Optimized Design of a PGNAA System for Cement Analysis Using Monte Carlo Simulations

Yang, Jian‐Bo; Tuo, Xianguo; Li, Zhenwei; Cheng, Yi; Wang, L.; Wang, H. H.; Cai, Biao; Liu, M. Z.

doi:10.13182/nt13-a22318

Nuclear Technology

2013

DOI: 10.13182/nt13-a22318

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Optimized Design of a PGNAA System for Cement Analysis Using Monte Carlo Simulations

Jian‐Bo Yang

Xianguo Tuo

Zhenwei Li

et al.

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Cited by 7 publications

(1 citation statement)

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“…Naqvi [12] studied the performances of a PGNAA system under different neutron sources. Yang studied the application of the Monte Carlo method in designing an online neutron activation analysis system [13][14][15][16][17][18]. Radiation protection is a key problem in PGNAA system given that a neutron source is used.…”

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confidence: 99%

Monte Carlo simulation of biological shielding parameters in PGNAA

Yang

Peng

Qiao

et al. 2018

Micro & Nano Letters

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A prompt γ neutron activation analysis (PGNAA) facility based on a 252 Cf 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 B 4 C, B 2 O 3 , 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 B 4 C were selected as neutron-absorbing materials. The calculated biological shield protection parameters satisfied the requirements of the PGNAA facility used in the experiment.

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confidence: 99%

Monte Carlo simulation of biological shielding parameters in PGNAA

Yang

Peng

Qiao

et al. 2018

Micro & Nano Letters

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Research on Interaction Between Elements for PGNAA Cement Sample

Ren

Yang

2018

Arab J Sci Eng

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Research on the self-absorption corrections for PGNAA of large samples

et al. 2017

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Optimized Design of a PGNAA System for Cement Analysis Using Monte Carlo Simulations

Cited by 7 publications

References 7 publications

Monte Carlo simulation of biological shielding parameters in PGNAA

Monte Carlo simulation of biological shielding parameters in PGNAA

Research on Interaction Between Elements for PGNAA Cement Sample

Research on the self-absorption corrections for PGNAA of large samples

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