Using porous random fields to predict the elastic modulus of unoxidized and oxidized superfine graphite
Using porous random fields to predict the elastic modulus of unoxidized and oxidized superfine graphite
复制标题
利用多孔随机场预测未氧化和氧化超细石墨的弹性模量
DOI：
10.1016/j.matdes.2022.110840
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发表时间：
2022
影响因子：
8.4
通讯作者：
Arregui-Mena J
中科院分区：
文献类型：
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作者：
Arregui-Mena J
核石墨是第四代核电站的候选材料。多孔材料如石墨可以包含复杂的孔隙网络，影响材料的机械和辐照响应。采用随机有限元法（RFEM）创建了合成的微观结构，并预测了氧化过程中孔隙率对石墨弹性性能的影响。RFEM在蒙特卡罗框架下结合随机场理论和有限元方法来估计给定等级石墨的力学响应。本研究通过实验表征对随机场进行验证，预测了ETU-10、IG-110和2114三种核石墨等级的弹性响应。利用x射线计算机断层扫描（XCT）数据的分割（即基于图像的模型（ibm））生成有限元模型（FEM），以验证并与RFEM结果进行比较，从而更好地了解这些石墨等级均匀氧化的影响。RFEM的预测似乎与三种石墨等级的杨氏模量的测量值有很好的相关性，并显示出与ibm相同的趋势。
Nuclear graphite is a candidate material for Generation IV nuclear power plants. Porous materials such as graphite can contain complex networks of pores that influence the material's mechanical and irradiation response. A methodology known as the random finite element method (RFEM) was adapted to create synthetic microstructures and predict the influence of porosity on the elastic properties of graphite during oxidation. RFEM combines random field theory and the finite element method in a Monte Carlo framework to estimate the mechanical response of a given grade of graphite. In this research, the random fields were verified through experimental characterization to predict the elastic response of three nuclear graphite grades, ETU-10, IG-110, and 2114. Finite element models (FEM) were generated using segmentations of x-ray computed tomography (XCT) data known as image-based models (IBMs) to validate and compare with the RFEM results and better understand the effects of uniform oxidation in these graphite grades. The RFEM predictions appear to correlate well with the experimental values of the measured Young’s modulus of the three graphite grades and display the same trends as IBMs.