An algorithm for computing the effective linear elastic properties of heterogeneous materials: Three-dimensional results for composites with equal phase poisson ratios

Abstract An algorithm based on finite elements applied to digital images is described for computing the linear elastic properties of heterogeneous materials. As an example of the algorithm, and for their own intrinsic interest, the effective Poisson's ratios of two-phase random isotropic composites are investigated numerically and via effective medium theory, in two and three dimensions. For the specific case where both phases have the same Poisson's ratio (ν1 = ν 2), it is found that there exists a critical value ν ∗ , such that when ν 1 = ν 2 > ν ∗ the composite Poisson's ratio ν always decreases and is bounded below by ν ∗ when the two phases are mixed. If ν 1 = ν 2 ∗ , the value of ν always increases and is bounded above by ν ∗ when the two phases are mixed. In d dimensions, the value of ν ∗ is predicted to be 1 (2d − 1) using effective medium theory and scaling arguments. Numerical results are presented in two and three dimensions that support this picture, which is believed to be largely independent of microstructural details.

[1]  E. Garboczi,et al.  The elastic moduli of a sheet containing circular holes , 1992 .

[2]  James G. Berryman,et al.  Long‐wavelength propagation in composite elastic media II. Ellipsoidal inclusions , 1980 .

[3]  Salvatore Torquato,et al.  Random Heterogeneous Media: Microstructure and Improved Bounds on Effective Properties , 1991 .

[4]  R. Hill Elastic properties of reinforced solids: some theoretical principles , 1963 .

[5]  Edward J. Garboczi,et al.  Computational materials science of cement-based materials , 1993 .

[6]  M. Thorpe,et al.  Elastic moduli of two‐dimensional composite continua with elliptical inclusions , 1985 .

[7]  Nicos Martys,et al.  Transport and diffusion in three-dimensional composite media , 1994 .

[8]  Torquato,et al.  Coarse-graining procedure to generate and analyze heterogeneous materials: Theory. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[9]  H. Scher,et al.  Percolation on a Continuum and the Localization-Delocalization Transition in Amorphous Semiconductors , 1971 .

[10]  I. Jasiuk,et al.  New results in the theory of elasticity for two-dimensional composites , 1992, Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences.

[11]  Elijah Polak,et al.  Computational methods in optimization , 1971 .

[12]  R. Cook,et al.  Concepts and Applications of Finite Element Analysis , 1974 .

[13]  E. Garboczi,et al.  Cellular automaton algorithm for surface mass transport due to curvature gradients simulations of sintering , 1992 .

[14]  Jayanth R. Banavar,et al.  Image‐based models of porous media: Application to Vycor glass and carbonate rocks , 1991 .

[15]  Z. Hashin Analysis of Composite Materials—A Survey , 1983 .

[16]  Edward J. Garboczi,et al.  The elastic moduli of simple two‐dimensional isotropic composites: Computer simulation and effective medium theory , 1992 .

[17]  B. Budiansky On the elastic moduli of some heterogeneous materials , 1965 .

[18]  D. Bergman,et al.  Critical Properties of an Elastic Fractal , 1984 .

[19]  R. Zimmerman Behavior of the Poisson Ratio of a Two-Phase Composite Material in the High-Concentration Limit , 1994 .