We have investigated the electrical conductivity percolation threshold of the materials, composed of conductive particles embedded in the nonconductive host matrix. A statistical, numerical method is used in which the particles are randomly put, one by one, into the nonconductive host and the conductive path is searched. The influence of different types of particle shapes on percolation threshold is considered. Using this method we have found that in addition to the anisotropy in the particles’ dimensions, the angular distribution of the particles’ long axes plays a dominant role in the calculations of the conductivity percolation threshold. Finally the nonuniform space distribution of particles’ positions is taken into account and the model is used to explain the percolation threshold in the AC conductivity of layered BaTiO₃-Ni composites.

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