4.5 Article

Effective medium approximation for two-component nonlinear composites with shape distribution

期刊

JOURNAL OF PHYSICS-CONDENSED MATTER
卷 15, 期 25, 页码 4397-4409

出版社

IOP Publishing Ltd
DOI: 10.1088/0953-8984/15/25/310

关键词

-

向作者/读者索取更多资源

The effective medium approximation (EMA) is derived to investigate the effective linear and nonlinear responses of two-component composites in which one component is nonspherical and distributed in shape. Both components with the volume fractions p and q are assumed to obey a current-field J-E relation of the form J = sigma(i)E + chi(i)\E\E-2, where sigma(i) and chi(i) are the linear conductivity and nonlinear response of the component i (i = 1, 2) respectively. As the percolation threshold p(c) (or q(c)) is approached from above (or below), the effective linear conductivity sigma(e) and effective nonlinear response chi(e) behave as sigma(e) similar to [p-p(c)(Delta)](t) and chi(e) similar to [p-p(c)(Delta)](t2) in the conductor/insulator (C/I) limit, and sigma(e) similar to [q(c)(Delta)-q](-s) and chi(e) similar to [q(c)(Delta)-q](-s2) in the superconductor/conductor (S/C) limit, where the exponents are found to be t = s = 1 and t(2) = s(2) = 2, independent of the shape variance parameter Delta, and p(c)(Delta) (or q(c)(Delta)) is a monotonically decreasing (or increasing) function with Delta. For a finite-conductivity ratio h = sigma(1)/sigma(2), numerical results show that sigma(e) may be increased or decreased with increasing Delta, dependent on whether the first component is a good or a poor conductor, while chi(e) can exhibit a monotonic increase, monotonic decrease and nonmonotonic behaviour. Therefore, chi(e) can be greatly enhanced by the adjustment of the shape variance parameter, and thereby provides an alternative way to achieve large enhancement of effective nonlinear response. The results of EMA with shape distribution are also compared with exact solutions in the dilute limit and reasonable agreement is found.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据