Stochastic Modeling on Elastic Property Prediction of CarbonNanotube Reinforced Composites

摘要

In this study, the statistical relationships between composite microstructures and the corresponding compositeproperties are investigated. A previously proposed stochastic based modeling methodology is used to predict theelastic properties of a mutli-layered carbon nanotube (CNT) reinforced composite laminate. Several microstructureparameters, including nanotube bundle length, diameter, orientation, waviness, and ply thickness, are considered.The Monte-Carlo simulation is applied in conjunction with the Mori-Tanaka method and classical laminate theory inorder to generate the probability distribution of the effective stiffness tensor for multi-layered composite laminate.The theoretical predictions are compared with previously published experimental data, and the resulting trends forthe effective tensile property between experimental and theoretical correspond well with each other.