Multiscale modelling in nuclear ferritic steels: From nano-sized defects to embrittlement

Research output: Contribution to journalArticlepeer-review

Authors

Institutes & Expert groups

  • HZDR - Helmholtz,Zentrum Dresden, Rossendorf
  • EDF – R&D - MMC
  • INSA Rouen - Normandie Université
  • CCFE - Culham Centre for Fusion Energy
  • University of Oxford
  • CEA Saclay - Commissariat à l'énergie atomique
  • KTH - Royal Institute of Technology
  • CNEA - National atomic energy commission
  • CONICET - Consejo Nacional de Investigaciones
  • CNRS - Centre national de la recherche scientifique
  • CIEMAT - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas

Documents & links

Abstract

Radiation-induced embrittlement of nuclear steels is one of the main limiting factors for safe long-term operation of nuclear power plants. In support of accurate and safe reactor pressure vessel (RPV) lifetime assessments, we developed a physics-based model that predicts RPV steel hardening and subsequent embrittlement as a consequence of the formation of nano-sized clusters of minor alloying elements. This model is shown to provide reliable assessments of embrittlement for a very wide range of materials, with higher accuracy than industrial correlations. The core of our model is a multiscale modelling tool that predicts the kinetics of solute clustering, given the steel chemical composition and its irradiation conditions. It is based on the observation that the formation of solute clusters ensues from atomic transport driven by radiation-induced mechanisms, differently from classical nucleation-and-growth theories. We then show that the predicted information about solute clustering can be translated into a reliable estimate for radiation-induced embrittlement, via standard hardening laws based on the dispersed barrier model. We demonstrate the validity of our approach by applying it to hundreds of nuclear reactors vessels from all over the world.

Details

Original languageEnglish
Article number100802
Pages (from-to)1-12
Number of pages12
JournalMaterials Today Physics
Volume27
DOIs
Publication statusPublished - 2 Aug 2022

Keywords

  • Radiation effects, Kinetic Monte Carlo, Modelling, Multiscale modeling

ID: 7866246