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Research Papers

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 319-1195, Ibaraki, Japan
e-mail: mano.akihiro@jaea.go.jp

Yoshihito Yamaguchi

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

Jinya Katsuyama

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

Yinsheng Li

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

Manuscript received October 29, 2017; final manuscript received November 19, 2018; published online May 3, 2019. Editor: Igor Pioro.

ASME J of Nuclear Rad Sci 5(3), 031501 (May 03, 2019) (8 pages) Paper No: NERS-17-1220; doi: 10.1115/1.4042115 History: Received October 29, 2017; Revised November 19, 2018

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 (NPP). 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, PASCAL-SP was improved considering PWSCC by introducing several analytical functions such as the models for evaluation of crack initiation time, crack growth rate (CGR), and probability of crack detection. By using the improved version of PASCAL-SP, the failure probabilities of pipes with a circumferential crack or an axial crack due to PWSCC were numerically evaluated. Moreover, the influence of leak detection and nondestructive examination (NDE) on failure probabilities was detected. Based on the obtained numerical results, it was concluded that the improved version of PASCAL-SP is useful for evaluating the failure probability of a pipe considering PWSCC.

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Figures

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Fig. 1

Evaluation flowchart of PASCAL-SP

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Fig. 2

Simplified nozzle geometry for evaluation

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Fig. 3

Semi-elliptical cracks considered in PASCAL-SP

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Fig. 4

Weld residual stress in longitudinal direction in dissimilar metal welds

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Fig. 5

Weld residual stress in circumferential direction in dissimilar metal welds

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Fig. 6

Failure probabilities based on circumferential and axial cracks

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Fig. 7

Rupture probabilities based on circumferential crack without considering leak detection

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Fig. 8

Failure probabilities based on circumferential crack considering NDEs

Tables

Errata

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