Core monitoring techniques and experimental validation and demonstration

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Series of workshops

D5.3: A series of workshops, M48 (Chalmers) 3 workshops will be organized during the entire project.

Modelling of the neutron flux response to vibrating fuel assemblies

D1.3: Report on the modelling of the neutron flux response to vibrating fuel assemblies, M40 (UPV) The report will present the results of the different computational options for modelling the effect of vibrating fuel assemblies and the corresponding results of the simulations.

Development of advanced signal processing techniques and evaluation results

D3.3: Development of advanced signal processing techniques and evaluation results, M24 (UJV) Report describing the advanced signal processing techniques and evaluation of the results.

Development of machine learning techniques and evaluation of analysis results

D3.4: Development of machine learning techniques and evaluation of analysis results, M24 (UoL) Report describing the machine learning techniques and the evaluation of the data analysis results.

Results of the sensitivity analyses

D4.5: Report on the results of the sensitivity analyses, M48 (TUM) Report describing the results of the sensitivity analyses within subtask 4.2.4.

Description of scenarios for the simulated data

D3.1: Description of scenarios for the simulated data, M18 (Chalmers) Report describing the scenarios that have been developed and used.

Modelling of FSIs for reactor vessel internals

D1.2: Report on the modelling of FSIs for reactor vessel internals M30 (GRS) The report will present the different computational routes to model FSIs, the results of the simulations, and will summarize cases where bidirectional coupling is required.

Educational package on reactor neutron noise and diagnostics

D5.2: An educational package on neutron reactor noise and diagnostics, M48 (TUD) A set of lecture notes and slides corresponding to the different courses will be assembled in a coherent manner.

Recommendations for modifications, improvements, additional detectors

D4.6: Report containing recommendations for modifications/improvements/additional detectors, M48 (GRS) Report describing the results of the recommendations derived within task 4.3.

Results of the application and demonstration calculations

D4.4: Report on the results of the application and demonstration calculations, M35 (ICCS-NTUA) Report describing the results of the application of the newly developed tools and the demonstration calculations using actual plant data within subtasks 4.2.2 and 4.2.3.

Methodology for uncertainty and sensitivity analysis

D1.1: Report on the methodology for uncertainty and sensitivity analysis, M24 (TUM) The report will present the methodology used for uncertainty and sensitivity analysis, as well as the results of its application to reactor noise calculations.

Report on the development of fibre-based scintillator

D2.3: Report on the development of fibre-based scintillator M42 (EPFL) Report on the development and final design of the new fibre-based scintillators to be installed in CROCUS.

Final validation report

D2.5: Validation report, M48 (Chalmers) Final report on the validation of computational tools produced by WP1 using all the measurements from all detectors types.

Development and comparison of high-order solvers for reactor noise analysis

D1.4: Report on the development and comparison of high-order solvers for reactor noise analysis, M48 (Chalmers) The report will summarize the different modelling options for the estimation of the reactor transfer function, will present comparisons between the results of those, and will draw conclusions on the range of applicability of each option.

Experimental report of the 3rd campaign at AKR-2 and CROCUS

D2.4: Experimental report of the 3rd campaign at AKR-2 and CROCUS, M48 (EPFL) Report describing the experimental setup and measurements of the third experimental campaign at AKR-2 and CROCUS. Report furthermore describing the installation and testing of the fibre-based scintillators in the CROCUS reactor.

Experimental report of the 2nd campaign at AKR-2 and CROCUS

D2.2: Experimental report of the 2nd campaign at AKR-2 and CROCUS, M39 (EPFL) Report describing the experimental setup and measurements of the second experimental campaign at AKR-2 and CROCUS.

Experimental report of the 1st campaign at AKR-2 and CROCUS

D2.1: Experimental report of the 1st campaign at AKR-2 and CROCUS, M15 (EPFL) Report describing the experimental setup and measurements for each perturbation type and facility. The comparison of the acquisition systems of EPFL, TUD and ISTec done within subtask 2.1.1 will be documented.

Website

D5.1: Project website, M3 (LGI) The project website will be launched.

