Multi-parameter nuclear data adjustment for sodium fast reactor

This paper studies the application of nuclear data adjustment method in the physics calculation of sodium cooled fast reactor. Based on Bayesian theory, the multi-parameter nuclear data adjustment method is derived, and then the experimental screening rules are given. The verification based on 47 candidate experiments, including the critical measurement experiments, control rod worth measurement experiments and sodium void reactivity measurement experiments of ZPPR-9, ZPPR-10A, ZPPR-10B and ZPPR-10C zero-power experimental facilities, is then carried out. The numerical results show that the adjustment based only on k(eff) has obvious limitations, it can only reduce the calculation uncertainty of k(eff), but the uncertainties of other physical parameters cannot be improved effectively. However, the multi-parameter nuclear data adjustment method effectively reduces the calculation uncertainties and errors of different physical parameters besides k(eff). In the meantime, the screening rules for experimental data are analyzed to avoid the improper adjustment of nuclear data.

Automated summary

This paper focuses on the application of the nuclear data adjustment method in the physics calculation of sodium cooled fast reactors. The study derives a multi-parameter nuclear data adjustment method based on Bayesian theory, and provides experimental screening rules. Verification is conducted using 47 candidate experiments from zero-power experimental facilities. The results show that adjusting based only on k(eff) has limitations, while the multi-parameter method effectively reduces uncertainties and errors for various physical parameters.