Step 2: Magma inflation with evolution of porosity#

New in v4.0.0

Features

  • Quasi-static problem

  • LU preconditioner

  • pylith.materials.Poroelasticity

  • pylith.meshio.MeshIOPetsc

  • pylith.problems.TimeDependent

  • pylith.problems.SolnDispPresTracStrain

  • pylith.problems.InitialConditionDomain

  • pylith.bc.DirichletTimeDependent

  • pylith.bc.NeumannTimeDependent

  • pylith.meshio.DataWriterHDF5

  • spatialdata.spatialdb.SimpleGridDB

  • spatialdata.spatialdb.UniformDB

  • Poroelasticity with porosity state variable

  • Isotropic linear poroelasticity with reference state

Simulation parameters#

We extend the simulation in Step 1 by including evolution of the porosity, which depends on the time derivative of the pressure and trace strain. We also compute the deformation relative to a uniform reference compressive pressure of 5 MPa to illustrate how to use a reference state with poroelasticity. We use the same initial conditions and boundary conditions as in Step 1.

Because the evolution of porosity depends on the time derivative of the solution subfields, we need to include the time derivatives in the solution field. As a result, we have 6 subfields in our solution field.

Listing 229 Solution subfields for Step 2.#
# Poroelasticity with porosity state variable requires solution with time derivatives 
solution = pylith.problems.SolnDispPresTracStrainVelPdotTdot

# Set basis order for all solution subfields
[pylithapp.problem.solution.subfields]
displacement.basis_order = 2
pressure.basis_order = 1
trace_strain.basis_order = 1
velocity.basis_order = 2
pressure_t.basis_order = 1
trace_strain_t.basis_order = 1
Listing 230 Material parameters for poroelasticity with state variables and reference state for Step 2.#
[pylithapp.problem.materials.crust]
use_state_variables = True

db_auxiliary_field.values = [
    solid_density, fluid_density, fluid_viscosity, porosity, shear_modulus, drained_bulk_modulus, biot_coefficient, fluid_bulk_modulus, solid_bulk_modulus, isotropic_permeability,
    reference_stress_xx, reference_stress_yy, reference_stress_zz, reference_stress_xy,
    reference_strain_xx, reference_strain_yy, reference_strain_zz, reference_strain_xy
    ]
db_auxiliary_field.data   = [
    2500*kg/m**3, 1000*kg/m**3, 0.001*Pa*s, 0.01, 6.0*GPa, 10.0*GPa, 1.0, 2.0*GPa, 20.0*GPa, 1e-15*m**2,
    -5.0*MPa, -5.0*MPa, -5.0*MPa, 0.0*MPa,
    0.0, 0.0, 0.0, 0.0
    ]

auxiliary_subfields.porosity.basis_order = 1

[pylithapp.problem.materials.crust.bulk_rheology]
use_reference_state = True


[pylithapp.problem.materials.intrusion]
use_state_variables = True

db_auxiliary_field.values = [
    solid_density, fluid_density, fluid_viscosity, porosity, shear_modulus, drained_bulk_modulus, biot_coefficient, fluid_bulk_modulus, solid_bulk_modulus, isotropic_permeability,
    reference_stress_xx, reference_stress_yy, reference_stress_zz, reference_stress_xy,
    reference_strain_xx, reference_strain_yy, reference_strain_zz, reference_strain_xy
    ]
db_auxiliary_field.data   = [
    2500*kg/m**3,  1000*kg/m**3, 0.001*Pa*s, 0.1, 6.0*GPa, 10.0*GPa, 0.8, 2.0*GPa, 20.0*GPa, 1e-13*m**2,
    -5.0*MPa, -5.0*MPa, -5.0*MPa, 0.0*Pa,
    0.0, 0.0, 0.0, 0.0
    ]

auxiliary_subfields.porosity.basis_order = 1

[pylithapp.problem.materials.intrusion.bulk_rheology]
use_reference_state = True

The changes in the physics as well as the default solver settings that impact the initial guess leads to a large initial residual at the second time step. Consequently, we increase the divergence tolerance for the linear solver.

