From 4138ca0b06bdd66ad1d2324991c091c55ca16c08 Mon Sep 17 00:00:00 2001
From: Steffen Beese <steffen.beese@bgr.de>
Date: Wed, 21 Jul 2021 10:55:47 +0200
Subject: [PATCH] 	[RM/DSM] change of parameters in ctest file to see the
 features                  of DSM

---
 .../double_porosity_swelling.prj              | 54 +++++++++--------
 ...uble_porosity_swelling_t_100000.000000.vtu | 60 +++++++++----------
 ...ouble_porosity_swelling_t_50000.000000.vtu | 60 +++++++++----------
 3 files changed, 88 insertions(+), 86 deletions(-)

diff --git a/Tests/Data/RichardsMechanics/double_porosity_swelling.prj b/Tests/Data/RichardsMechanics/double_porosity_swelling.prj
index e8fcf098bd6..d25a40f5c0c 100644
--- a/Tests/Data/RichardsMechanics/double_porosity_swelling.prj
+++ b/Tests/Data/RichardsMechanics/double_porosity_swelling.prj
@@ -9,7 +9,7 @@
             <integration_order>2</integration_order>
             <dimension>2</dimension>
             <micro_porosity>
-                <mass_exchange_coefficient>1e-12</mass_exchange_coefficient>
+                <mass_exchange_coefficient>1e-13</mass_exchange_coefficient>
                 <nonlinear_solver>
                     <maximum_iterations>100</maximum_iterations>
                     <residuum_tolerance>1e-8</residuum_tolerance>
@@ -72,7 +72,7 @@
                             <name>swelling_stress_rate</name>
                             <type>SaturationDependentSwelling</type>
                             <swelling_pressures>1e7 1e7 1e7</swelling_pressures>
-                            <exponents>1 1 1</exponents>
+                            <exponents>2 2 2</exponents>
                             <lower_saturation_limit>0</lower_saturation_limit>
                             <upper_saturation_limit>1</upper_saturation_limit>
                         </property>
@@ -95,7 +95,7 @@
                 <property>
                     <name>permeability</name>
                     <type>Constant</type>
-                    <value>1e-21</value>
+                    <value>1e-16</value>
                 </property>
                 <property>
                     <name>porosity</name>
@@ -143,9 +143,11 @@
             <process ref="RM">
                 <nonlinear_solver>nonlinear_solver</nonlinear_solver>
                 <convergence_criterion>
-                    <type>PerComponentDeltaX</type>
                     <norm_type>NORM2</norm_type>
-                    <abstols>1e-3 1e-10 1e-10</abstols>
+                    <type>PerComponentDeltaX</type>
+                    <abstols>5e-8 1e-13 1e-13</abstols>
+                    <!--type>Residual</type>
+                    <abstol>1e-8</abstol-->
                 </convergence_criterion>
                 <compensate_non_equilibrium_initial_residuum>false</compensate_non_equilibrium_initial_residuum>
                 <time_discretization>
@@ -155,8 +157,8 @@
                     <type>IterationNumberBasedTimeStepping</type>
                     <t_initial>0.0</t_initial>
                     <t_end>1e5</t_end>
-                    <initial_dt>100</initial_dt>
-                    <minimum_dt>1</minimum_dt>
+                    <initial_dt>10</initial_dt>
+                    <minimum_dt>0.01</minimum_dt>
                     <maximum_dt>1e3</maximum_dt>
                     <!-- linear function m=1.25-0.025*n omitting m=1, because of stale situation -->
                     <number_iterations>1 2 3 4 5 6 7 8 9 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25</number_iterations>
@@ -171,7 +173,7 @@
             <timesteps>
                 <pair>
                     <repeat>200000</repeat>
-                    <each_steps>1</each_steps>
+                    <each_steps>300</each_steps>
                 </pair>
             </timesteps>
             <variables>
@@ -204,7 +206,7 @@
         <parameter>
             <name>E</name>
             <type>Constant</type>
-            <value>2e9</value>
+            <value>50e6</value>
         </parameter>
         <parameter>
             <name>nu</name>
@@ -253,7 +255,7 @@
         <curve>
             <name>pressure_ramp</name>
             <coords>0.0 1e3  2e4  6e4 8e4 1e5</coords>
-            <values>1e5 1e5 -1e6 -1e6 1e5 1e5</values>
+            <values>1e5 1e5 -1e7 -1e7 1e5 1e5</values>
