A complex network approach to identifying and characterizing vital voids in the particle packing of caved ore and rock

Hao Sun, Shenggui Zhou, Junze Jia, Lishan Zhao, Lichang Wei, Xueqian Wang, Shigen Fu, Xuan Qin and Wei Sun

Chaos, Solitons & Fractals, 2025, vol. 192, issue C

Abstract: The particle packing system of caved ore and rock can be characterized as a complex system consisting of both a particle phase and a void phase. This paper focuses primarily on the void network as the main subject of research. After analyzing the statistical characteristics of both voids and throats, we employ a complex network approach to identify vital voids. Furthermore, we investigate the geometric characteristics, spatial distribution, and connectivity of vital voids. The results indicate that: (1) The distributions of void radius and throat radius, which are influenced by varying particle gradation and void rate, conform to a Gaussian distribution. In contrast, the distribution of the void shape factor displays a long-tail distribution. (2) The void network present adheres to a scale-free network model that exhibits small-world characteristics. Additionally, vital voids are characterized by a large average size, elevated Closeness centrality, and a low Clustering coefficient. (3) There exists a strong positive correlation between the Betweenness centrality of vital voids and void radius, Degree, and shape factor. In contrast, the Clustering coefficient exhibits a negative correlation with Betweenness centrality, void radius, Degree, and shape factor, while the correlation between Closeness centrality and each of these indices is relatively weak.

Keywords: Particle packing system; Caved ore and rock; Void network model; Vital void identification; Complex network (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925000098
Full text for ScienceDirect subscribers only

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:chsofr:v:192:y:2025:i:c:s0960077925000098

DOI: 10.1016/j.chaos.2025.115996

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().