In‐Service Inspection Optimization for Pressurized Water Reactor Primary Piping Weld Based on Probabilistic Fracture Mechanics

ABSTRACT Nuclear‐grade pipelines are essential for nuclear safety, and their failure can lead to severe accidents. Traditional deterministic methods tend to be overly conservative, overlook uncertainties in key factors, and struggle to accurately assess reliability under complex conditions. This paper aims to present a probabilistic fracture mechanics methodology to evaluate the reliability of circumferential cracks in primary piping welds under transient loads. A dedicated software tool, developed based on this method, calculates rupture and leakage probabilities by incorporating parameter uncertainties alongside deterministic fracture models. Furthermore, the influence of various in‐service inspection schedules on weld reliability is examined through case studies. The results indicate that excessively long inspection intervals result in actual failure probabilities at 60 years that exceed the safety goal of 10 −6 failures per year. In accordance with current ASME Code, Section XI, the first inspection should occur by the 10th year, while subsequent intervals may be optimized to every 20 years. Sensitivity analyses reveal that the initial crack depth and crack half‐angle have the greatest impact on probabilities, followed by the tensile strength, the safety factor, the yield strength, and the probability of detection model.

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Publication Details

Journal
Fatigue & Fracture of Engineering Materials & Structures
Published
2025-12-25
DOI
https://doi.org/10.1111/ffe.70159
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

In‐Service Inspection Optimization for Pressurized Water Reactor Primary Piping Weld Based on Probabilistic Fracture Mechanics

Changli Liu, JianPing Tan, Zhenshun Liu, Xiang Yuan Zheng et al.
Fatigue & Fracture of Engineering Materials & Structures
Structural Integrity and Reliability Analysis
article

In‐Service Inspection Optimization for Pressurized Water Reactor Primary Piping Weld Based on Probabilistic Fracture Mechanics

Changli Liu, JianPing Tan, Zhenshun Liu, Xiang Yuan Zheng, Xinghua Li, Xin Zeng
article en

Abstract

ABSTRACT Nuclear‐grade pipelines are essential for nuclear safety, and their failure can lead to severe accidents. Traditional deterministic methods tend to be overly conservative, overlook uncertainties in key factors, and struggle to accurately assess reliability under complex conditions. This paper aims to present a probabilistic fracture mechanics methodology to evaluate the reliability of circumferential cracks in primary piping welds under transient loads. A dedicated software tool, developed based on this method, calculates rupture and leakage probabilities by incorporating parameter uncertainties alongside deterministic fracture models. Furthermore, the influence of various in‐service inspection schedules on weld reliability is examined through case studies. The results indicate that excessively long inspection intervals result in actual failure probabilities at 60 years that exceed the safety goal of 10 −6 failures per year. In accordance with current ASME Code, Section XI, the first inspection should occur by the 10th year, while subsequent intervals may be optimized to every 20 years. Sensitivity analyses reveal that the initial crack depth and crack half‐angle have the greatest impact on probabilities, followed by the tensile strength, the safety factor, the yield strength, and the probability of detection model.

Fatigue & Fracture of Engineering Materials & StructuresVol. 49(3)
East China University of Science and Technology (CN), University Town of Shenzhen (CN), China General Nuclear Power Corporation (China) (CN), Tsinghua–Berkeley Shenzhen Institute (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 44%
Structural Integrity and Reliability Analysis
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In‐Service Inspection Optimization for Pressurized Water Reactor Primary Piping Weld Based on Probabilistic Fracture Mechanics — Changli Liu, JianPing Tan, et al. · Fatigue & Fracture of Engineering Materials & Structures (2025) | TGRS Research Map | TGRS