Veröffentlichungen

Analysis and comparison of APOLLO3® and TRIPOLI-4® neutron noise solvers

Autoren: Amélie Rouchon; Malkiel Vadée Le Brun; Andrea Zoia
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989898

A finite element method for neutron noise analysis in hexagonal reactors

Autoren: A. Vidal-Ferrandi Universitat Politecnica de Valencia, (UPV) ; D. Ginestar; A. Carreno; G. Verdu; Christophe Demazière
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989910

Development of a neutron noise simulator for hexagonal geometries

Autoren: Vidal-Ferrandiz A., Carreño A., Ginestar D., and Verdu G
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), 2021
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33654

A discrete ordinates solver with diffusion synthetic acceleration for simulations of 2-D and 2-energy group neutron noise problems

Autoren: Huaiqian, Yi; Vinai, Paolo; Demazière, Christophe
Veröffentlicht in: Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019), 2019
Herausgeber: Mathematics & Computational Methods Applied to Nuclear Science & Engineering (M&C 2019),
DOI: 10.5281/zenodo.3567612

Neutron noise-based anomaly classification and localization using machine learning

Autoren: Christophe Demazière; Mylonakis A; Vinai P.; Durrant A; De Sousa Ribeiro F; Wingate J; Leontidis G; Kolias S
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989867

Modelling and analysis of fuel assembly vibrational modes in PWRs using SIMULATE-3

Autoren: V. Verma; D. Chionis; A. Dokhane; H. Ferroukhi
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989904

Experimental determination of the zero power transfer function of the AKR-2

Autoren: Sebastian Hubner Technische Universität Dresden (TU Dresden) ; Alexander Knospe; Marco Viebach; Carsten Lange; Antonio Hurtado
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989871

Putting Together Wavelet-based Scaleograms and Convolutional Neural Networks for Anomaly Detection in Nuclear Reactors

Autoren: Thanos Tagaris, George Ioannou, Maria Sdraka, Georgios Alexandridis, Andreas Stafylopatis
Veröffentlicht in: Proceedings of the 2019 3rd International Conference on Advances in Artificial Intelligence, 2019, Seite(n) 237-243, ISBN 9781450372534
Herausgeber: ACM
DOI: 10.1145/3369114.3369121

Monte Carlo-based dynamic calculations of stationary perturbations

Autoren: Demazière C; Tatidis A; Vinai
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989852

Using active learning in hybrid learning environments

Autoren: Christophe Demazière
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989924

CORE SIM+ simulations of COLIBRI fuel rods oscillation experiments and comparison with measurements

Autoren: Antonios G. Mylonakis; Christophe Demazière; Vinai P.; Vincent Lamirand; A. Rais; O. Pakari; P. Frajtag; D. Godat; M. Hursin; G. Perret; A. Laureau; C. Florian; A. Pautz
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989887

Understanding the neutron noise induced by fuel assembly vibrations in linear theory

Autoren: Demazière C., Rouchon A., and Zoia A.
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), 2021, ISBN 9780894487699
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33619

The COLIBRI experimental program in the CROCUS reactor: characterization of the fuel rods oscillator

Autoren: Vincent Lamirand (EPFL); Paul Scherrer Institut (PSI); Pavel Frajtag; Daniel Godat; Oskari Pakari; Adolfo Rais; Mathieu Hursin; Grégory Hursin; Carlo Fiorina; Andreas Pautz
Veröffentlicht in: 2020
Herausgeber: EPJ Web Conf
DOI: 10.5281/zenodo.3667453

A Deep Learning Approach to Anomaly Detection in Nuclear Reactors

Autoren: Francesco Caliva; Fabio De Sousa Ribeiro; Antonios Mylonakis; Christophe Demazière; Georgios Leontidis; Stefanos Kollias
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: 2018 International Joint Conference on Neural Networks (IJCNN)
DOI: 10.5281/zenodo.1410083

Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis

Autoren: Ribeiro, Fabio De Sousa; Caliva, Francesco; Chionis, Dionysios; Dokhane, Abdelhamid; Mylonakis, Antonios; Demaziere, Christophe; Leontidis, Georgios; Kollias, Stefanos
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: IEEE Symposium Series on Computational Intelligence (SSCI 2018)
DOI: 10.5281/zenodo.2480264

Neutron noise simulation for development and testing

Autoren: Christophe Demaziere
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578830

