PEDRONI, NICOLA

PEDRONI, NICOLA  

Dipartimento Energia  

044224  

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Risultati 1 - 20 di 105 (tempo di esecuzione: 0.033 secondi).
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A non-intrusive reduced order model for the characterisation of the spatial power distribution in large thermal reactors / Abrate, Nicolo'; Dulla, Sandra; Pedroni, Nicola. - In: ANNALS OF NUCLEAR ENERGY. - ISSN 0306-4549. - ELETTRONICO. - 184:(2023), p. 109674. [10.1016/j.anucene.2022.109674] 1-gen-2023 Nicolo AbrateSandra DullaNicola Pedroni 1-s2.0-S0306454922007046-main(1).pdfA_non_intrusive_reduced_order_model_for_the_spatial_stability_analysis_of_large_thermal_reactors(1)_compressed.pdf
A novel approach combining bootstrapped non-intrusive reduced order models and unscented transform for the robust and efficient CFD analysis of accidental gas releases in congested plants / Abrate, Nicolo'; Pedroni, Nicola; Moscatello, Alberto; Carpignano, Andrea; Carbone, Federica; Maffia, Manuela; Ledda, Gianmario. - In: JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES. - ISSN 1873-3352. - 83:(2023), pp. 1-17. [10.1016/j.jlp.2023.105015] 1-gen-2023 Abrate NicoloNicola PedroniAlberto MoscatelloAndrea CarpignanoGianmario Ledda + ROM_SB_JLOSS_review_1.pdf1-s2.0-S0950423023000451-main.pdf
Nuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design / Abrate, Nicolo'; Aimetta, Alex; Dulla, Sandra; Pedroni, Nicola. - In: NUCLEAR SCIENCE AND ENGINEERING. - ISSN 0029-5639. - ELETTRONICO. - (2023), pp. 1-23. [10.1080/00295639.2023.2190861] 1-gen-2023 Nicolo’ AbrateAlex AimettaSandra DullaNicola Pedroni UQ_MSFR.pdfNuclear Data Uncertainty Propagation for the Molten Salt Fast Reactor Design(1).pdf
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
Robust Ensemble of Computational Techniques for the Detection of Outliers in the Inverse Uncertainty Quantification with Limited Data / Pedroni, Nicola. - ELETTRONICO. - (2023), pp. 19647-19647. (Intervento presentato al convegno UNCECOMP 2023 5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering tenutosi a Athens, Greece nel 12-14 June 2023). 1-gen-2023 Pedroni, Nicola -
Stacked Sparse Autoencoders and Classical Artificial Neural Networks for the Inverse Uncertainty Quantification of Dynamic Engineering Systems Models / Pedroni, Nicola. - ELETTRONICO. - (2023), pp. 1-8. (Intervento presentato al convegno 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14) tenutosi a Dublino nel 9-13 July 2023). 1-gen-2023 Pedroni, Nicola -
Computational methods for the robust optimization of the design of a dynamic aerospace system in the presence of aleatory and epistemic uncertainties / Pedroni, N.. - In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - ISSN 0888-3270. - ELETTRONICO. - 164:(2022), p. 108206. [10.1016/j.ymssp.2021.108206] 1-gen-2022 Pedroni N. Pedroni_NASA_Challenge_Optimization_MSSP_2022.pdfR1_Pedroni_NASA_Uncertainty_Optimization_CLEAN.pdf
Identification of the Postulated Initiating Events of Accidents of a CPS-Based Liquid Metal Divertor for the EU DEMO Fusion Reactor / Uggenti, A. C.; Nallo, G. F.; Carpignano, A.; Pedroni, N.; Zanino, R.. - In: FUSION SCIENCE AND TECHNOLOGY. - ISSN 1536-1055. - ELETTRONICO. - (2022), pp. 1-13. [10.1080/15361055.2021.1984720] 1-gen-2022 Uggenti, A. C.Nallo, G. F.Carpignano, A.Pedroni, N.Zanino, R. Uggenti_2022_LMD_safety_editorial.pdfLMD_safety_paper_v8_postReview.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.pdfR1_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.pdfR1_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.pdfPaper_PRESSURE_OUTPUT_10_AB_CB_FDM_NP_EZ_R1_v2.pdf
A non-intrusive reduced order model for neutronic transient analyses of the ALFRED reactor / Abrate, Nicolo'; Dulla, Sandra; Pedroni, Nicola; Ravetto, Piero. - ELETTRONICO. - (2021), pp. 489-498. (Intervento presentato al convegno Mathematics & Computation (M&C) 2021 tenutosi a Virtual Meeting). 1-gen-2021 Nicolo AbrateSandra DullaNicola PedroniPiero Ravetto proc_v_n_pp489-498.pdfM_C_2021.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.pdfR1_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.pdf20200608_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
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.pdfRev 3- JRR - 20_3_2020.pdf
A non-intrusive reduced order model for light water reactor core stability analysis / Abrate, N.; Dulla, S.; Pedroni, N.. - ELETTRONICO. - (2020), pp. 4946-4952. (Intervento presentato al convegno 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 tenutosi a Venice (Italy) nel 2020). 1-gen-2020 Abrate N.Dulla S.Pedroni N. 4448.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
Computational methods for system optimization under uncertainty / Pedroni, N.. - ELETTRONICO. - (2020), pp. 1119-1126. (Intervento presentato al convegno 30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM 2020 tenutosi a Venice (Italy) nel 2020). 1-gen-2020 Pedroni N. 5536.pdf