A Revised Formulation of the Irradiation Assisted Stress Corrosion Crack Growth Rates for Neutron-Irradiated Stainless Steels for a Boiling Water Reactor

Abstract Irradiation assisted stress corrosion cracking (IASCC) growth rate equations based on the Hashimoto-Koshiishi model, a mechanistic model that is in turn based on the slip oxidation mechanism, have been proposed and studied. This study optimized the crack growth rate (CGR) equation by revising the strain rate equation at the crack tip according to the irradiation dose. The Gao-Hwang equation was used for the crack tip strain rate when strain hardening occurred, and the Rice-Drugan-Sham (RDS) equation was used when strain hardening was small. It was confirmed that the proposed equation could predict experimental data of L-grade stainless steels more accurately than the previously developed CGR equation. In addition, a comparison was made between the CGRs with some model calculations. Among the three models, the proposed equation was the best and the PLEDGE (Plant Life Extension Diagnosis by GE) model was second in accuracy. The Eason and Pathania model adopted by the ASME (American Society of Mechanical Engineers) was third. It was thought that one of the reasons why the calculation results using the Eason and Pathania model were less in agreement with the experimental data was that the K dependence of the CGR was treated as constant regardless of the irradiation fluence.

Authors

Institutions

Publication Details

Published
2025-07-20
DOI
https://doi.org/10.1115/pvp2025-155484
Primary Topic
Fusion materials and technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Revised Formulation of the Irradiation Assisted Stress Corrosion Crack Growth Rates for Neutron-Irradiated Stainless Steels for a Boiling Water Reactor

Masato Koshiishi, Tomonori Abe
Fusion materials and technologies
article

A Revised Formulation of the Irradiation Assisted Stress Corrosion Crack Growth Rates for Neutron-Irradiated Stainless Steels for a Boiling Water Reactor

Masato Koshiishi, Tomonori Abe
article en

Abstract

Abstract Irradiation assisted stress corrosion cracking (IASCC) growth rate equations based on the Hashimoto-Koshiishi model, a mechanistic model that is in turn based on the slip oxidation mechanism, have been proposed and studied. This study optimized the crack growth rate (CGR) equation by revising the strain rate equation at the crack tip according to the irradiation dose. The Gao-Hwang equation was used for the crack tip strain rate when strain hardening occurred, and the Rice-Drugan-Sham (RDS) equation was used when strain hardening was small. It was confirmed that the proposed equation could predict experimental data of L-grade stainless steels more accurately than the previously developed CGR equation. In addition, a comparison was made between the CGRs with some model calculations. Among the three models, the proposed equation was the best and the PLEDGE (Plant Life Extension Diagnosis by GE) model was second in accuracy. The Eason and Pathania model adopted by the ASME (American Society of Mechanical Engineers) was third. It was thought that one of the reasons why the calculation results using the Eason and Pathania model were less in agreement with the experimental data was that the K dependence of the CGR was treated as constant regardless of the irradiation fluence.

Toshiba (Japan) (JP), Nippon Steel (Japan) (JP), Nippon Steel Chemical and Material (Japan) (JP)
Openalex Percentile: Top 78%
Fusion materials and technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.