Volume 1, Issue 9 (October 2004)

    New Methodologies for Developing Radiation Embrittlement Models and Trend Curves of the Charpy Impact Test Data

    (Received 10 June 2002; accepted 16 January 2004)

    Published Online: 2004

    CODEN: JAIOAD

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    Abstract

    A new methodology is developed for the prediction of RPV embrittlement that utilizes a combination of domain models and nonlinear estimators including neural networks and nearest neighbor regressions. The Power Reactor Embrittlement Database is used in this study. The results from newly developed nearest neighbor projective fuser indicate that the combined embrittlement predictor achieved about 67.3% and 52.4% reductions in the uncertainties for General Electric Boiling Water Reactor plate and weld data compared to Regulatory Guide 1.99, Revision 2, respectively. The implications of irradiation temperature effects to the development of radiation embrittlement models are then discussed. A new methodology that incorporates the chemical compositions into the Charpy trend curve is also developed. The purpose of this new fitting procedure is to generate a new multi-space topography that can properly reflect the inhomogeneity of the surveillance materials and utilize this multi-space trend surface to link and project the surveillance test results to that of reactor pressure vessel steels.


    Author Information:

    Wang, JA
    Senior R&D Staff, Oak Ridge National Laboratory, Oak Ridge, TN

    Rao, NSV
    Senior R&D Staff, Oak Ridge National Laboratory, Oak Ridge, TN


    Stock #: JAI11373

    ISSN: 1546-962X

    DOI: 10.1520/JAI11373

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    Author
    Title New Methodologies for Developing Radiation Embrittlement Models and Trend Curves of the Charpy Impact Test Data
    Symposium The Effects of Radiation on Materials: 21st International Symposium, 2002-06-20
    Committee E10