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Curve fitting and uncertainty analysis of Charpy impact data. [PWR; BWR]

Technical Report ·
OSTI ID:5488333
A method for the statistical evaluation of Charpy impact data is described. A multi-variate linear least squares fit is used in which both dependent and independent variables may be subject to statistical variations. The input data are restricted to the transition region for the determination of RT/sub NDT/ and to the upper-shelf region for the determination of the upper-shelf energy. Fluence, irradiation temperature, chemical composition, and other parameters may be included in the fit in order to process simultaneously large data sets and to estimate the dependence of ..delta..RT/sub NDT/ and shift of upper-shelf energy on the parameters. Data from HSST experiments at ORNL are used to demonstrate the application of this method.
Research Organization:
Oak Ridge National Lab., TN (USA); Tennessee Univ., Knoxville (USA). Dept. of Mathematics
DOE Contract Number:
W-7405-ENG-26
OSTI ID:
5488333
Report Number(s):
NUREG/CR-2408; ORNL/TM-8081; ON: DE82005787
Country of Publication:
United States
Language:
English