Uncertainty and correlation analysis of lead nuclear data on reactor parameters for the European Lead Cooled Training Reactor
The Total Monte Carlo (TMC) method was used in this study to assess the impact of 204,206,207,208Pb nuclear data uncertainties on reactor safety parameters for the ELECTRA reactor. Relatively large uncertainties were observed in the and the coolant void worth (CVW) for all isotopes except for 204Pb...
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Veröffentlicht in: | Annals of nuclear energy 2015-01, Vol.75, p.26-37 |
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Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The Total Monte Carlo (TMC) method was used in this study to assess the impact of 204,206,207,208Pb nuclear data uncertainties on reactor safety parameters for the ELECTRA reactor. Relatively large uncertainties were observed in the and the coolant void worth (CVW) for all isotopes except for 204Pb with significant contribution coming from 208Pb nuclear data; the dominant effect came from uncertainties in the resonance parameters; however, elastic scattering cross section and the angular distributions also had significant impact. It was also observed that the distribution for 206,207,208Pb deviates from a Gaussian distribution with tails in the high region. An uncertainty of 0.9% on the and 3.3% for the CVW due to lead nuclear data were obtained. As part of the work, cross section-reactor parameter correlations were also studied using a Monte Carlo sensitivity method. Strong correlations were observed between the and (n,el) cross section for all the lead isotopes. The correlation between the (n,inl) and the was also found to be significant. |
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ISSN: | 0306-4549 1873-2100 |
DOI: | 10.1016/j.anucene.2014.07.043 |