Mechanical Property Prediction of Millimeter-Level B<sub>4</sub>C Particles Reinforced Nuclear Radiation Shielding Materials

SUN Weiqiang; LIU Xiaojun; YAN Yihong; JI Fu; LIN Hanwen; KE Tao; HU Huasi; HU Guang

doi:10.7652/xjtuxb202511015

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Mechanical Property Prediction of Millimeter-Level B₄C Particles Reinforced Nuclear Radiation Shielding Materials

更新时间：2025-11-11

- Mechanical Property Prediction of Millimeter-Level B₄C Particles Reinforced Nuclear Radiation Shielding Materials
- Journal of Xi'an Jiaotong University Vol. 59, Issue 11, Pages: 155-163(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202511015
  CLC： TB33
- Received：21 February 2025，
  
  Published：10 November 2025
- 稿件说明：
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SUN Weiqiang, LIU Xiaojun, YAN Yihong, et al. Mechanical Property Prediction of Millimeter-Level B₄C Particles Reinforced Nuclear Radiation Shielding Materials[J]. Journal of Xi'an Jiaotong University, 2025, 59(11): 155-163. DOI: 10.7652/xjtuxb202511015.
DOI：

SUN Weiqiang, LIU Xiaojun, YAN Yihong, et al. Mechanical Property Prediction of Millimeter-Level B₄C Particles Reinforced Nuclear Radiation Shielding Materials[J]. Journal of Xi'an Jiaotong University, 2025, 59(11): 155-163. DOI: 10.7652/xjtuxb202511015. DOI：

摘要

针对现有预测模型不完全适用于兼具中子、伽马综合屏蔽性能的毫米级碳化硼（B

C）颗粒增强金属基核辐射屏蔽材料力学性能预测的问题，提出一种结合有限元仿真软件和自编程的力学性能预测模型。首先，使用LiveLink

for MATLAB®接口将有限元软件COMSOL Multiphysics和MATLAB自编程相结合，构建基于随机算法模型（GRM）的代表性体元模型，并计算确定了模型尺寸、网格划分尺寸等关键模拟参数；其次，与文献模型数据对比，验证了模型的正确性；最后，仿真计算了B

C颗粒的含量、形状和粒径等参数对复合材料力学性能的影响。结果表明：当B

C颗粒与基体理想结合、半径为0.20cm、体积分数为30%时，复合材料的屈服强度比B质量分数为1.80%和1.65%的硼钢分别高25.60%和21.00%；在毫米级粒径范围内，B

C颗粒形状和粒径大小对复合材料弹性模量、屈服强度的影响不超过3.28%；所提预测模型对毫米级B

C颗粒增强核辐射屏蔽复合材料多性能优化设计时力学性能的评估具有指导意义。

Abstract

To address the limitations of existing prediction models in evaluating the mechanical properties of millimeter-level B

C particle-reinforced metal matrix nuclear radiation shielding materials with integrated neutron and gamma radiation shielding performance

a novel mechanical property prediction model combining finite element simulation software and self-programming is proposed. First

the LiveLink

for MATLAB® interface is utilized to integrate the finite element software COMSOL Multiphysics with self-programming in MATLAB

establishing a GRM stochastic RVE model. Key simulation parameters including model dimensions and mesh sizes are determined through computational analysis. Subsequently

the model's validity is verified through comparison with literature data. Finally

the effects of B

C particle content

shape

and size on the composite material's mechanical properties are systematically investigated via simulation. Results demonstrate that when the B

C particles are ideally bonded with the matrix at a radius of 0.20cm and a volume fraction of 30%

the composite material's yield strength increases by 25.60% and 21.00% compared to boron steels containing 1.80% and 1.65% boron

respectively. Within the millimeter-level particle size range

variations in B

C particle shape and size affect the composite material's elastic modulus and yield strength by no more than 3.28%.The proposed prediction model provides valuable guidance for multi-property optimization design of millimeter-level B

C particle-reinforced nuclear radiation shielding composite materials.

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Mechanical Property Prediction of Millimeter-Level B4C Particles Reinforced Nuclear Radiation Shielding Materials

DOI：10.7652/xjtuxb202511015

摘要

Abstract

关键词

Keywords

references

Mechanical Property Prediction of Millimeter-Level B₄C Particles Reinforced Nuclear Radiation Shielding Materials