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包含铅纳米粒子的纤维增强聚合物复合材料的辐射屏蔽——一种实证方法。

Radiation Shielding of Fiber Reinforced Polymer Composites Incorporating Lead Nanoparticles-An Empirical Approach.

作者信息

A Abu Saleem Rabie, Abdelal Nisrin, Alsabbagh Ahmad, Al-Jarrah Maram, Al-Jawarneh Fatima

机构信息

Nuclear Engineering Department, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan.

Mechanical Engineering Department, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan.

出版信息

Polymers (Basel). 2021 Oct 27;13(21):3699. doi: 10.3390/polym13213699.

Abstract

In the present work, an empirical approach based on a computational analysis is performed to study the shielding properties of epoxy/carbon fiber composites and epoxy/glass fiber composites incorporating lead nanoparticle (PbNPs) additives in the epoxy matrix. For this analysis, an MCNP5 model is developed for calculating the mass attenuation coefficients of the two fiber reinforced polymer (FRP) composites incorporating lead nanoparticles of different weight fractions. The model is verified and validated for different materials and different particle additives. Empirical correlations of the mass attenuation coefficient as a function of PbNPs weight fraction are developed and statistically analyzed. The results show that the mass attenuation coefficient increases as the weight fraction of lead nanoparticles increases up to a certain threshold (~15 wt%) beyond which the enhancement in the mass attenuation coefficient becomes negligible. Furthermore, statistical parameters of the developed correlations indicate that the correlations can accurately capture the behavior portrayed by the simulation data with acceptable root mean square error (RMSE) values.

摘要

在本工作中,基于计算分析的实证方法用于研究在环氧树脂基体中加入铅纳米颗粒(PbNPs)添加剂的环氧/碳纤维复合材料和环氧/玻璃纤维复合材料的屏蔽性能。对于此分析,开发了一个MCNP5模型,用于计算包含不同重量分数铅纳米颗粒的两种纤维增强聚合物(FRP)复合材料的质量衰减系数。该模型针对不同材料和不同颗粒添加剂进行了验证和确认。建立了质量衰减系数与PbNPs重量分数的经验关联式并进行了统计分析。结果表明,质量衰减系数随着铅纳米颗粒重量分数的增加而增加,直至达到某个阈值(约15 wt%),超过该阈值后,质量衰减系数的增强变得微不足道。此外,所建立关联式的统计参数表明,这些关联式能够以可接受的均方根误差(RMSE)值准确捕捉模拟数据所描绘的行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c6f/8587508/19feb9b7d8e3/polymers-13-03699-g001.jpg

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