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Monte Carlo simulation of biological shielding parameters in PGNAA
Yang, JB; Peng, KX; Qiao, YJ; Zhang, C; Li, R; Li, Z; 李哲(核)
Source PublicationMICRO & NANO LETTERS
AbstractA prompt neutron activation analysis (PGNAA) facility based on a Cf-252 spontaneous fission neutron was performed with the final goal of obtaining various optimised radiation protection design parameters. MCNP Monte Carlo code was used to simulate the lead (Pb) shield thickness on two sides of the sample chamber, and B4C, B2O3, LiOH, LiF, and borax were selected as neutron-absorbing materials that were simulated to determine optimal parameters for the optimal design of a biological multilayer composite shield. A series of calculations performed with the MCNP code indicated that the 5 cm thick Pb innermost layer of a biological shield rapidly reduced fast neutrons, and a moderation layer of 25 cm thick paraffin, 20 mm thick borax, and 2 mm thick B4C were selected as neutron-absorbing materials. The calculated biological shield protection parameters satisfied the requirements of the PGNAA facility used in the experiment.
KeywordMonte Carlo methods radiation protection neutron activation analysis spontaneous fission lead boron compounds lithium compounds neutron absorption multilayers composite material interfaces biological effects of gamma-rays Monte Carlo simulation biological shielding parameters PGNAA prompt neutron activation analysis Cf-252 spontaneous fission neutron optimised radiation protection design parameters MCNP Monte Carlo code lead shield thickness sample chamber neutron-absorbing materials biological multilayer composite shield thick Pb innermost layer moderation layer thick paraffin thick borax PGNAA facility size 2 mm to 25 cm Pb B4C B2O3 LiOH LiF
Indexed BySCI ; EI
WOS Research AreaScience & Technology - Other Topics ; Materials Science
WOS SubjectNanoscience & Nanotechnology ; Materials Science, Multidisciplinary
WOS IDWOS:000429200100009
EI Accession Number20181505002311
Citation statistics
Document Type期刊论文
First Author AffilicationInstitute of High Energy
Recommended Citation
GB/T 7714
Yang, JB,Peng, KX,Qiao, YJ,et al. Monte Carlo simulation of biological shielding parameters in PGNAA[J]. MICRO & NANO LETTERS,2018,13(4):457-460.
APA Yang, JB.,Peng, KX.,Qiao, YJ.,Zhang, C.,Li, R.,...&李哲.(2018).Monte Carlo simulation of biological shielding parameters in PGNAA.MICRO & NANO LETTERS,13(4),457-460.
MLA Yang, JB,et al."Monte Carlo simulation of biological shielding parameters in PGNAA".MICRO & NANO LETTERS 13.4(2018):457-460.
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