Table of Content

Open Access iconOpen Access

ARTICLE

Homogenization Analysis for Particulate Composite Materials using the Boundary Element Method

Hiroshi Okada1, Yasuyoshi Fukui1, Noriyoshi Kumazawa1

1 Kagoshima University, Kagoshima, Japan

Computer Modeling in Engineering & Sciences 2004, 5(2), 135-150. https://doi.org/10.3970/cmes.2004.005.135

Abstract

A method to obtain the effective mechanical properties of particulate composite materials is presented in this paper. The methodology is based on the boundary element method (BEM) coupled with analytical solutions for ellipsoidal inclusions such as Eshelby's tensor. There is no numerical integration for the surfaces or the domains of distributed particles, and, therefore, proposed technique is very efficient. Homogenization analysis based on representative volume element (RVE) is carried out considering a unit cell containing many particles (up to 1000). By using a conventional BEM approach (i.e., multi-region BEM), it would be extremely difficult to analyze such a large RVE, since the problem size would become unacceptably large. Some numerical solutions are presented and the accuracy of present approach is discussed in this paper.

Keywords


Cite This Article

APA Style
Okada, H., Fukui, Y., Kumazawa, N. (2004). Homogenization analysis for particulate composite materials using the boundary element method. Computer Modeling in Engineering & Sciences, 5(2), 135-150. https://doi.org/10.3970/cmes.2004.005.135
Vancouver Style
Okada H, Fukui Y, Kumazawa N. Homogenization analysis for particulate composite materials using the boundary element method. Comput Model Eng Sci. 2004;5(2):135-150 https://doi.org/10.3970/cmes.2004.005.135
IEEE Style
H. Okada, Y. Fukui, and N. Kumazawa, “Homogenization Analysis for Particulate Composite Materials using the Boundary Element Method,” Comput. Model. Eng. Sci., vol. 5, no. 2, pp. 135-150, 2004. https://doi.org/10.3970/cmes.2004.005.135



cc Copyright © 2004 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.
  • 1183

    View

  • 1250

    Download

  • 0

    Like

Share Link