Abstract
A computational strategy to predict the elastic properties of carbon nanotube-reinforced polymer composites is proposed in this two-part paper. In Part I, the micro-structural characteristics of these nano-composites are discerned. These characteristics include networks/agglomerations of carbon nanotubes and thick polymer interphase regions between the nanotubes and the surrounding matrix. An algorithm is presented to construct three-dimensional geometric models with large amounts of randomly dispersed and aggregated nanotubes. The effects of the distribution of the nanotubes and the thickness of the interphase regions on the concentration of the interphase regions are demonstrated with numerical results. © 2013 Elsevier B.V. All rights reserved.
Original language | English (US) |
---|---|
Pages (from-to) | 641-651 |
Number of pages | 11 |
Journal | Computational Materials Science |
Volume | 81 |
DOIs | |
State | Published - Jan 2014 |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01ASJC Scopus subject areas
- General Physics and Astronomy
- Mechanics of Materials
- General Materials Science
- Computational Mathematics
- General Chemistry
- General Computer Science