From 277410a1240a6520378ecd7a5a0962c9c0af27d2 Mon Sep 17 00:00:00 2001
From: Dmitri Naumov <github@naumov.de>
Date: Tue, 26 Sep 2023 11:59:20 +0200
Subject: [PATCH 1/2] [PL/THM] Explicitly set phi_fr_prev, don't update

The phi_fr_prev variable initialization was not correct.
Setting it explicitly avoids any non-initialized states.
---
 ProcessLib/ThermoHydroMechanics/IntegrationPointData.h |  5 ++---
 .../ThermoHydroMechanicsFEM-impl.h                     | 10 +++++++++-
 2 files changed, 11 insertions(+), 4 deletions(-)

diff --git a/ProcessLib/ThermoHydroMechanics/IntegrationPointData.h b/ProcessLib/ThermoHydroMechanics/IntegrationPointData.h
index 90d240ccd24..794beff556e 100644
--- a/ProcessLib/ThermoHydroMechanics/IntegrationPointData.h
+++ b/ProcessLib/ThermoHydroMechanics/IntegrationPointData.h
@@ -71,15 +71,14 @@ struct IntegrationPointData final
         DisplacementDim>::MaterialStateVariables>
         material_state_variables;
 
-    double phi_fr = 0;
-    double phi_fr_prev;
+    double phi_fr = std::numeric_limits<double>::quiet_NaN();
+    double phi_fr_prev = std::numeric_limits<double>::quiet_NaN();
     double integration_weight;
 
     double porosity;
 
     void pushBackState()
     {
-        phi_fr_prev = phi_fr;
         eps0_prev = eps0;
         eps_prev = eps;
         eps_m_prev = eps_m;
diff --git a/ProcessLib/ThermoHydroMechanics/ThermoHydroMechanicsFEM-impl.h b/ProcessLib/ThermoHydroMechanics/ThermoHydroMechanicsFEM-impl.h
index 5993811df26..02274a65177 100644
--- a/ProcessLib/ThermoHydroMechanics/ThermoHydroMechanicsFEM-impl.h
+++ b/ProcessLib/ThermoHydroMechanics/ThermoHydroMechanicsFEM-impl.h
@@ -389,7 +389,15 @@ ConstitutiveRelationsValues<DisplacementDim> ThermoHydroMechanicsLocalAssembler<
                     vars, MaterialPropertyLib::Variable::temperature,
                     x_position, t, dt);
 
-        double const& phi_fr_prev = ip_data.phi_fr_prev;
+        double const phi_fr_prev = [&]()
+        {
+            MaterialPropertyLib::VariableArray vars_prev;
+            vars_prev.temperature = T_prev_int_pt;
+            return (*medium)[MaterialPropertyLib::PropertyType::volume_fraction]
+                .template value<double>(vars_prev, x_position, t, dt);
+        }();
+        ip_data.phi_fr_prev = phi_fr_prev;
+
         // alpha_T^I
         MathLib::KelvinVector::KelvinVectorType<
             DisplacementDim> const ice_linear_thermal_expansion_coefficient =

From 69ca768c760c492caa2a825fea3b9e22fa5d4c69 Mon Sep 17 00:00:00 2001
From: Dmitri Naumov <dmitri.naumov@ufz.de>
Date: Wed, 4 Oct 2023 10:29:10 +0200
Subject: [PATCH 2/2] [T/THM] Heat transport in stationary flow w/ ice

Presence of ice phase at slightly positive temperatures with shallow
sigmoid function for ice phase should not affect the results much but
only for amount of ice formed. In the simulation the initial ice volume
fraction is 0.0379... . Displacement and stress are read from previous
simulation's steady-state result.

Incorrect update of phi_fr_prev causes pressure to drop significantly in
the first step, which is unexpected, since everything is in equilibrium.
Temperature load starts only after 10 steps at t=10000s.
---
 ProcessLib/ThermoHydroMechanics/Tests.cmake   |   1 +
 .../WithFreezingPhase.prj                     | 404 ++++++++++++++++++
 .../WithFreezingPhase.vtu                     |  81 ++++
 ...WithFreezingPhase_ts_10_t_10000.000000.vtu |  44 ++
 .../WithFreezingPhase_ts_1_t_1000.000000.vtu  |  44 ++
 ...WithFreezingPhase_ts_20_t_20000.000000.vtu |  44 ++
 ...WithFreezingPhase_ts_50_t_50000.000000.vtu |  44 ++
 7 files changed, 662 insertions(+)
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.prj
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.vtu
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_10_t_10000.000000.vtu
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_1_t_1000.000000.vtu
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_20_t_20000.000000.vtu
 create mode 100644 Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_50_t_50000.000000.vtu

