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

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

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.

Suggested Citation

  • Sun, Hao & Zhou, Shenggui & Jia, Junze & Zhao, Lishan & Wei, Lichang & Wang, Xueqian & Fu, Shigen & Qin, Xuan & Sun, Wei, 2025. "A complex network approach to identifying and characterizing vital voids in the particle packing of caved ore and rock," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000098
    DOI: 10.1016/j.chaos.2025.115996
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