Study on the statistical characteristics of soil crack based on complex network

Author:

Wang Lili

Abstract

Abstract In the References [1], we found the two typical soil-crack network (SCN) in Yuanmou Dry-hot Valley Region (YDVR) were not only the topological characteristics of the fracture network itself, but also more important study the reflected characteristics of the soil crack under different network topologies. On basis of the above research, we put our research on our attention and energy to their statistical characteristics. In this paper, according to complex network theory, we analyse the degree distribution properties of the two SCN in YDVR, that is, vertisols soil crack network (V-SCN) and dry-red soil crack network (DR-SCN), which includes not only their topological characteristics, but also more important study the reflected characteristics of the soil crack under different network topologies. In this paper, we have studied the betweenness centrality (BC) distribution and characteristic spectral density distribution of the two SCN. We found the power-law dielectric index of DR-SCN is bigger than V-SCN. The V-SCN is vulnerable overall damage, but the DR-SCN are more prone to dismemberment erosion. And we can observe how the crack development mechanism from “small” to “big”, and it can provide continuous visualization to study the growth process of soil crack.

Publisher

IOP Publishing

Subject

General Engineering

Reference12 articles.

1. Study on the degree distribution properties of soil crack;Liu;3rd International Conference on Geoscience, Energy and Materials (I-GEM 2019),2019

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3. A multiphysics model that can capture crack patterns in Si thin films based on their microstructure;Réthoré;Journal of Power Sources,2018

4. Internal Length Gradient (ILG) material mechanics across scales and disciplines;Aifantis;Adv. App. Mech.,2016

5. Linguistic complex networks: Rationale, application, interpretation, and directions;Cong;Physics of Life Reviews,2014

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