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 language | English |
|---|---|
| Title of host publication | Proceedings of 2006 ASME Pressure Vessels and Piping Division Conference - ASME PVP2006/ICPVT-11 Conference - Pressure Vessel Technologies for the Global Community |
| Publisher | American Society of Mechanical Engineers (ASME) |
| ISBN (Print) | 0791837823, 9780791837825 |
| DOIs | |
| State | Published - 2006 |
| Event | ASME PVP2006/ICPVT-11 Conference - Vancouver, BC, Canada Duration: Jul 23 2006 → Jul 27 2006 |
Publication series
| Name | American Society of Mechanical Engineers, Pressure Vessels and Piping Division (Publication) PVP |
|---|---|
| Volume | 2006 |
| ISSN (Print) | 0277-027X |
Conference
| Conference | ASME PVP2006/ICPVT-11 Conference |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 07/23/06 → 07/27/06 |
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