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Scaling solutions for connectivity and conductivity of continuous random networks
S A Galindo-Torres1,2, T Molebatsi2, X-Z Kong2,3
1Geotechnical Engineering Centre. School of Civil Engineering, The University of Queensland, Brisbane QLD 4072, Australia.
Monte Carlo simulations reveal universal scaling laws for two-dimensional fracture networks (FNs). These findings explain scale-dependent behavior and quantify bulk properties of continuous random networks.
Area of Science:
- Geophysics
- Statistical Physics
- Network Science
Background:
- Two-dimensional fracture networks (FNs) are crucial continuous random networks.
- Understanding their connectivity and conductivity is essential for various scientific and engineering applications.
- Previous studies have observed scale-dependent behavior in FNs, necessitating a unified theoretical framework.
Purpose of the Study:
- To systematically examine the connectivity and conductivity of 2D FNs.
- To analyze simulation results using analogies from percolation theory.
- To develop universal scaling solutions for describing FN properties.
Main Methods:
- Utilizing Monte Carlo simulations to model FNs under diverse conditions.
- Investigating various power law distributions for fracture lengths and domain sizes.
- Applying percolation theory concepts to analyze discrete random network analogies.
Main Results:
- Demonstrated that connectivity and conductivity of FNs follow universal scaling solutions.
- Introduced characteristic length and conductivity scales to describe FN behavior.
- Successfully explained previously observed scale-dependent FN properties.
Conclusions:
- The study provides a powerful method for quantifying effective bulk properties of continuous random networks.
- Universal scaling solutions offer a unified approach to understanding FN behavior.
- Findings have implications for modeling subsurface flow, material science, and other related fields.
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