Neutron importance estimation via new recursive Monte Carlo method for deep penetration neutron transport

Tuya, D.; Nagaya, Yasunobu

Nuclear Science and Engineering, 15 Pages, 2023/00

https://doi.org/10.1080/00295639.2023.2233850

In Monte Carlo neutron transport calculations for local response or deep penetration problems, some estimation of an importance function is generally required in order to improve their efficiency. In this work, a new recursive Monte Carlo (RMC) method, which is partly based on the original RMC method, for estimating an importance function for local variance reduction (i.e., source-detector type) problems has been developed. The new RMC method has been applied to two sample problems of varying degrees of neutron penetrations, namely a one-dimensional iron slab problem and a three-dimensional concrete-air problem. The biased Monte Carlo calculations with variance reduction parameters based on the obtained importance functions by the new RMC method have been performed to estimate detector responses in these problems. The obtained results are in agreement with those by the reference unbiased Monte Carlo calculations. Furthermore, the biased calculations offered an increase in efficiency on the order of 1 to 10 in terms of the figure of merit (FOM). The results also indicated that the efficiency increased as the neutron penetration became deeper.

Development of integrated containment and surveillance system for fast critical facility FCA; Portal and penetration monitors

Mukaiyama, Takehiko; Ogawa, Hironobu; *

JAERI-Research 98-001, 76 Pages, 1998/01

JAERI-Research-98-001.pdf:2.97MB

no abstracts in English

Structural design of cryostat and port penetration of International Thermonuclear Experimental Reactor(ITER)

*; *; Shimizu, Katsusuke*; *; Okawa, Yoshinao; Shibanuma, Kiyoshi; Tada, Eisuke

JAERI-M 92-094, 102 Pages, 1992/07

JAERI-M-92-094.pdf:2.3MB

no abstracts in English