The development of radiation embrittlement models for U.S. power reactor pressure vessel steels

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The information fusion technique is used to develop radiation embrittlement prediction models for reactor pressure vessel (RPV) steels from U.S. power reactors, including boiling water reactors and pressurized water reactors. The Charpy transition temperature-shift data is used as the primary index of RPV radiation embrittlement in this study. Six parameters-Cu, Ni, P, neutron fluence, irradiation time, and irradiation temperature-are used in the embrittlement prediction models. The results indicate that this new embrittlement predictor achieved reductions of about 49.5% and 52% in the uncertainties for plate and weld data, respectively, for pressurized water reactor and boiling water reactor data, compared with the Nuclear Regulatory Commission Regulatory Guide 1.99, Rev. 2. The implications of dose-rate effect and irradiation temperature effects for the development of radiation embrittlement models are also discussed.

Original languageEnglish
Title of host publicationProceedings of 2006 ASME Pressure Vessels and Piping Division Conference - ASME PVP2006/ICPVT-11 Conference - Pressure Vessel Technologies for the Global Community
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Print)0791837823, 9780791837825
DOIs
StatePublished - 2006
EventASME PVP2006/ICPVT-11 Conference - Vancouver, BC, Canada
Duration: Jul 23 2006Jul 27 2006

Publication series

NameAmerican Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP
Volume2006
ISSN (Print)0277-027X

Conference

ConferenceASME PVP2006/ICPVT-11 Conference
Country/TerritoryCanada
CityVancouver, BC
Period07/23/0607/27/06

Funding

This research is sponsored by the Laboratory Directed Research and Development Seed Money Program and the Radiation Safety Information Computational Center of Oak Ridge National Laboratory, and by the Materials Science and Engineering Division, Office of Basic Energy Sciences, of the US Department of Energy, under contract DE-AC05-00OR22725 with UT-Battelle, LLC.

Keywords

  • Embrittlement prediction models
  • Information fusion
  • Power reactor
  • Radiation embrittlement

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