EFFECTIVE COMPLEX PERMITTIVITY OF RANDOM COMPOSITES

The prediction of the macroscopic complex permittivity of composites i s based on the derivations of D.J. Bergman and G. Milton, by means of third order correlation functions. This approach is applied to morphol ogical models of textures simulating the geometry of two phase composi tes: random mosaics built on a random tessellation, Boolean models, De ad Leaves models, or combinations of these models into hierarchical ra ndom textures; they allow us to look for optimal textures with respect to the material behaviour.