2005/08/09 by R. Mahmoodi Baram, Hans J. Herrmann, Baram, R. Mahmoodi +2
Computer Science · Engineering · Physics and Astronomy · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Granular flow and fluidized beds #Image Processing and 3D Reconstruction #Planetary Science and Exploration #cond-mat.dis-nn
paper · pdf · doi:10.48550/arxiv.cond-mat/0508219
Submitted to PRL
arxiv created 2005/08/09 · openalex publication_date 2005/08/09 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.