Archivio Istituzionale della RicercaZIO, ENRICO
Nuclear Systems Safety Analysis by Artificial Intelligence, Meta-Modeling and Adaptive Simulation
2023 Di Maio, Francesco; Pedroni, Nicola; Zio, Enrico
Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling
2022 Roma, G.; Antonello, F.; Di Maio, F.; Pedroni, N.; Zio, E.; Bersano, A.; Bertani, C.; Mascari, F.
A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems
2021 Roma, G.; Di Maio, F.; Bersano, A.; Pedroni, N.; Bertani, C.; Mascari, F.; Zio, E.
A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System
2021 Puppo, L.; Pedroni, N.; Maio, F. D.; Bersano, A.; Bertani, C.; Zio, E.
Failure identification in a nuclear passive safety system by Monte Carlo simulation with adaptive Kriging
2021 Puppo, L.; Pedroni, N.; Bersano, A.; Di Maio, F.; Bertani, C.; Zio, E.
Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit
2021 Destino, Vincenzo; Bonifetto, Roberto; Di Maio, Francesco; Pedroni, Nicola; Zanino, Roberto; Zio, Enrico
Metamodeling and on-line clustering for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit
2021 Destino, V.; Pedroni, N.; Bonifetto, R.; Di Maio, F.; Savoldi, L.; Zio, E.
Quantification of uncertainty in CFD simulation of accidental gas release for O & G quantitative risk assessment
2021 Pappalardo, F.; Moscatello, A.; Ledda, G.; Uggenti, A. C.; Gerboni, R.; Carpignano, A.; Di Maio, F.; Mereu, R.; Zio, E.
Reliability assessment of passive safety systems for nuclear energy applications: State‐of‐the‐art and open issues
2021 Di Maio, F.; Pedroni, N.; Toth, B.; Burgazzi, L.; Zio, E.
A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models
2020 Bani-Mustafa, T.; Pedroni, N.; Zio, E.; Vasseur, D.; Beaudouin, F.
Advanced methods for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit
2020 Destino, V.; Bonifetto, R.; Pedroni, N.; Savoldi, L.; Di Maio, F.; Zio, E.; Zio, E.
Comparison of CFD numerical approaches for the simulation of accidental gas release in energy applications
2020 Pappalardo, Fabrizio; Moscatello, Alberto; Uggenti, Anna Chiara; Gerboni, Raffaella; Carpignano, Andrea; Di Maio, Francesco; Mereu, Riccardo; Zio, Enrico
Identification of Protective Actions to Reduce the Vulnerability of Safety-Critical Systems to Malevolent Intentional Acts: An Optimization-Based Decision-Making Approach
2020 Wang, T. R.; Pedroni, N.; Zio, E.; Mousseau, V.
Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications
2020 Bellaera, R.; Bonifetto, R.; Di Maio, F.; Pedroni, N.; Savoldi, L.; Zanino, R.; Zio, E.
Adaptive simulation for failure identification in the Advanced Lead Fast Reactor European Demonstrator
2018 Turati, Pietro; Cammi, Antonio; Lorenzi, Stefano; Pedroni, Nicola; Zio, Enrico
Integrated deterministic and probabilistic safety assessment of the cooling circuit of a superconducting magnet for nuclear fusion applications
2018 Bellaera, R.; Bonifetto, R.; Pedroni, N.; Savoldi, L.; Zanino, R.; DI MAIO, Francesco; Zio, E.
Knowledge‐driven System Simulation for Scenario Analysis in Risk Assessment
2018 Turati, Pietro; Pedroni, Nicola; Zio, Enrico
Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment
2018 Wang, Zhiyi; Pedroni, Nicola; Zentner, Irmela; Zio, Enrico
A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment
2017 Pedroni, Nicola; Zio, Enrico; Pasanisi, Alberto; Couplet, Mathieu
A hierarchical tree-based decision making approach for assessing the trustworthiness of risk assessment models
2017 Bani-Mustafa, T.; Pedroni, N.; Zio, E.; Vasseur, D.; Beaudouin, F.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Nuclear Systems Safety Analysis by Artificial Intelligence, Meta-Modeling and Adaptive Simulation / Di Maio, Francesco; Pedroni, Nicola; Zio, Enrico. - ELETTRONICO. - (2023), pp. 1-1. (Intervento presentato al convegno PSAM 2023 Topical Conference on AI and Risk Analysis for Probabilistic Safety/Security Assessment and Management tenutosi a Urbana-Champaign (Illinois, USA) nel October 23-25, 2023). | 1-gen-2023 | Di Maio, FrancescoPedroni, NicolaZio, Enrico | rev_Nuclear Systems Safety Analysis by Artificial Intelligence Meta-Modeling and Adaptive Simulation - v2.pdf |