UJV activity in the NPP noise diagnostics

Autoren: Petr Stulik
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX Workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578828

Deep learning: 3D convolutional and recurrent neural networks in reactor perturbations unfolding and anomaly detection

Autoren: Georgios Leontidis
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578845

Reconstruction of ex- and in-core neutron signals

Autoren: Jindrich Macek
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578835

Overview of the CORTEX project

Autoren: Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stafanos; Herb, Joachim
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: Reactor Physics paving the way towards more efficient systems (PHYSOR 2018)
DOI: 10.5281/zenodo.1244165

Noise-Based Core Monitoring And Diagnostics – Overview of the Cortex Project

Autoren: Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stefanos; Herb, Joachim
Veröffentlicht in: Ausgabe 1, 2017
Herausgeber: Swedish Nuclear Society
DOI: 10.5281/zenodo.1230346

The combination of state-of-the-art signal processing and the computational intelligence paradigm for the efficient, accurate, and robust processing of nuclear reactor data

Autoren: Tatiana Tambouratzis
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578841

Signal processing methodologies for nuclear reactor data

Autoren: Georgios Alexandridis
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578837

Comparative study of neutron noise calculations using the neutron kinetics code PARCS and the neutron noise simulator CORE SIM

Autoren: Olmo-Juan, N.; Demazière, C.; Barrachina, T.; Miró, R.; Verdú, G.
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: Reactor Physics paving the way towards more efficient systems (PHYSOR2018)
DOI: 10.5281/zenodo.1243982

Noise analysis in NPP diagnostic data processing

Autoren: Petr Stulik
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: CORTEX workshop in Advanced signal processing methods and learning methodologies applied to the monitoring of NPP reactor conditions
DOI: 10.5281/zenodo.2578832

Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM

Autoren: Nicolás Olmo-Juan; Teresa Barrachina; Rafael Miró; Gumersindo Verdú; Christophe Demazière
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: 44th Annual Meeting of the Spanish Nuclear Society
DOI: 10.5281/zenodo.2480913

Analysis of simulated signals from neutron detectors in PWR reactors when mechanical and themohydraulic perturbations are applied.

Autoren: Luis Alejandro Torres Delgado; Cristina Montalvo; Agustín García-Berrocal; Dionysios Chionis; Abdelhamid Dokhane
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: 44th Annual Meeting of the Spanish Nuclear Society,
DOI: 10.5281/zenodo.2535517

Preliminary study of fuel assembly vibrations in a nuclear reactor

Autoren: A. Vidal-Ferraandiz; D. Ginestar; A. Carreno; G. Verdu
Veröffentlicht in: Ausgabe 1, 2018
Herausgeber: Mathematical Modelling Conference Series at the Institute for Multidisciplinary Mathematics
DOI: 10.5281/zenodo.2480773

State of the art machine learning methodologies

Autoren: Georgios Leontidis
Veröffentlicht in: Ausgabe 1, 2019
Herausgeber: "CORTEX workshop in ""Advanced Signal Processing Methods And Learning Methodologies Applied To The Monitoring Of NPP Reactor Conditions"
DOI: 10.5281/zenodo.2578843

Deep learning-based anomaly detection in nuclear reactor cores

Autoren: Tasakos T., Ioannou G., Verma V., Alexandridis G., Dokhane A., and Stafylopatis A
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), 2021
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33681

Feature extraction and identification techniques for the alignment of perturbation simulations with power plant measurements

Autoren: Ioannou G., Tasakos T., Mylonakis A., Alexandridis G., Demazière C., Vinai P., and Stafylopatis A.
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), 2021
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33674

Detection and localisation of multiple in-core perturbations with neutron noise-based self-supervised domain adaptation

Autoren: Durrant A., Leontidis G., Kollias S., Torres L.A., Montalvo C., Mylonakis A., Demazière C., and Vinai P.
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 2021
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33650

Comparison of neutron noise solvers based on numerical benchmarks in a 2-D simplified UOX fuel assembly

Autoren: Vinai P., Yi H., Mylonakis A., Demazière C., Gasse B., Rouchon A., Zoia A., Vidàl-Ferràndiz A., Ginestar D., Verdú G., and Yamamoto T.
Veröffentlicht in: Proc. Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021), 2021
Herausgeber: American Nuclear Society
DOI: 10.13182/m&c21-33625