diff --git a/ProcessLib/ThermoHydroMechanics/Tests.cmake b/ProcessLib/ThermoHydroMechanics/Tests.cmake
index eb2dc7457bf..29115403fdb 100644
--- a/ProcessLib/ThermoHydroMechanics/Tests.cmake
+++ b/ProcessLib/ThermoHydroMechanics/Tests.cmake
@@ -7,6 +7,7 @@ if (NOT OGS_USE_MPI)
     OgsTest(PROJECTFILE ThermoHydroMechanics/ColumnDeformationFreezing/TM.prj RUNTIME 13)
     OgsTest(PROJECTFILE ThermoHydroMechanics/HeatingHomogeneousDomain/hex_THM.prj RUNTIME 30)
     OgsTest(PROJECTFILE ThermoHydroMechanics/9percentWaterFreezingExpansion/UnitSquare.prj RUNTIME 1)
+    OgsTest(PROJECTFILE ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.prj RUNTIME 1)
 endif()
 
 AddTest(
diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.prj b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.prj
new file mode 100644
index 00000000000..3ed1de4aeb8
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.prj
@@ -0,0 +1,404 @@
+<?xml version='1.0' encoding='ISO-8859-1'?>
+<OpenGeoSysProject>
+    <meshes>
+        <mesh>WithFreezingPhase.vtu</mesh>
+        <mesh>geometry_left.vtu</mesh>
+        <mesh>geometry_right.vtu</mesh>
+        <mesh>geometry_top.vtu</mesh>
+        <mesh>geometry_bottom.vtu</mesh>
+    </meshes>
+    <processes>
+        <process>
+            <name>HeatTransportInStationaryFlow</name>
+            <type>THERMO_HYDRO_MECHANICS</type>
+            <integration_order>2</integration_order>
+            <dimension>2</dimension>
+            <constitutive_relation>
+                <type>LinearElasticIsotropic</type>
+                <youngs_modulus>E</youngs_modulus>
+                <poissons_ratio>nu</poissons_ratio>
+            </constitutive_relation>
+            <ice_constitutive_relation>
+                <type>LinearElasticIsotropic</type>
+                <youngs_modulus>E_ice</youngs_modulus>
+                <poissons_ratio>nu_ice</poissons_ratio>
+            </ice_constitutive_relation>
+            <process_variables>
+                <temperature>temperature</temperature>
+                <pressure>pressure</pressure>
+                <displacement>displacement</displacement>
+            </process_variables>
+            <specific_body_force>0 0</specific_body_force>
+            <secondary_variables>
+                <secondary_variable internal_name="sigma" output_name="sigma"/>
+                <secondary_variable internal_name="sigma_ice" output_name="sigma_ice"/>
+                <secondary_variable internal_name="epsilon" output_name="epsilon"/>
+                <secondary_variable internal_name="velocity" output_name="velocity"/>
+                <secondary_variable internal_name="ice_volume_fraction" output_name="ice_volume_fraction"/>
+            </secondary_variables>
+        </process>
+    </processes>
+    <media>
+        <medium id="0">
+            <phases>
+                <phase>
+                    <type>AqueousLiquid</type>
+                    <properties>
+                        <property>
+                            <name>specific_heat_capacity</name>
+                            <type>Constant</type>
+                            <value>4182</value>
+                        </property>
+                        <property>
+                            <name>thermal_conductivity</name>
+                            <type>Constant</type>
+                            <value>0.6</value>
+                        </property>
+                        <property>
+                            <name>density</name>
+                            <type>Constant</type>
+                            <value>1000</value>
+                        </property>
+                        <property>
+                            <name>viscosity</name>
+                            <type>Constant</type>
+                            <value>1.0e-3</value>
+                        </property>
+                    </properties>
+                </phase>
+                <phase>
+                    <type>FrozenLiquid</type>
+                    <properties>
+                        <property>
+                            <name>thermal_conductivity</name>
+                            <type>Constant</type>
+                            <value>2.2</value>
+                        </property>
+                        <property>
+                            <name>specific_heat_capacity</name>
+                            <type>Constant</type>
+                            <value>2090</value>
+                        </property>
+                        <property>
+                            <name>density</name>
+                            <type>Constant</type>
+                            <value>920</value>
+                        </property>
+                        <property>
+                            <name>specific_latent_heat</name>
+                            <type>Constant</type>
+                            <value>334000</value>
+                        </property>
+                        <property>
+                            <name>thermal_expansivity</name>
+                            <type>Constant</type>
+                            <value>5.5e-5</value>
+                        </property>
