Depletion benchmarks calculation of random media using explicit modeling approach of RMC

作者：Liu, Shichang^*; She, Ding; Liang, Jin-gang; Wang, Kan

来源：Annals of Nuclear Energy, 2016, 87(P2): 167-175.

DOI：10.1016/j.anucene.2015.09.003

• Stochastic media
• Dispersed fuel
• RMC
• Explicit modeling
• Depletion benchmark
• Burnup regions combination

Monte Carlo method plays an important role in accurate simulation of random media, owing to its advantages of the flexible geometry modeling and the use of continuous-energy nuclear cross sections. Three stochastic geometry modeling methods including Random Lattice Method, Chord Length Sampling and explicit modeling approach with mesh acceleration technique, have been implemented in RMC to simulate the particle transport in the dispersed fuels, in which the explicit modeling method is regarded as the best choice. In this paper, the explicit modeling method is applied to the depletion benchmark for HTGR fuel element, and the method of combination of adjacent burnup regions has been proposed and investigated. The results show that the explicit modeling can provide detailed burnup distribution of individual TRISO particles, and this work would serve as a supplement for the HTGR fuel depletion benchmark calculations. The combination of adjacent burnup regions can effectively reduce the memory footprint while keeping the computational accuracy.

• 出版日期2016-1
• 单位清华大学