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An empirical method for inverse uncertainty quantification in nuclear thermal–hydraulic codes
2025 Bersano, A.; Di Maio, F.; Zio, E.; Pedroni, N.; Mascari, F.
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.
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
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
Advanced Monte Carlo Methods and Applications
2017 Pedroni, Nicola; Zio, Enrico; Cadini, Francesco
Comparing network-centric and power flow models for the optimal allocation of link capacities in a cascade-resilient power transmission network
2017 Fang, Yi-ping; Pedroni, Nicola; Zio, Enrico
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| An empirical method for inverse uncertainty quantification in nuclear thermal–hydraulic codes / Bersano, A., Di Maio, F., Zio, E., Pedroni, N., Mascari, F.. - In: NUCLEAR ENGINEERING AND DESIGN. - ISSN 0029-5493. - ELETTRONICO. - 445:(2025). [10.1016/j.nucengdes.2025.114483] | 1-gen-2025 | Di Maio F.Zio E.Pedroni N. + | NED_2025_empirical method for IUQ in nuclear thermal hydraulic codes_JournalFinal_Small.pdf; BEPU24_NED_R1_v4.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, V., Bonifetto, R., Di Maio, F., Pedroni, N., Zanino, R., Zio, E.. - 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 |
| 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, P., Cammi, A., Lorenzi, S., Pedroni, N., Zio, E.. - 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 + | - |
| Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment / Wang, Z., Pedroni, N., Zentner, I., Zio, E.. - 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, N., Zio, E., Pasanisi, A., Couplet, M.. - In: RISK ANALYSIS. - ISSN 0272-4332. - 37:7(2017), pp. 1315-1340. [10.1111/risa.12705] | 1-gen-2017 | Pedroni, NicolaZio, Enrico + | - |
| Advanced Monte Carlo Methods and Applications / Pedroni, N., Zio, E., Cadini, F.. - In: ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS. PART A, CIVIL ENGINEERING.. - ISSN 2376-7642. - 3:4(2017), p. 02017001. [10.1061/AJRUA6.0000921] | 1-gen-2017 | Pedroni, NicolaZio, Enrico + | - |
| Comparing network-centric and power flow models for the optimal allocation of link capacities in a cascade-resilient power transmission network / Fang, Y., Pedroni, N., Zio, E.. - In: IEEE SYSTEMS JOURNAL. - ISSN 1932-8184. - 11:3(2017), pp. 1632-1643. [10.1109/JSYST.2014.2352152] | 1-gen-2017 | Pedroni, NicolaZio, Enrico + | - |