+                        <property>
+                            <name>phase_change_expansivity</name>
+                            <type>Constant</type>
+                            <value>0.03</value>
+                        </property>
+                    </properties>
+                </phase>
+                <phase>
+                    <type>Solid</type>
+                    <properties>
+                        <property>
+                            <name>bulk_modulus</name>
+                            <type>Constant</type>
+                            <value>1.0e10</value>
+                        </property>
+                        <property>
+                            <name>density</name>
+                            <type>Constant</type>
+                            <value>2850</value>
+                        </property>
+                        <property>
+                            <name>thermal_conductivity</name>
+                            <type>Constant</type>
+                            <value>5.0</value>
+                        </property>
+                        <property>
+                            <name>specific_heat_capacity</name>
+                            <type>Constant</type>
+                            <value>1e6</value>
+                        </property>
+                        <property>
+                            <name>thermal_expansivity</name>
+                            <type>Constant</type>
+                            <value>0.0</value>
+                        </property>
+                    </properties>
+                </phase>
+            </phases>
+            <properties>
+                <property>
+                    <name>biot_coefficient</name>
+                    <type>Constant</type>
+                    <value>1.0</value>
+                </property>
+                <property>
+                    <name>permeability</name>
+                    <type>Constant</type>
+                    <value>1.e-11</value>
+                </property>
+                <property>
+                    <name>porosity</name>
+                    <type>Constant</type>
+                    <value>0.5</value>
+                </property>
+                <property>
+                    <name>volume_fraction</name>
+                    <type>TemperatureDependentFraction</type>
+                    <steepness>0.5</steepness>
+                    <characteristic_temperature>273.15</characteristic_temperature>
+                </property>
+                <property>
+                    <name>density</name>
+                    <type>VolumeFractionAverage</type>
+                </property>
+                <property>
+                    <name>thermal_conductivity</name>
+                    <type>VolumeFractionAverage</type>
+                </property>
+            </properties>
+        </medium>
+    </media>
+    <time_loop>
+        <processes>
+            <process ref="HeatTransportInStationaryFlow">
+                <nonlinear_solver>basic_newton</nonlinear_solver>
+                <convergence_criterion>
+                    <type>PerComponentDeltaX</type>
+                    <norm_type>NORM2</norm_type>
+                    <abstols>1e-11 1e-8 1e-14 1e-14</abstols>
+                </convergence_criterion>
+                <time_discretization>
+                    <type>BackwardEuler</type>
+                </time_discretization>
+                <time_stepping>
+                    <type>FixedTimeStepping</type>
+                    <t_initial>0</t_initial>
+                    <t_end>5e+4</t_end>
+                    <timesteps>
+                        <pair>
+                            <repeat>250</repeat>
+                            <delta_t>1000</delta_t>
+                        </pair>
+                    </timesteps>
+                </time_stepping>
+            </process>
+        </processes>
+        <output>
+            <type>VTK</type>
+            <prefix>WithFreezingPhase</prefix>
+            <suffix>_ts_{:timestep}_t_{:time}</suffix>
+            <variables>
+            </variables>
+            <fixed_output_times>0 1000 10000 20000 50000</fixed_output_times>
+        </output>
+    </time_loop>
+    <parameters>
+        <parameter>
+            <name>E</name>
+            <type>Constant</type>
+            <value>1e10</value>
+        </parameter>
+        <parameter>
+            <name>nu</name>
+            <type>Constant</type>
+            <value>0.2</value>
+        </parameter>
+        <parameter>
+            <name>E_ice</name>
+            <type>Constant</type>
+            <value>1e10</value>
+        </parameter>
+        <parameter>
+            <name>nu_ice</name>
+            <type>Constant</type>
+            <value>0.2</value>
+        </parameter>
+        <parameter>
+            <name>T0</name>
+            <type>Constant</type>
+            <value>278.15</value>
+        </parameter>
+        <parameter>
+            <name>T_left</name>
+            <type>CurveScaled</type>
+            <parameter>T0</parameter>
+            <curve>temperature_load</curve>
+        </parameter>
+        <parameter>
