A Size-Perimeter Discrete Growth Model for Percolation Clusters

Bendegúz Dezső Bak, Tamás Kalmár-Nagy and Giacomo Fiumara

Complexity, 2021, vol. 2021, 1-16

Abstract: Cluster growth models are utilized for a wide range of scientific and engineering applications, including modeling epidemics and the dynamics of liquid propagation in porous media. Invasion percolation is a stochastic branching process in which a network of sites is getting occupied that leads to the formation of clusters (group of interconnected, occupied sites). The occupation of sites is governed by their resistance distribution; the invasion annexes the sites with the least resistance. An iterative cluster growth model is considered for computing the expected size and perimeter of the growing cluster. A necessary ingredient of the model is the description of the mean perimeter as the function of the cluster size. We propose such a relationship for the site square lattice. The proposed model exhibits (by design) the expected phase transition of percolation models, i.e., it diverges at the percolation threshold pc. We describe an application for the porosimetry percolation model. The calculations of the cluster growth model compare well with simulation results.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:9919333

DOI: 10.1155/2021/9919333

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