USING ACTIVE LEARNING IN HYBRID LEARNING ENVIRONMENTS

Autoren: Christophe Demazière
Veröffentlicht in: Conference on Teaching and Learning / Konferens om Undervisning och Lärande (KUL2020), 2020
Herausgeber: Conference on Teaching and Learning / Konferens om Undervisning och Lärande (KUL2020)
DOI: 10.5281/zenodo.3606048

Acceleration of a 3-dimensional, 2-energy group neutron noise solver based on a discrete ordinates method in the frequency domain

Autoren: Huaiqian Yi; Paolo Vinai; Christophe Demazière
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989914

Analysis of the first COLIBRI fuel rods oscillation campaign in the CROCUS reactor for the European project CORTEX

Autoren: Vincent Lamirand; A. Rais; O. Pakari; M. Hursin; A. Laureau; J. Pohlus; U. Paquee; C. Pohl; S. Hübner; C. Lange; P. Frajtag; D. Godat; G. Perret; C. Fiorina; A. Pautz
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989875

Towards a solver based on a discrete ordinate method for reactor neutron noise simulations in the frequency domain

Autoren: Yi H., Vinai P., and Demazière C
Veröffentlicht in: 26th International Conference on Transport Theory (ICTT-26), 2019
Herausgeber: 26th International Conference on Transport Theory (ICTT-26)
DOI: 10.5281/zenodo.3574516

Neutron noise spectral features of simulated mechanical and thermal-hydraulic perturbations in a PWR core

Autoren: L.A Torres; D. Chionis; C. Montalvo; A. Dokhane; A. García-Berrocal
Veröffentlicht in: Proceedings of the PHYSOR 2020, 2020
Herausgeber: Proceedings of the PHYSOR 2020
DOI: 10.5281/zenodo.3989902

PARCS vs CORE SIM neutron noise simulations

Autoren: N. Olmo-Juan, C. Demazière, T. Barrachina, R. Miró, G. Verdú
Veröffentlicht in: Progress in Nuclear Energy, Ausgabe 115, 2019, Seite(n) 169-180, ISSN 0149-1970
Herausgeber: Elsevier BV
DOI: 10.1016/j.pnucene.2019.03.041

Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation

Autoren: Tatiana Tambouratzis, John Giannatsis, Andreas Kyriazis, Panayiotis Siotropos
Veröffentlicht in: International Journal of Energy Optimization and Engineering, Ausgabe 9 10.4018/IJEOE.2020 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEOE.2020/1, 2020, Seite(n) 27-109, ISSN 2160-9500
Herausgeber: International Journal of Energy Optimization and Engineering
DOI: 10.4018/ijeoe.2020010102

Neutron noise experiments in the AKR-2 and CROCUS reactors for the European project CORTEX

Autoren: Vincent Lamirand, Adolfo Rais, Sebastian Hübner, Carsten Lange, Joachim Pohlus, Uwe Paquee, Christoph Pohl, Oskari Pakari, Pavel Frajtag, Daniel Godat, Mathieu Hursin, Axel Laureau, Grégory Perret, Carlo Fiorina, Andreas Pautz
Veröffentlicht in: EPJ Web of Conferences, Ausgabe 225, 2020, Seite(n) 04023, ISSN 2100-014X
Herausgeber: EPJ Web Conf.: 225.
DOI: 10.1051/epjconf/202022504023

Advanced numerical simulation and modelling for reactor safety − contributions from the CORTEX, HPMC, McSAFE and NURESAFE projects

Autoren: Christophe Demazière, Victor Hugo Sanchez-Espinoza, Bruno Chanaron
Veröffentlicht in: EPJ Nuclear Sciences & Technologies, Ausgabe 6, 2020, Seite(n) 42, ISSN 2491-9292
Herausgeber: EDP open
DOI: 10.1051/epjn/2019006

Studies of reactor noise response to vibrations of reactor internals and thermal-hydraulic fluctuations in PWRs

Autoren: V. Verma; D. Chionis; A. Dokhane; H. Ferroukhi
Veröffentlicht in: Annals of Nuclear Energy, 2021, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2021.108212

