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U.S. Department of Energy
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Impacts of data covariances on the calculated breeding ratio for CRBRP

Conference ·
OSTI ID:5867850
In order to establish confidence on the data adjustment methodology as applied to LMFBR design, and to estimate the importance of data correlations in that respect, an investigation was initiated on the impacts of data covariances on the calculated reactor performance parameters. This paper summarizes the results and findings of such an effort specifically related to the calculation of breeding ratio for CRBRP as an illustration. Thirty-nine integral parameters and their covariances, including k/sub eff/ and various capture and fission reaction rate ratios, from the ZEBRA-8 series and four ZPR physics benchmark assemblies were used in the least-squares fitting processes. Multigroup differential data and the sensitivity coefficients of those 39 integral parameters were generated by standard 2-D diffusion theory neutronic calculational modules at ANL. Three differential data covariance libraries, all based on ENDF/B-V evaluations, were tested in this study.
Research Organization:
Argonne National Lab., IL (USA); Hanford Engineering Development Lab., Richland, WA (USA)
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
5867850
Report Number(s):
CONF-831047-25; ON: DE83014715
Country of Publication:
United States
Language:
English