Topological and dynamic complexity of rock masses based on GIS and complex networks

Gang Liu, Jing He, Ru Li, Weile Li, Peichao Gao, Jiayan Lu, Wen Long, Lian Li and Min Tang

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 1240-1248

Abstract: Lithosphere is composed of a great number of rock masses. Crustal movement may cause the fracture of rock masses and stimulate tremendous energy. The interaction between rock masses may affect deep geological processes, especially earthquakes. This paper studies the spatial distribution of rock masses and proposes a network analysis method for mining the topological and functional characteristics of rock masses from complex networks and geographical information science (GIS) perspectives. Geological survey data covering Sichuan Province and Chongqing Municipality is used for experiments. Results show that if we do not consider the rock type or strength, the degree distribution of rock mass network satisfies power-law distribution; for nine types of rock masses and five levels of strengths, their topological relationships all follow power-law distributions. Moreover, the power-law exponents are greatly different for different rock types and strengths that may affect the interactions between rock masses.

Keywords: Rock mass; Topological relationship; GIS; Complex networks (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:1240-1248

DOI: 10.1016/j.physa.2018.08.103

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