Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/142363
Title: | A new multiscale numerical characterization of mechanical properties of graphene-reinforced polymer-matrix composites | Authors: | Guo, Zhangxin Song, Lubin Boay, Chai Gin Li, Zhonggui Li, Yongcun Wang, Zhihua |
Keywords: | Engineering::Mechanical engineering | Issue Date: | 2018 | Source: | Guo, Z., Song, L., Boay, C. G., Li, Z., Li, Y., & Wang, Z. (2018). A new multiscale numerical characterization of mechanical properties of graphene-reinforced polymer-matrix composites. Composite Structures, 199, 1-9. doi:10.1016/j.compstruct.2018.05.053 | Journal: | Composite Structures | Abstract: | In the present study, a three-dimensional multiscale simulation method for analyzing the mechanical properties of graphene-reinforced polymer-matrix composites is proposed. The macroscopic and the atomistic scales are combined in the proposed finite element modeling approach. The macroscopic homogeneous isotropic model of the matrix and the interface is included in the representative volume element (RVE) of the composites. In the nanoscale analysis, a space frame structure of graphene is selected, the carbon atoms are described as nodes, and the carbon-carbon (C-C) covalent bonds are represented with nanoscale beams. The effect of graphene volume fraction and different inclined angles on the mechanical properties of the composites is investigated under axial tension. The simulation results showed that with the increase in the graphene volume fraction, the Young's modulus and shear modulus of the graphene-reinforced composites were increased significantly. The stress transfer in the interface of the composites was also analyzed using this multiscale approach. | URI: | https://hdl.handle.net/10356/142363 | ISSN: | 0263-8223 | DOI: | 10.1016/j.compstruct.2018.05.053 | Schools: | School of Mechanical and Aerospace Engineering | Rights: | © 2018 Elsevier Ltd. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | MAE Journal Articles |
SCOPUSTM
Citations
10
41
Updated on May 6, 2025
Web of ScienceTM
Citations
10
25
Updated on Oct 28, 2023
Page view(s)
234
Updated on May 5, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.