+            <name>P0</name>
+            <type>Function</type>
+            <expression>1e5 + 1e5*(1-x)</expression>
+        </parameter>
+        <parameter>
+            <name>displacement0</name>
+            <type>MeshNode</type>
+            <field_name>displacement</field_name>
+        </parameter>
+        <parameter>
+            <name>u0</name>
+            <type>Constant</type>
+            <values>0</values>
+        </parameter>
+    </parameters>
+    <curves>
+        <curve>
+            <name>temperature_load</name>
+            <coords>0 10000 20000 50000</coords>
+            <values>1 1     1.15  1.15 </values>
+        </curve>
+    </curves>
+    <process_variables>
+        <process_variable>
+            <name>temperature</name>
+            <components>1</components>
+            <order>1</order>
+            <initial_condition>T0</initial_condition>
+            <boundary_conditions>
+                <boundary_condition>
+                    <mesh>geometry_left</mesh>
+                    <type>Dirichlet</type>
+                    <parameter>T_left</parameter>
+                </boundary_condition>
+            </boundary_conditions>
+        </process_variable>
+        <process_variable>
+            <name>pressure</name>
+            <components>1</components>
+            <order>1</order>
+            <initial_condition>P0</initial_condition>
+            <boundary_conditions>
+                <boundary_condition>
+                    <mesh>geometry_left</mesh>
+                    <type>Dirichlet</type>
+                    <parameter>P0</parameter>
+                </boundary_condition>
+                <boundary_condition>
+                    <mesh>geometry_right</mesh>
+                    <type>Dirichlet</type>
+                    <parameter>P0</parameter>
+                </boundary_condition>
+            </boundary_conditions>
+        </process_variable>
+        <process_variable>
+            <name>displacement</name>
+            <components>2</components>
+            <order>1</order>
+            <initial_condition>displacement0</initial_condition>
+            <boundary_conditions>
+                <boundary_condition>
+                    <mesh>geometry_left</mesh>
+                    <type>Dirichlet</type>
+                    <component>0</component>
+                    <parameter>u0</parameter>
+                </boundary_condition>
+                <boundary_condition>
+                    <mesh>geometry_bottom</mesh>
+                    <type>Dirichlet</type>
+                    <component>1</component>
+                    <parameter>u0</parameter>
+                </boundary_condition>
+                <!--
+                <boundary_condition>
+                    <mesh>geometry_right</mesh>
+                    <type>Dirichlet</type>
+                    <component>0</component>
+                    <parameter>u0</parameter>
+                </boundary_condition>
+                <boundary_condition>
+                    <mesh>geometry_top</mesh>
+                    <type>Dirichlet</type>
+                    <component>1</component>
+                    <parameter>u0</parameter>
+                </boundary_condition>
+                -->
+            </boundary_conditions>
+        </process_variable>
+    </process_variables>
+    <nonlinear_solvers>
+        <nonlinear_solver>
+            <name>basic_newton</name>
+            <type>Newton</type>
+            <max_iter>50</max_iter>
+            <linear_solver>general_linear_solver</linear_solver>
+        </nonlinear_solver>
+    </nonlinear_solvers>
+    <linear_solvers>
+        <linear_solver>
+            <name>general_linear_solver</name>
+            <lis>-i bicgstab -p jacobi -tol 1e-12 -maxiter 10000</lis>
+            <eigen>
+                <solver_type>SparseLU</solver_type>
+                <scaling>1</scaling>
+            </eigen>
+        </linear_solver>
+    </linear_solvers>
+    <test_definition>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>displacement</field>
+            <absolute_tolerance>1e-16</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>epsilon</field>
+            <absolute_tolerance>1e-16</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>sigma</field>
+            <absolute_tolerance>2e-7</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>sigma_ice</field>
+            <absolute_tolerance>7e-6</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>ice_volume_fraction</field>
+            <absolute_tolerance>8e-15</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>pressure</field>
+            <absolute_tolerance>2e-9</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>temperature</field>
+            <absolute_tolerance>1e-12</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>MassFlowRate</field>
+            <absolute_tolerance>1e-16</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>HeatFlowRate</field>
+            <absolute_tolerance>5e-11</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+        <vtkdiff>
+            <regex>WithFreezingPhase_ts_.*.vtu</regex>
+            <field>NodalForces</field>
