Quantitative prediction of EAC crack growth rate of sensitized type 304 stainless steel in boiling water reactor environments based on EPFEM

Xue He, Tetsuo Shoji

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

The quantitative prediction of environmentally assisted cracking (EAC) or stress corrosion cracking (SCC) is essential in order to predict service life and also the structural integrity and safety assessment of light water reactors. During the last 3 decades many of the research results obtained on the quantitative prediction of the EAC crack growth rate have been based on linear fracture mechanics. In order to investigate EAC behavior in the high strain zone of important structures in light water reactors, the approach taken in this paper is one in which quantitative calculations of the EAC crack growth rate, incorporating the SCC deformation /oxidation model and the elastic-plastic finite element method (EPFEM), are carried o.ut. This approach can be used for the quantitative prediction of EAC crack growth rate in both the low and high strain zones of key structures in light water reactors. The crack growth behavior of sensitized type 304 stainless steel with a IT-CT specimen in simulated boiling water reactor (BWR) environments is analyzed based on this approach. The effect of several environmental, material, and mechanical parameters on the EAC crack growth rate of nickel based alloys in high-temperature aqueous environments is also discussed.

Original languageEnglish
Pages (from-to)460-467
Number of pages8
JournalJournal of Pressure Vessel Technology, Transactions of the ASME
Volume129
Issue number3
DOIs
Publication statusPublished - 2007 Aug
Externally publishedYes

Keywords

  • Boiling water reactor
  • Crack growth rate
  • Crack tip strain rate
  • Environmentally assisted cracking
  • Finite element method
  • Slip/dissolution-oxidation model

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint

Dive into the research topics of 'Quantitative prediction of EAC crack growth rate of sensitized type 304 stainless steel in boiling water reactor environments based on EPFEM'. Together they form a unique fingerprint.

Cite this