摘要
针对孔隙率为4.08%和4.20%,孔隙长度尺寸范围分别为6.34～216.78μm,6.34～722.25μm的两组碳纤维增强复合材料试样,依据基于随机介质理论和统计学方法建立随机孔隙模型(Random Void Model,RVM)的思想,研究了孔隙建模原理和方法。将孔隙按照长度进行分级,分别建立对应不同尺寸级别的孔隙模型,然后将各个级别的孔隙模型进行叠加。与金相照片对比结果表明,采取分级孔隙建模思想得到的孔隙模拟结果与实际孔隙形貌之间的几何相似度很高,为后续数值计算提供了模型基础。
Based on the random void model （RVM） proposed upon random medium theory and statistical method, the modeling principles of porosity in carbon fiber reinforced composite were investigated. The porosities of the samples were 4.08% and 4.20% and the corresponding void length was in the range of 6.34 - 216.78p, m and 6.34 - 722.25p, m respectively. The voids were graded according to the length level. Model for each level was established. 2-D reconstructions were achieved by superposing models of all levels and compared with experimental micrographie results. It shows higher geometric similarity between the modeling results and the experimental results, which would provide valuable references for the future numerical calculations.
出处
《航空材料学报》
EI
CAS
CSCD
北大核心
2013年第3期81-85,共5页
Journal of Aeronautical Materials
基金
国家自然科学基金(50975042)
高等学校博士学科点专项科研基金(20110041110027)
