Published May 2018 | Version v1
Journal article

Uncertainty quantification of fracture boundary of pre-hydrided Zircaloy-4 cladding tube under LOCA conditions

  • 1. Nuclear Safety Research Center, Japan Atomic Energy Agency, 2-4 Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195 (Japan)
  • 2. Department of Nuclear Engineering and Management, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656 (Japan)

Description

Highlights: • Fracture boundary uncertainty of pre-hydrided cladding is quantified. • A log-probit model is developed to estimate fracture probability of cladding. • 5% fracture probability with 95% confidence is higher than 15% ECR at 800 wppmH. - Abstract: To quantify the fracture boundary uncertainty for non-irradiated, pre-hydrided Zircaloy-4 cladding tube specimens under loss-of-coolant accident conditions at a light-water reactor, data from integral thermal shock tests obtained by an earlier study are analyzed statistically and the fracture boundary is estimated in terms of probability, as follows. First, a method is proposed to obtain the specimens' fracture probability curve as a function of equivalent cladding reacted (ECR) and initial hydrogen concentration using Bayesian inference with a generalized linear model. A log-probit model is used, modified to reflect the effect of the initial hydrogen concentration on the fracture boundary and the ECR evaluation uncertainty, and scaled to improve convergence. Second, using the modified log-probit model, it is shown that the boundary representing a 5% fracture probability with 95% confidence for the pre-hydrided cladding tube sample is higher than 15% ECR, for initial hydrogen concentrations of up to 800 wppm.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2018.02.037

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2018.02.037;
PII
S0029549318302061;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
331
Journal Page Range
p. 147-152
ISSN
0029-5493
CODEN
NEDEAU

Optional Information

Notes
© 2018 Elsevier B.V. All rights reserved.