| 论文简介 |
Highlights
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Two kinds of suitable random model were established for radiation shielding calculation of particle reinforced metal matrix composites.
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Metal matrix type, particle content, particle shape and particle shape parameters were all considered to calculate the effect on materials' radiation shielding performance.
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The optimal aspect ratio of regular hexahedral B4C was calculated by Genetic Algorithm combined with MATLAB and MCNP.
Weiqiang Sun(a),HuasiHu(a),BoYu(b),LiangSheng(c),Guang Hua,YaoCai(d),Quanzhan Yang(b),Mei Zhang(c),Yihong Yan(a)
a
School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China
b
State Key Laboratory of Light Alloy Foundry Technology for High-end Equipment Shenyang Research Institute of Foundry Co. Ltd., Shenyang, 110022, China
c
State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, Northwest Institute of Nuclear Technology, Xi'an, 710024, China
d
Abstract
The work aimed to calculate the radiation biological shielding performance of particle reinforced metal matrix composite (PRMMCs) using more reasonable model instead of conventional Uniform Filling Model, also attempted to provide a basis for the radiation shielding optimal design of such materials. Firstly, RSA (Random Sequential Adsorption) Model and GRM (Grid Random Model) were established based on MATLAB and Monte Carlo Particle transport program MCNP, and then advantages and disadvantages of them were compared. Later, the influences of metal matrix type, particle (B4C) content, particle shape and particle shape parameters on the biological shielding performance of materials were calculated under different energy neutrons and different thickness shield using random models. Finally, the optimal aspect ratio of regular hexahedral B4C was calculated by Genetic Algorithm combined with MATLAB and MCNP. It indicated that GRM could be applied to radiation shielding calculation of PRMMCs.
Keywords
Radiation shieldingMCNP CodeRandom modelPRMMCsOptimal design
China Ship Development and Design Center, Wuhan, 430064, China
Received 30 July 2019, Revised 5 June 2020, Accepted 15 June 2020, Available online 5 July 2020.
This work is supported by State Key Laboratory of Light Alloy Foundry Technology for High-end Equipment (No. LACT-001), the NSAF Joint Fund set up by the National Natural Science Foundation of China and the Chinese Academy of Engineering Physics under Grant (U1830128) and the National Natural Science Foundation of China (No. 11975182).
https://doi.org/10.1016/j.apradiso.2020.109299 |
(创新港)