| Passive safety systems analysis: A novel approach for inverse uncertainty quantification based on Stacked Sparse Autoencoders and Kriging metamodeling / Roma, G.; Antonello, F.; Di Maio, F.; Pedroni, N.; Zio, E.; Bersano, A.; Bertani, C.; Mascari, F.. - In: PROGRESS IN NUCLEAR ENERGY. - ISSN 0149-1970. - ELETTRONICO. - 148:(2022), p. 104209. [10.1016/j.pnucene.2022.104209] | 1-gen-2022 | Di Maio F.Pedroni N.Zio E.Bertani C. + | Progress_Final_Passive safety systems analysis_A novel approach for inverse uncertainty Autoencoders_Kriging.pdf; R1_FDM_EZ_ novel approach for Inverse Uncertainty Quantification based on Stacked Sparse Autoencoders and Kriging_AB_FM.pdf |
| A Bayesian framework of inverse uncertainty quantification with principal component analysis and Kriging for the reliability analysis of passive safety systems / Roma, G.; Di Maio, F.; Bersano, A.; Pedroni, N.; Bertani, C.; Mascari, F.; Zio, E.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 379:(2021), p. 111230. [10.1016/j.nucengdes.2021.111230] | 1-gen-2021 | Bersano A.Pedroni N.Bertani C.Zio E. + | NED_A Bayesian framework of inverse uncertainty quantification with PCA.pdf; R1_Inverse uncertainty quantification.pdf |
| A Framework based on Finite Mixture Models and Adaptive Kriging for Characterizing Non-Smooth and Multimodal Failure Regions in a Nuclear Passive Safety System / Puppo, L.; Pedroni, N.; Maio, F. D.; Bersano, A.; Bertani, C.; Zio, E.. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - ELETTRONICO. - 216:(2021), p. 107963. [10.1016/j.ress.2021.107963] | 1-gen-2021 | Puppo L.Pedroni N.Bersano A.Bertani C.Zio E. + | RESS2021_Finite Mixture Models Adaptive Kriging for NonSmooth Multimodal Failure Regions in a Nuclear Passive System.pdf; Paper_PRESSURE_OUTPUT_10_AB_CB_FDM_NP_EZ_R1_v2.pdf |
| Failure identification in a nuclear passive safety system by Monte Carlo simulation with adaptive Kriging / Puppo, L.; Pedroni, N.; Bersano, A.; Di Maio, F.; Bertani, C.; Zio, E.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 380:(2021), p. 111308. [10.1016/j.nucengdes.2021.111308] | 1-gen-2021 | Puppo L.Pedroni N.Bersano A.Bertani C.Zio E. + | NED_Failure Identification in a Nuclear Passive Safety System by Monte Carlo Simulation with Adaptive Kriging.pdf; R1_Paper_ENERGY_OUTPUT_13.pdf |
| Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit / Destino, Vincenzo; Bonifetto, Roberto; Di Maio, Francesco; Pedroni, Nicola; Zanino, Roberto; Zio, Enrico. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - ELETTRONICO. - 209:(2021), p. 107426. [10.1016/j.ress.2020.107426] | 1-gen-2021 | Destino, VincenzoBonifetto, RobertoPedroni, NicolaZanino, RobertoZio Enrico + | Identification of LOFA precursors in ITER superconducting magnet cryogenic cooling circuit_RESS.pdf; 20200608_LOFA Precursors ITER Cryogenic Circuit - Sub.pdf |
| Metamodeling and on-line clustering for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit / Destino, V.; Pedroni, N.; Bonifetto, R.; Di Maio, F.; Savoldi, L.; Zio, E.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:17(2021), p. 5552. [10.3390/en14175552] | 1-gen-2021 | Destino V.Pedroni N.Bonifetto R.Savoldi L.Zio E. + | energies-14-05552-v2.pdf |
| Quantification of uncertainty in CFD simulation of accidental gas release for O & G quantitative risk assessment / Pappalardo, F.; Moscatello, A.; Ledda, G.; Uggenti, A. C.; Gerboni, R.; Carpignano, A.; Di Maio, F.; Mereu, R.; Zio, E.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:23(2021), p. 8117. [10.3390/en14238117] | 1-gen-2021 | Moscatello A.Ledda G.Uggenti A. C.Gerboni R.Carpignano A.Zio E. + | energies-14-08117.pdf |
| Reliability assessment of passive safety systems for nuclear energy applications: State‐of‐the‐art and open issues / Di Maio, F.; Pedroni, N.; Toth, B.; Burgazzi, L.; Zio, E.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:15(2021), p. 4688. [10.3390/en14154688] | 1-gen-2021 | Pedroni N.Zio E. + | energies-14-04688_Final_Published.pdf |
| A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models / Bani-Mustafa, T.; Pedroni, N.; Zio, E.; Vasseur, D.; Beaudouin, F.. - In: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART O, JOURNAL OF RISK AND RELIABILITY. - ISSN 1748-006X. - STAMPA. - 234:6(2020), pp. 748-763. [10.1177/1748006X20929111] | 1-gen-2020 | Pedroni N.Zio E. + | A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models_Journal.pdf; Rev 3- JRR - 20_3_2020.pdf |
