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Evaluation of Effective Material Parameters of CNT-reinforced Composites via 3D BEM

F.C. Araújo1, L.J. Gray2

Dept Civil Eng, UFOP, Ouro Preto, MG, Brazil; visitor at the Oak Ridge National Laboratory, TN, U.S.A.
Oak Ridge National Laboratory, TN, U.S.A

Computer Modeling in Engineering & Sciences 2008, 24(2&3), 103-122. https://doi.org/10.3970/cmes.2008.024.103

Abstract

In recent years, carbon nanotubes (CNTs) have been widely employed to build advanced composites. In this work, a Boundary Element Method (BEM) is applied to 3D representative volume elements (RVEs) to estimate mechanical properties of CNT-based composites. To model the thin-walled nanotubes, special integration procedures for calculating nearly-strongly-singular integrals have been developed. The generic BE substructuring algorithm allows modeling complex CNT-reinforced polymers, containing any number of nanotubes of any shape (straight or curved). The subregion-by-subregion strategy, based on Krylov solvers, makes the independent generation, assembly, and storage of the many parts of the complete BE model possible. Thus, significant memory and CPU-time reductions are achieved in avoiding working with an explicit global system of equations. Further CPU-time reduction is obtained by employing a matrix-copy option for repeated subregions. Several applications will illustrate the ability of this algorithm to analyze CNT-based composites.

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Cite This Article

APA Style
Araújo, F., Gray, L. (2008). Evaluation of effective material parameters of cnt-reinforced composites via 3D BEM. Computer Modeling in Engineering & Sciences, 24(2&3), 103-122. https://doi.org/10.3970/cmes.2008.024.103
Vancouver Style
Araújo F, Gray L. Evaluation of effective material parameters of cnt-reinforced composites via 3D BEM. Comput Model Eng Sci. 2008;24(2&3):103-122 https://doi.org/10.3970/cmes.2008.024.103
IEEE Style
F. Araújo and L. Gray, “Evaluation of Effective Material Parameters of CNT-reinforced Composites via 3D BEM,” Comput. Model. Eng. Sci., vol. 24, no. 2&3, pp. 103-122, 2008. https://doi.org/10.3970/cmes.2008.024.103



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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