3D stochastic computational homogenization model for carbon fiber reinforced CNT/epoxy composites with spatially random properties. (1st January 2019)

• Record Type: Journal Article
• Authors: Jeong, Sungwoo; Zhu, Feiyan; Lim, Hyoungjun; Kim, Yeonghwan; Yun, Gun Jin
• Is Part Of: Composite structures. Volume 207(2019)
• Page Start: 858
• Page End: 870
• Publication Date: 2019-01-01
• Subjects: Carbon nanotube -- Computational homogenization -- Uncertainty propagation -- Stochastic multiscale modeling -- Random field modeling -- Finite element modeling; Composite construction -- Periodicals; Composites -- Périodiques; 624.18
• DOI: 10.1016/j.compstruct.2018.09.025
• Languages: English
• ISSNs: 0263-8223

Abstract

Abstract: In this paper, a 3D stochastic computational homogenization model for carbon fiber-reinforced (CFR) CNT/epoxy matrix composites was presented. Stochastic waviness, agglomeration and orientation of CNT fillers cause random spatial variations of the elasticity tensor of the CNT/epoxy matrix within a microscale RVE, resulting in probabilistic variations of the effective homogenized stiffness of the RVE. The present computational homogenization model is based on two-scale asymptotic homogenization theory. An ensemble average of the multiple homogenized effective stiffnesses was obtained for structural analysis of the macroscale CFR CNT/epoxy composite materials. From the proposed model, we could observe significant effects of the CNT alignment orientations, agglomeration and waviness on the effective stiffnesses. Effective stiffness changes of a microscale RVE caused by the nanoscale uncertainties were investigated. The proposed multiscale modeling method and approach will be a basis for hierarchical multiscale material design of nanocomposite materials.