Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-08-09
Physics
Condensed Matter
Disordered Systems and Neural Networks
Submitted to PRL
Scientific paper
Self-similar space-filling bearings have been proposed some time ago as models for the motion of tectonic plates and appearance of seismic gaps. These models have two features which, however, seem unrealistic, namely, high symmetry in the arrangement of the particles, and lack of a lower cutoff in the size of the particles. In this work, an algorithm for generating random bearings in both two and three dimensions is presented. Introducing a lower cutoff for the sizes of the particles, the instabilities of the bearing under an external force such as gravity are studied.
Baram Reza Mahmoodi
Herrmann Hans Jürgen
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