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Preferential flow pathways in a deforming granular material: self-organization into functional groups for optimized

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This study introduces a new method to identify preferential flow paths in porous media by analyzing network topology. These optimized pathways ensure efficient fluid transport, similar to force chains in granular materials.

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Area of Science:

  • Geophysics
  • Fluid Dynamics
  • Materials Science

Background:

  • Current models for preferential flow in porous media often require prior knowledge of flow dynamics.
  • These models do not fully capture the intricate connectivity of flow paths within a system.

Purpose of the Study:

  • To develop a novel method for identifying preferential flow pathways in porous media.
  • To analyze the topology and link capacities of flow networks to predict flow behavior.
  • To understand the role of pathway connectivity in fluid transport.

Main Methods:

  • Proposed a new method to identify preferential pathways based on network topology and finite link capacities.
  • Utilized data from a deforming granular medium to validate the method.
  • Analyzed the structure and function of identified pathways, including primary and secondary subgroups.

Main Results:

  • Identified preferential pathways as percolating networks optimized for global transport of interstitial pore fluid.
  • Revealed two functional subgroups: primary arterial paths for high-volume, short-route flow, and secondary bridge paths for distribution and alternative routes.
  • Observed a multiscale relationship between pathway functionality and subgroup structure during sample dilation leading to failure.

Conclusions:

  • The proposed method effectively identifies preferential flow pathways without assuming a priori flow knowledge.
  • Preferential flow pathways are optimized for efficient global transport and are analogous to force chains in granular materials.
  • Understanding these pathways is crucial for predicting fluid behavior in complex porous systems.