Random model for radiation shielding calculation of particle reinforced metal matrix composites and its application
Random model for radiation shielding calculation of particle reinforced metal matrix composites and its application
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颗粒增强金属基复合材料辐射屏蔽计算随机模型及其应用
DOI：
10.1016/j.apradiso.2020.109299
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发表时间：
2020-12-01
影响因子：
1.6
通讯作者：
Yan, Yihong
中科院分区：
文献类型：
--
作者：
Sun, Weiqiang;Hu, Huasi;Yan, Yihong
采用更合理的模型代替传统的均匀填充模型，计算颗粒增强金属基复合材料（PRMMCs）的辐射生物屏蔽性能，为此类材料的辐射屏蔽优化设计提供依据。首先，基于MATLAB和蒙特卡罗粒子输运程序MCNP建立了RSA（Random Sequential Adsorption）模型和GRM（Grid Random Model）模型，并比较了两种模型的优缺点。随后，采用随机模型计算了不同能量中子和不同屏蔽厚度下，金属基体类型、颗粒（B4C）含量、颗粒形状和颗粒形状参数对材料生物屏蔽性能的影响。最后，利用遗传算法结合MATLAB和MCNP计算了规则六面体B4C的最优高宽比。结果表明，广义相对论可以应用于PRMMC的辐射屏蔽计算。
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.