+            <absolute_tolerance>2e-9</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
+        </vtkdiff>
+    </test_definition>
+</OpenGeoSysProject>
diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.vtu b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.vtu
new file mode 100644
index 00000000000..36f4fa5aaac
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase.vtu
@@ -0,0 +1,81 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+  <UnstructuredGrid>
+    <FieldData>
+      <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="166" format="appended" RangeMin="34"                   RangeMax="125"                  offset="0"                   >
+      </DataArray>
+      <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="18" format="appended" RangeMin="45"                   RangeMax="103"                  offset="176"                 >
+      </DataArray>
+      <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="468" format="appended" RangeMin="148148.75821"         RangeMax="294060.26811"         offset="256"                 >
+        <InformationKey name="L2_NORM_FINITE_RANGE" location="vtkDataArray" length="2">
+          <Value index="0">
+            148148.75821
+          </Value>
+          <Value index="1">
+            294060.26811
+          </Value>
+        </InformationKey>
+        <InformationKey name="L2_NORM_RANGE" location="vtkDataArray" length="2">
+          <Value index="0">
+            148148.75821
+          </Value>
+          <Value index="1">
+            294060.26811
+          </Value>
+        </InformationKey>
+      </DataArray>
+    </FieldData>
+    <Piece NumberOfPoints="160"                  NumberOfCells="117"                 >
+      <PointData>
+        <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="3.8189586759e-07"     offset="17396"               >
+          <InformationKey name="L2_NORM_FINITE_RANGE" location="vtkDataArray" length="2">
+            <Value index="0">
+              0
+            </Value>
+            <Value index="1">
+              3.8189586759e-07
+            </Value>
+          </InformationKey>
+          <InformationKey name="L2_NORM_RANGE" location="vtkDataArray" length="2">
+            <Value index="0">
+              0
+            </Value>
+            <Value index="1">
+              3.8189586759e-07
+            </Value>
+          </InformationKey>
+        </DataArray>
+      </PointData>
+      <CellData>
+      </CellData>
+      <Points>
+        <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0"                    RangeMax="1.0049875621"         offset="20356"               >
+          <InformationKey name="L2_NORM_FINITE_RANGE" location="vtkDataArray" length="2">
+            <Value index="0">
+              0
+            </Value>
+            <Value index="1">
+              1.0049875621
+            </Value>
+          </InformationKey>
+          <InformationKey name="L2_NORM_RANGE" location="vtkDataArray" length="2">
+            <Value index="0">
+              0
+            </Value>
+            <Value index="1">
+              1.0049875621
+            </Value>
+          </InformationKey>
+        </DataArray>
+      </Points>
+      <Cells>
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="21972"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="22816"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="23152"               />
+      </Cells>
+    </Piece>
+  </UnstructuredGrid>
+  <AppendedData encoding="base64">
+   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diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_10_t_10000.000000.vtu b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_10_t_10000.000000.vtu
new file mode 100644
index 00000000000..f31f4d82355
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_10_t_10000.000000.vtu
@@ -0,0 +1,44 @@
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diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_1_t_1000.000000.vtu b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_1_t_1000.000000.vtu
new file mode 100644
index 00000000000..e4bbef99688
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_1_t_1000.000000.vtu
@@ -0,0 +1,44 @@
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AQAAAAAAAAAAgAAAAAAAAIA6AAAAAAAABzIAAAAAAAA=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diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_20_t_20000.000000.vtu b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_20_t_20000.000000.vtu
new file mode 100644
index 00000000000..a70b82b45af
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_20_t_20000.000000.vtu
@@ -0,0 +1,44 @@
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diff --git a/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_50_t_50000.000000.vtu b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_50_t_50000.000000.vtu
new file mode 100644
index 00000000000..4a22d2cbce9
--- /dev/null
+++ b/Tests/Data/ThermoHydroMechanics/Linear/HeatTransportInStationaryFlow/WithFreezingPhase_ts_50_t_50000.000000.vtu
@@ -0,0 +1,44 @@
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AQAAAAAAAAAAgAAAAAAAAIA6AAAAAAAAOzUAAAAAAAA=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