During the first 36 months of the project, the technical activities yielded numerous results on schedule.
The creep test device has been designed, fabricated and successfully qualified on an inert material. The next steps are to complete the qualification on fresh UO2 and then to install the test device in a hot cell of the LECA-STAR laboratory of CEA in order to obtain essential results on the creep behaviour irradiated UO2 fuel. The samples that will be tested mechanically were characterized in detail at the grain and dislocation scale. In parallel, atomic scale calculations and Dislocation Dynamic simulations brought significant results on the mobility of dislocations and their interaction with irradiation defects in UO2. A first model to assess mechanical hardening induced by irradiation in fuel has been developed and implemented in a crystal plasticity model. Then, the investigations of rupture processes at the atomic scale have made significant progress.
New mechanical laws for the fuel and the cladding to be implemented in fuel performance codes are available. For Cr-coated cladding, an interpretation of the FIDES/INCA experiments has confirmed the recommendation proposed in the open literature. A new micromechanical modelling, including creep and fracture, has been proposed for fuel at the microstructure scale. The corresponding formulation includes a new law with hardening induced by irradiation in fuel.
High Performance Computing simulation tools for the fuel element behaviour in the reactor at the engineering scale (OFFBEAT/SCIANTIX codes) and at the microstructure scale (MMM code) have been developed after the publication of the quality assurance protocols to be used in the project. The new developments include improvement of the models for fission gas behaviour, large strain mechanical formulation, pellet-cladding contact, cladding oxide layer, RIA transients and fuel micromechanical modelling. The verification process of the current version of the codes is completed and significant results are available for the validation. For the integration of these HPC fuel performance codes in the existing simulation tools framework, new assessments and data transfer methods are available. The industrial models to improve have been selected, as well as the methodology to improve them.
The preparation of the learning databases and the development of corresponding Machine Learning Models has progressed well. Finally, all the input data for the fuel element safety studies are ready, they include new core scale simulation results for VVER and the selection of international benchmark data for PWR. These data will enable fuel behaviour analysis under nominal and designed basis accident conditions for state of the and eATF fuels.