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

The goal of the simulation strategies is to model complex multi-physics and multi-scale phenomena specific to nuclear reactors. The use of machine learning combined with such advanced simulation tools is also demonstrated to be capable of providing useful information for the detection of anomalies during operation. | Advanced numerical simulation and modelling for reactor safety contributions from the CORTEX HPMC McSAFE and NURESAFE projects EPJ Nuclear Sci. Technol. 6 42 2020 Nuclear Sciences C. Demazière et al. published by EDP Sciences 2020 amp Technologies https epjn 2019006 Available online at https REVIEW ARTICLE Advanced numerical simulation and modelling for reactor safety contributions from the CORTEX HPMC McSAFE and NURESAFE projects Christophe Demazière1 Victor Hugo Sanchez-Espinoza2 and Bruno Chanaron3 1 Department of Physic Division of Subatomic and Plasma Physics Chalmers University of Technology 412 96 Gothenburg Sweden 2 Institute for Neutron Physics and Reactor Technology INR Karlsruhe Institute of Technology KIT Hermann-vom-Helmholtz-Platz-1 76344 Eggenstein-Leopoldshafen Germany 3 Commissariat à l Energie Atomique et aux Energies Alternatives Centre de Saclay 91191 Gif-sur-Yvette Cedex France Received 12 March 2019 Accepted 4 June 2019 Abstract. Predictive modelling capabilities have long represented one of the pillars of reactor safety. In this paper an account of some projects funded by the European Commission within the seventh Framework Program HPMC and NURESAFE projects and Horizon 2020 Program CORTEX and McSAFE is given. Such projects aim at among others developing improved solution strategies for the modelling of neutronics thermal-hydraulics and or thermo-mechanics during normal operation reactor transients and or situations involving stationary perturbations. Although the different projects have different focus areas they all capitalize on the most recent advancements in deterministic and probabilistic neutron transport as well as in DNS LES CFD and macroscopic thermal-hydraulics modelling. The goal of the simulation strategies is to model complex multi-physics and multi-scale phenomena specific to nuclear reactors. The use of machine learning combined with such advanced simulation tools is also demonstrated to be .