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research-article

Improvement of Probabilistic Fracture Mechanics Analysis Code PASCAL-SP with regard to PWSCC

[+] Author and Article Information
Akihiro Mano

Japan Atomic Energy Agency, 2-4 Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan
mano.akihiro@jaea.go.jp

Yoshihito Yamaguchi

Japan Atomic Energy Agency, 2-4 Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan
yamaguchi.yoshihito@jaea.go.jp

Jinya Katsuyama

Japan Atomic Energy Agency, 2-4 Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan
katsuyama.jinya@jaea.go.jp

Yinsheng Li

Japan Atomic Energy Agency, 2-4 Shirakata, Tokai-mura, Naka-gun, Ibaraki 319-1195, Japan
li.yinsheng@jaea.go.jp

1Corresponding author.

ASME doi:10.1115/1.4042115 History: Received October 29, 2017; Revised November 19, 2018

Abstract

Probabilistic fracture mechanics (PFM) analysis is expected to be a rational method for structural integrity assessment because it can consider the uncertainties of various influence factors and evaluate the quantitative values such as failure probability of a cracked component as the solution. In the Japan Atomic Energy Agency, a PFM analysis code PASCAL-SP has been developed for structural integrity assessment of piping welds in nuclear power plants. In the past few decades, a number of cracks due to primary water stress corrosion cracking (PWSCC) have been detected in nickel-based alloy welds in the primary piping of pressurized water reactors (PWRs). Thus, structural integrity assessments considering PWSCC have become important. In this study, we improved PASCAL-SP considering PWSCC by introducing several analytical functions such as the models for evaluation of crack initiation time, crack growth rate, and probability of crack detection. By using the improved version of PASCAL-SP, we numerically evaluated the failure probabilities of pipes with a circumferential crack or an axial crack due to PWSCC. Moreover, we evaluated the influence of leak detection and non-destructive examination on failure probabilities. Based on the obtained numerical results, we concluded that the improved version of PASCAL-SP is useful for evaluating the failure probability of a pipe considering PWSCC.

Copyright (c) 2018 by ASME
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