Listing 231 Adjustment of the divergence tolerance for the linear solver for Step 2.#
[pylithapp.petsc]
# Increase divergence tolerance. Initial guess at second time step is not accurate.
ksp_divtol = 1.0e+5

Running the simulation#

Listing 232 Run Step 2 simulation#
$ pylith step02_inflation_statevars.cfg

# The output should look something like the following.
 >> /software/unix/py3.12-venv/pylith-opt/lib/python3.12/site-packages/pylith/apps/PyLithApp.py:77:main
 -- pylithapp(info)
 -- Running on 1 process(es).
 >> /software/unix/py3.12-venv/pylith-opt/lib/python3.12/site-packages/pylith/meshio/MeshIOObj.py:38:read
 -- meshiocubit(info)
 -- Reading finite-element mesh
 >> /src/cig/pylith/libsrc/pylith/meshio/MeshIOCubit.cc:148:void pylith::meshio::MeshIOCubit::_readVertices(ExodusII &, scalar_array *, int *, int *) const
 -- meshiocubit(info)
 -- Component 'reader': Reading 747 vertices.
 >> /src/cig/pylith/libsrc/pylith/meshio/MeshIOCubit.cc:208:void pylith::meshio::MeshIOCubit::_readCells(ExodusII &, int_array *, int_array *, int *, int *) const
 -- meshiocubit(info)
 -- Component 'reader': Reading 705 cells in 2 blocks.
 >> /src/cig/pylith/libsrc/pylith/meshio/MeshIOCubit.cc:270:void pylith::meshio::MeshIOCubit::_readGroups(ExodusII &)
 -- meshiocubit(info)
 -- Component 'reader': Found 5 node sets.

# -- many lines omitted --

 -- Setting PETSc options:
fieldsplit_displacement_pc_type = lu
fieldsplit_pressure_pc_type = bjacobi
fieldsplit_pressure_t_pc_type = bjacobi
fieldsplit_trace_strain_pc_type = bjacobi
fieldsplit_trace_strain_t_pc_type = bjacobi
fieldsplit_velocity_pc_type = bjacobi
ksp_atol = 1.0e-12
ksp_converged_reason = true
ksp_error_if_not_converged = true
ksp_guess_pod_size = 8
ksp_guess_type = pod
ksp_rtol = 1.0e-12
pc_fieldsplit_0_fields = 2
pc_fieldsplit_1_fields = 1
pc_fieldsplit_2_fields = 0
pc_fieldsplit_3_fields = 3
pc_fieldsplit_4_fields = 4
pc_fieldsplit_5_fields = 5
pc_fieldsplit_type = multiplicative
pc_type = fieldsplit
snes_atol = 1.0e-9
snes_converged_reason = true
snes_error_if_not_converged = true
snes_monitor = true
snes_rtol = 1.0e-12
ts_error_if_step_fails = true
ts_monitor = true
ts_type = beuler

 >> /software/unix/py3.12-venv/pylith-opt/lib/python3.12/site-packages/pylith/problems/TimeDependent.py:132:run
 -- timedependent(info)
 -- Solving problem.
0 TS dt 1. time -1.
    0 SNES Function norm 7.521665654021e-01
    Linear solve converged due to CONVERGED_RTOL iterations 42
    1 SNES Function norm 1.098354113346e-10
  Nonlinear solve converged due to CONVERGED_FNORM_ABS iterations 1

# -- many lines omitted --

50 TS dt 1. time 49.
    0 SNES Function norm 1.583815770737e-01
    Linear solve converged due to CONVERGED_ATOL iterations 11
    1 SNES Function norm 1.554020039416e-11
  Nonlinear solve converged due to CONVERGED_FNORM_ABS iterations 1
51 TS dt 1. time 50.
 >> /software/unix/py3.12-venv/pylith-opt/lib/python3.12/site-packages/pylith/problems/Problem.py:199:finalize
 -- timedependent(info)
 -- Finalizing problem.

The linear solver exhibits similar performance with less than 50 iterations at most time steps. Furthermore, the problem is still linear, so the nonlinear solver converges in one iteration.

Visualizing the results#

In Fig. 166 we use the pylith_viz utility to visualize the pressure field. You can move the slider or use the p and n keys to change the increment or decrement time.

Listing 233 Visualize PyLith output using pylith_viz.#
pylith_viz --filenames=output/step02_inflation_statevars-domain.h5 warp_grid --field=pressure
Solution for Step 2 at t=100 yr. The colors indicate the fluid pressure, and the deformation is exaggerated by a factor of 1000.

Fig. 166 Solution for Step 2 at t=100 yr. The colors of the shaded surface indicate the fluid pressure, and the deformation is exaggerated by a factor of 1000. The reference state gives rise to greater vertical deformation compared to Step 1. The choice of material properties does not lead to significant changes in porosity in either material during the simulation (not shown in the figure).#