S.
On the behavior of a concrete-based dry cask for spent nuclear fuel in off-normal and accidental conditions
2024-01-01 Angelucci, Michela; Herranz, Luis E.; Paci, Sandro
Proceedings of the ERMSAR 2024 Conference
2024-01-01 Gabrielli, F.; Herranz, L. E.; Paci, S.
SEAKNOT: LOOKING AHEAD OF SEVERE ACCIDENT RESEARCH
2024-01-01 Herranz, L. E.; Gupta, S.; Paci, S.; Piluso, P.
Severe Accident Research within NUGENIA/TA2
2024-01-01 Herranz, L. E.; Bentaib, A.; Gabrielli, F.; Gupta, S.; Kljenak, I.; Paci, S.; Piluso, P.; Rocchi, F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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 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. | |
| 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. | |
| Adaptation of the PIRT methodology to the Severe Accident domain | 1-gen-2024 | Herranz, L. E.; Bentaib, A.; Kljenak, I.; Paci, S.; Piluso, P. | |
| Application of Inverse Uncertainty Quantification in the Severe Accident Domain: Fission Product Release Modelling | 1-gen-2024 | Tinfena, G.; Angelucci, M.; Sargentini, L.; Paci, S.; Herranz, L. E. | |
| APPLICATION OF SENSITIVITY ANALYSIS TECHNIQUES TO A LOW DIMENTIONAL PROBLEM IN THE FRAME OF SEVERE ACCIDENTS | 1-gen-2024 | Angelucci, M.; Paci, S.; Cancemi, S. A.; Lo Frano, R. | |
| CROSS-COMPARISON OF DIFFERENT TECHNIQUES FOR SENSITIVITY ANALYSIS IN SEVERE ACCIDENTS: APPLICATION TO A SBO IN A PWR | 1-gen-2024 | Angelucci, M.; Herranz, L. E.; Paci, S. | |
| ERMSAR 2024 - Book of the Abstracts | 1-gen-2024 | Gabrielli, Fabrizio; Herranz, Luis E.; Paci, Sandro | |
| ERMSAR 2024 conference “European Review Meeting on Severe Accident Research” | 1-gen-2024 | Herranz, Luis E.; Gabrielli, Fabrizio; Paci, Sandro | |
| ERMSAR 2024 Status | 1-gen-2024 | Gabrielli, F.; Herranz, L. E.; Paci, S.; Bentaib, A. | |
| Main outcomes of the Phebus FPT1 uncertainty and sensitivity analysis in the EU-MUSA project | 1-gen-2024 | Mascari, F.; Bersano, A.; Massone, M.; Agnello, G.; Coindreau, O.; Beck, S.; Tiborcz, L.; Paci, S.; Angelucci, M.; Herranz, L. E.; Bocanegra, R.; Pontillon, Y.; Berdai, M.; Cherednichenko, O.; Iskra, A.; Nudi, M.; Groudev, P.; Petrova, P.; Kretzschmar, F.; Gabrielli, F.; Kanglong, Z.; Vileiniškis, V.; Kaliatka, T.; Kalilainen, J.; Malicki, M.; Gumenyuk, D.; Vorobyov, Y.; Kotsuba, O.; Dejardin, P.; Di Giuli, M.; Thomas, R.; Ivanov, I. V.; Giannetti, F.; D'Onorio, M.; Caruso, G.; Salay, M.; Sevon, T. | |
| MUSA Insights into Uncertainty Quantification in Severe Accident Analyses | 1-gen-2024 | Herranz, L. E.; Beck, S.; Sánchez-Espinoza, V. H.; Mascari, F.; Brumm, S.; Coindreau, O.; Paci, S. | |
| NEURAL NETWORK-DRIVEN METHODOLOGY FOR PREDICTIVE HEALTH MONITORING AND AGING MANAGEMENT IN NUCLEAR POWER PLANT OPERATIONS | 1-gen-2024 | Cancemi, S. A.; Angelucci, M.; Lo Frano, R.; Paci, S. | |
| On the behavior of a concrete-based dry cask for spent nuclear fuel in off-normal and accidental conditions | 1-gen-2024 | Angelucci, Michela; Herranz, Luis E.; Paci, Sandro | |
| Proceedings of the ERMSAR 2024 Conference | 1-gen-2024 | Gabrielli, F.; Herranz, L. E.; Paci, S. | |
| SEAKNOT: LOOKING AHEAD OF SEVERE ACCIDENT RESEARCH | 1-gen-2024 | Herranz, L. E.; Gupta, S.; Paci, S.; Piluso, P. | |
| Severe Accident Research within NUGENIA/TA2 | 1-gen-2024 | Herranz, L. E.; Bentaib, A.; Gabrielli, F.; Gupta, S.; Kljenak, I.; Paci, S.; Piluso, P.; Rocchi, F. |