Published October 2019 | Version v1
Journal article

Time-dependent reliability analysis of overpacks for high-level radioactive waste

  • 1. Université Clermont Auvergne, CNRS, SIGMA Clermont, Institut Pascal, F-63000 Clermont-Ferrand (France)
  • 2. Andra, 1 Rue Jean Monnet, 92290 Châtenay-Malabry (France)

Description

Highlights: • This work deals with the contemporary issue of radioactive waste storage. • The study is focused on the steel overpack in which the waste is sealed. • The evolution of the system in repository conditions is subjected to uncertainties. • The failure event investigated is the propagation of an initial surface crack. • The sensitivity of the model response to the input parameters is investigated. - Abstract: In France, nuclear energy is extensively used for electricity production, and consequently high-level radioactive waste are generated by the fleet of nuclear powerplants. This waste is planned to be disposed of in a deep geological repository. Engineers have only a limited feedback from similar disposal facilities, as this project is innovative. This lack of knowledge and the timescales involved induce uncertainties about the disposal environment and about the conditions of operation. Reliability analysis is used here as it provides a suitable framework to deal with such uncertainties. This paper focuses on the overpack, which isolates the waste from the environment during the early stage of disposal (at least 500 years). The failure probability is investigated through a crack propagation criterion using a Monte Carlo analysis performed on two levels. The approach is based on a dedicated stochastic structural model including the corrosion rate, the mechanical loading and initial crack conditions. The robustness of this approach is evaluated through sensitivity analysis, and by considering multiple distributions for the variables elicited from expert's opinion.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2019.110156

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2019.110156;
PII
S0029549319301670;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
352
Journal Page Range
p. 110156
ISSN
0029-5493
CODEN
NEDEAU

Optional Information

Notes
© 2019 Published by Elsevier B.V.