2021
DOI: 10.1016/j.anucene.2021.108562
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Implementation and performance study of the lp-CMFD acceleration scheme for Monte Carlo method based k-eigenvalue neutron transport calculation in 1D geometry

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Cited by 1 publication
(2 citation statements)
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“…This instability is corrected with the implementation of linear prolongation flux update, as the lp-CMFD scheme consistently able to converge properly and yield the expected acceleration. It is however noted that the acceleration obtained in 1D MC transport calculations as reported by Chan and Xiao (2021) was much greater in terms of percentage decrease in inactive cycles required. It is clear that the linear prolongation schemes outperform the regular coarse mesh flux update in all cases investigated in this work.…”
Section: Results and Analysismentioning
confidence: 83%
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“…This instability is corrected with the implementation of linear prolongation flux update, as the lp-CMFD scheme consistently able to converge properly and yield the expected acceleration. It is however noted that the acceleration obtained in 1D MC transport calculations as reported by Chan and Xiao (2021) was much greater in terms of percentage decrease in inactive cycles required. It is clear that the linear prolongation schemes outperform the regular coarse mesh flux update in all cases investigated in this work.…”
Section: Results and Analysismentioning
confidence: 83%
“…The lp-CMFD scheme has been employed in deterministic transport problems with various spatial discretisation schemes, which demonstrated improved acceleration and stability (Chan and Xiao, 2019a;Chan and Xiao, 2019b;Chan and Xiao, 2019c;Chan and Xiao, 2020a;Chan and Xiao, 2020b). Following the results in deterministic calculations, lp-CMFD and lp-pCMFD schemes has also been employed in 1D slab MC transport calculations (Chan and Xiao, 2021), as well as in a 2D homogenous slab (Abdullatif and Wang, 2022;Than and Xiao, 2022), where its effectiveness relative to regular CMFD is once again demonstrated. Among the CMFD variants investigated in the aforementioned works, the most efficient scheme can vary depending on factors such as the total cross section values.…”
Section: Introductionmentioning
confidence: 99%