| Advanced methods for loss-of-flow accident precursors identification in a superconducting magnet cryogenic cooling circuit / Destino, V.; Bonifetto, R.; Pedroni, N.; Savoldi, L.; Di Maio, F.; Zio, E.; Zio, E.. - ELETTRONICO. - (2020), pp. 2303-2310. (Intervento presentato al convegno 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 tenutosi a ita nel 2020). | 1-gen-2020 | Destino V.Bonifetto R.Pedroni N.Savoldi L.Zio E. + | 5064.pdf |
| Comparison of CFD numerical approaches for the simulation of accidental gas release in energy applications / Pappalardo, Fabrizio; Moscatello, Alberto; Uggenti, Anna Chiara; Gerboni, Raffaella; Carpignano, Andrea; Di Maio, Francesco; Mereu, Riccardo; Zio, Enrico. - ELETTRONICO. - (2020), pp. 4067-4074. (Intervento presentato al convegno The 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference tenutosi a Venice, Italy nel 1-5 November 2020) [10.3850/978-981-14-8593-0_4751-cd]. | 1-gen-2020 | Moscatello, AlbertoUggenti, Anna ChiaraGerboni, RaffaellaCarpignano, AndreaDi Maio, FrancescoZio, Enrico + | ESREL_2020_Pappalardo_Moscatello.pdf |
| Identification of Protective Actions to Reduce the Vulnerability of Safety-Critical Systems to Malevolent Intentional Acts: An Optimization-Based Decision-Making Approach / Wang, T. R.; Pedroni, N.; Zio, E.; Mousseau, V.. - In: RISK ANALYSIS. - ISSN 0272-4332. - STAMPA. - 40:3(2020), pp. 565-587. [10.1111/risa.13420] | 1-gen-2020 | Pedroni N.Zio E. + | Wang_et_al-2020-Risk_Analysis.pdf; Pedroni_RA_00072_2018_R1.pdf |
| Integrated deterministic and probabilistic safety assessment of a superconducting magnet cryogenic cooling circuit for nuclear fusion applications / Bellaera, R.; Bonifetto, R.; Di Maio, F.; Pedroni, N.; Savoldi, L.; Zanino, R.; Zio, E.. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - STAMPA. - 201:(2020), p. 106945. [10.1016/j.ress.2020.106945] | 1-gen-2020 | Bonifetto R.Di Maio F.Pedroni N.Savoldi L.Zanino R.Zio E. + | J58_2018_RESS_IDPSA_CSM_AuthorPostprint.pdf; J58_2018_RESS_IDPSA_CSM.pdf |
| Adaptive simulation for failure identification in the Advanced Lead Fast Reactor European Demonstrator / Turati, Pietro; Cammi, Antonio; Lorenzi, Stefano; Pedroni, Nicola; Zio, Enrico. - In: PROGRESS IN NUCLEAR ENERGY. - ISSN 0149-1970. - 103:(2018), pp. 176-190. [10.1016/j.pnucene.2017.11.013] | 1-gen-2018 | Pedroni, NicolaZIO, ENRICO + | - |
| Integrated deterministic and probabilistic safety assessment of the cooling circuit of a superconducting magnet for nuclear fusion applications / Bellaera, R.; Bonifetto, R.; Pedroni, N.; Savoldi, L.; Zanino, R.; DI MAIO, Francesco; Zio, E.. - CD-ROM. - (2018), pp. 2161-2168. (Intervento presentato al convegno 28th International European Safety and Reliability Conference, ESREL 2018 tenutosi a Trondheim (Norvegia) nel June 17-21, 2018) [10.1201/9781351174664-271]. | 1-gen-2018 | Bonifetto R.Pedroni N.Savoldi L.Zanino R.DI MAIO, FRANCESCOZio E. + | P16_2018_ESREL_IDPSA_CSM.pdf |
| Knowledge‐driven System Simulation for Scenario Analysis in Risk Assessment / Turati, Pietro; Pedroni, Nicola; Zio, Enrico - In: Knowledge in Risk Assessment and ManagementSTAMPA. - [s.l] : John Wiley & Sons Ltd., 2018. - ISBN 9781119317906. - pp. 165-219 [10.1002/9781119317906.ch8] | 1-gen-2018 | Pedroni, NicolaZio, Enrico + | - |
| Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment / Wang, Zhiyi; Pedroni, Nicola; Zentner, Irmela; Zio, Enrico. - In: ENGINEERING STRUCTURES. - ISSN 0141-0296. - 162:(2018), pp. 213-225. [10.1016/j.engstruct.2018.02.024] | 1-gen-2018 | Pedroni, NicolaZio, Enrico + | - |
| A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment / Pedroni, Nicola; Zio, Enrico; Pasanisi, Alberto; Couplet, Mathieu. - In: RISK ANALYSIS. - ISSN 0272-4332. - 37:7(2017), pp. 1315-1340. [10.1111/risa.12705] | 1-gen-2017 | Pedroni, NicolaZio, Enrico + | - |
| A hierarchical tree-based decision making approach for assessing the trustworthiness of risk assessment models / Bani-Mustafa, T.; Pedroni, N.; Zio, E.; Vasseur, D.; Beaudouin, F.. - CD-ROM. - (2017), pp. 314-323. (Intervento presentato al convegno 2017 International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2017) tenutosi a Pittsburgh, PA, USA nel September 24-28, 2017). | 1-gen-2017 | N. PedroniE. Zio + | - |