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Fluid flow in pre-existing fractures network

Author: Ignasi de Pouplana

Kratos version: 9.3

Source files: Fluid Pumping 2D

How to run: from terminal using python or from the GUI using GiD.

Case Specification

This problem consists on a 30 x 15 m block of soil with a pre-defined fractures network of 4 cm width through which a constant flux of water is pumped at 1 m/s during 0.001 seconds.

The example is approached in a 2D configuration under plane-strain assumption and combines two different types of elements. The porous domain is represented by standard displacement-pore pressure elements and the pre-existing fractures network is defined by interface elements, which represent the jump in the displacement field and introduce directional preferences in the fluid flow [1].

The material properties of the porous domain are the following:

  • Young's modulus (E): 2.6E+7 N/m2
  • Poisson's ratio (ν): 0.2
  • Solid density (ρs): 2000 Kg/m3
  • Fluid density (ρf): 1000 Kg/m3
  • Porosity (φ): 0.3
  • Solid bulk modulus (Ks): 1.0E+10 N/m2
  • Fluid bulk modulus (Kf): 2.0E+7 N/m2
  • Intrinsic permeability (k): 4.5E-11 m2
  • Dynamic viscosity (μ): 0.001 s·N/m2

While the joints are represented by the following properties:

  • Young's modulus (E): 2.6E+7 N/m2
  • Poisson's ratio (ν): 0.2
  • Solid density (ρs): 2000 Kg/m3
  • Fluid density (ρf): 1000 Kg/m3
  • Porosity (φ): 0.3
  • Solid bulk modulus (Ks): 1.0E+10 N/m2
  • Fluid bulk modulus (Kf): 2.0E+7 N/m2
  • Transversal permeability (kn): 1.0E-11 m2
  • Dynamic viscosity (μ): 0.001 s·N/m2
  • Damage threshold (ϱy): 0.001
  • Minimum joint width (tmin): 0.002 m
  • Critical displacement (δc): 1.0E-4 m
  • Yield stress (σy): 1.0 N/m2
  • Friction coefficient (μF): 0.4

Results

The next two figures show the displacement and the pore pressure fields at time t = 0.001 s.

References

[1] I. de Pouplana and E. Oñate. Finite element modelling of fracture propagation in saturated media using quasi-zero-thickness interface elements. Computers and Geotechnics, 2017, http://dx.doi.org/10.1016/j.compgeo.2017.10.016.