Certain hierarchical laminates with a wide separation of length scales are known theoretically to have optimal transport and mechanical properties. We derive analytical expressions for the n-point probability functions that statistically characterize the microstructure for more general hierarchical laminates with an arbitrary number of stages and a finite separation of length scales. Using two-point probability information, we rigorously bound the effective conductivity (or dielectric constant) tensor for macroscopically anisotropic laminates and study how the separation of length scales affects the effective properties.
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Quintanilla et al. (1996) studied this question.
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