Multiple fragmentation of critical continuum percolation clusters
Sang Bub Lee
Physica A: Statistical Mechanics and its Applications, 2014, vol. 393, issue C, 480-488
Abstract:
The scaling properties of multiple fragmentation were examined by Monte Carlo simulations in continuum percolation, in which inclusion particles, i.e., overlapping discs and spheres, were assumed to be connected if they overlapped. Each inclusion particle may be multiply connected to other particles, and a large cluster can be fragmented into many smaller clusters by removing a fragmenting particle, thereby enabling a study of multiple fragmentation. The scaling exponents for binary, ternary and quaternary fragmentation were calculated, and the probability distribution of the daughter clusters was also examined. The power laws and scaling relations known for lattice bond percolation equally held for the binary, ternary and quaternary fragmentation of critical continuum percolation clusters.
Keywords: Multiple fragmentation; Continuum percolation; Power laws; Scaling; Mean number of daughter clusters; Probability distribution of daughter clusters (search for similar items in EconPapers)
Date: 2014
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437113008273
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:393:y:2014:i:c:p:480-488
DOI: 10.1016/j.physa.2013.08.077
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().