Since 18 of December 2019 conferences.iaea.org uses Nucleus credentials. Visit our help pages for information on how to Register and Sign-in using Nucleus.

Fuel Melting Margin Assessment of Fast Reactor Oxide Fuel Pins using a Statistical Approach

26 Jun 2017, 15:50
20m
Room 5 (Yekaterinburg)

Room 5

Yekaterinburg

ORAL Track 5. Fast Reactor Materials (Fuels and Structures) and Technology 5.2 Advanced Fast Reactor Fuel Development II

Speaker

Dr Victor BLANC (CEA)

Description

In the framework of the Basic Design of the Advanced Sodium Technological Reactor for Industrial Demonstration (ASTRID) project, the design margins have to be defined with accuracy. The design criterion considered here is the fuel melting margin during nominal operation conditions, which is given by the melting probability. Oxide fuel temperature and melting temperature being calculated with the CEA fuel performance code, GERMINAL, results could be depend on parameters from manufacturing processes, irradiation conditions and fuel behavior laws. The aim of this paper is to take into account uncertainties associated to these parameters in the melting margin evaluation and to quantify the sensitivity to these parameters. In a first approach, GERMINAL calculations of the temperature distribution given by analytic method is compared with direct Monte-Carlo sampling and with a reliability dedicated method by using the CEA uncertainty and sensitivity simulation platform, URANIE. First sensitivity analysis shows that linear heat rate, fuel stoichiometry and fuel clad gap are the first order parameters. Afterwards, in a detailed approach, pellet geometrical defects in fuel pellets are taken into account using a 3D finite element model based on CEA LICOS code. The maximum temperature being considerably dependent of these defects, a simple meta-model is built, and is linked with GERMINAL in order to build an artificial neural network. Using this global meta-model, first and second order reliability methods are finally compared with a large number of direct Monte-Carlo simulations in order to determine the fuel melting probability.

Country/Int. Organization

French Alternative Energies and Atomic Energy Commission, DEN/CAD/DEC/SESC/LC2I

Primary author

Co-authors

Dr Antoine Bouloré (CEA) Mr Edouard Thebaud (CEA) Dr François Charollais (CEA) Dr Jean-Christophe Dumas (CEA) Mr Marc LAINET (French Alternative Energies and Atomic Energy Commission (CEA)) Dr Michel Pelletier (CEA) Mr Thierry BECK (CEA) Dr Thierry Lambert (CEA) Mr Vincent Dupont (CEA) Dr bruno michel (CEA/DEN/DEC/SESC/LSC)

Presentation materials