Operational modal analysis for characterization of mechanical and thermal–hydraulic fluctuations in simulated neutron noise

Autoren: L.A Torres; V. Verma; C. Montalvo; A. Dokhane; A. Garcia-Berrocal
Veröffentlicht in: Nuclear Engineering and Design, 2021, ISSN 0029-5493
Herausgeber: Elsevier BV
DOI: 10.1016/j.nucengdes.2020.111017

Problem Decomposition and Information Minimization for the Global, Concurrent, on-line Validation of Neutron Noise Signals and Neutron Detector Operation

Autoren: Tatiana Tambouratzis
Veröffentlicht in: International Journal of Artificial Intelligence and Applications, 2020, ISSN 0976-2191
Herausgeber: International Journal of Artificial Intelligence and Applications
DOI: 10.5121/ijaia.2020.11601

Neutronic simulation of fuel assembly vibrations in a nuclear reactor

Autoren: A. Vidal-Ferrandiz; A. Carreno,; D. Ginestar; C.Demazière; G.Verdu
Veröffentlicht in: Nuclear Science and Engineering, 2020, ISSN 0029-5639
Herausgeber: American Nuclear Society
DOI: 10.5281/zenodo.4147413

A Study on the Minimum Requirements for the On-Line, Efficient and Robust Validation of Neutron Detector Operation and Monitoring of Neutron Noise Signals using Harmony Theory Networks

Autoren: Tatiana Tambouratzis; Laurent Pantera; Petr Stulik
Veröffentlicht in: Computer Science & Information Technology, 2020, ISSN 2231-5403
Herausgeber: Computer Science & Information Technology (CS & IT)
DOI: 10.5121/csit.2020.101113

A time and frequency domain analysis of the effect of vibrating fuel assemblies on the neutron noise

Autoren: A. Vidal-Ferràndiz, A. Carreño, D. Ginestar, C. Demazière, G. Verdú
Veröffentlicht in: Annals of Nuclear Energy, Ausgabe 137, 2020, Seite(n) 107076, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2019.107076

Numerical solution of two-energy-group neutron noise diffusion problems with fine spatial meshes

Autoren: Antonios G. Mylonakis, Paolo Vinai, Christophe Demazière
Veröffentlicht in: Annals of Nuclear Energy, Ausgabe 140, 2020, Seite(n) 107093, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2019.107093

3D convolutional and recurrent neural networks for reactor perturbation unfolding and anomaly detection

Autoren: Aiden Durrant, Georgios Leontidis, Stefanos Kollias
Veröffentlicht in: EPJ Nuclear Sciences & Technologies, Ausgabe 5, 2019, Seite(n) 20, ISSN 2491-9292
Herausgeber: EPJ Nuclear Sciences & Technologies
DOI: 10.1051/epjn/2019047

Neutron noise analysis of simulated mechanical and thermal-hydraulic perturbations in a PWR core

Autoren: L.A. Torres, D. Chionis, Cristina Montalvo, A. Dokhane, A. García-Berrocal
Veröffentlicht in: Annals of Nuclear Energy, Ausgabe 126, 2019, Seite(n) 242-252, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2018.11.032

On the simulation of neutron noise using a discrete ordinates method

Autoren: Huaiquian Yi; Paolo Vinai; Christophe Demazière
Veröffentlicht in: Annals of Nuclear Energy, 2021, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2021.108570

A MOC-based neutron kinetics model for noise analysis

Autoren: A. Gammicchia, S. Santandrea, I. Zmijarevic, R. Sanchez, Z. Stankovski, S. Dulla, P. Mosca
Veröffentlicht in: Annals of Nuclear Energy, Ausgabe 137, 2020, Seite(n) 107070, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2019.107070

CORE SIM+: A flexible diffusion-based solver for neutron noise simulations

Autoren: Antonios Mylonakis; Paolo Vinai; Christophe Demazière
Veröffentlicht in: Annals of nuclear energy, 2021, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2021.108149

Analysis of the neutron noise induced by fuel assembly vibrations

Autoren: Andrea Zoia; Amélie Rouchon; Baptiste Gasse; Christophe Demazière; Paolo Vinai
Veröffentlicht in: Annals of Nuclear Energy, 2021, ISSN 0306-4549
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.anucene.2020.108061

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