         </curve>
     </curves>
     <process_variables>
@@ -316,56 +318,56 @@
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>pressure</field>
-            <absolute_tolerance>1e-8</absolute_tolerance>
-            <relative_tolerance>0</relative_tolerance>
+            <absolute_tolerance>1e3</absolute_tolerance>
+            <relative_tolerance>1e-2</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>saturation</field>
-            <absolute_tolerance>1e-14</absolute_tolerance>
+            <absolute_tolerance>2e-3</absolute_tolerance>
             <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>displacement</field>
-            <absolute_tolerance>5e-11</absolute_tolerance>
+            <absolute_tolerance>1e-4</absolute_tolerance>
             <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>sigma</field>
-            <absolute_tolerance>2e-8</absolute_tolerance>
+            <absolute_tolerance>5e3</absolute_tolerance>
             <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>epsilon</field>
-            <absolute_tolerance>1e-14</absolute_tolerance>
+            <absolute_tolerance>1e-4</absolute_tolerance>
             <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>velocity</field>
-            <absolute_tolerance>5e-14</absolute_tolerance>
+            <absolute_tolerance>1e-8</absolute_tolerance>
             <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
             <field>porosity</field>
-            <absolute_tolerance>5e-14</absolute_tolerance>
-            <relative_tolerance>1e-15</relative_tolerance>
+            <absolute_tolerance>2e-5</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
         <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
-            <field>porosity_avg</field>
-            <absolute_tolerance>1e-14</absolute_tolerance>
-            <relative_tolerance>1e-15</relative_tolerance>
+            <field>micro_pressure</field>
+            <absolute_tolerance>5e4</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
-        <vtkdiff>
+       <vtkdiff>
             <regex>double_porosity_swelling_.*.vtu</regex>
-            <field>dry_density_solid</field>
-            <absolute_tolerance>2e-12</absolute_tolerance>
-            <relative_tolerance>2e-15</relative_tolerance>
+            <field>micro_saturation</field>
+            <absolute_tolerance>2e-4</absolute_tolerance>
+            <relative_tolerance>0</relative_tolerance>
         </vtkdiff>
     </test_definition>
 </OpenGeoSysProject>
diff --git a/Tests/Data/RichardsMechanics/double_porosity_swelling_t_100000.000000.vtu b/Tests/Data/RichardsMechanics/double_porosity_swelling_t_100000.000000.vtu
index 5f5a7274b41..f7183cee52f 100644
--- a/Tests/Data/RichardsMechanics/double_porosity_swelling_t_100000.000000.vtu
+++ b/Tests/Data/RichardsMechanics/double_porosity_swelling_t_100000.000000.vtu
@@ -4,48 +4,48 @@
     <FieldData>
       <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="465" format="appended" RangeMin="34"                   RangeMax="125"                  offset="0"                   />
       <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45"                   RangeMax="121"                  offset="232"                 />
-      <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="6.9642928616e-08"     RangeMax="1.5127578064e-05"     offset="324"                 />
-      <DataArray type="Float64" Name="porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.39999130551"        RangeMax="0.40000226964"        offset="9492"                />
-      <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="1"                    RangeMax="1"                    offset="12324"               />
-      <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="65738.734029"         RangeMax="115160.01135"         offset="12416"               />
-      <DataArray type="Float64" Name="swelling_stress_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0"                    RangeMax="2.4166825946e-07"     offset="28388"               />
-      <DataArray type="Float64" Name="transport_porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.29999130551"        RangeMax="0.30000226964"        offset="28936"               />
+      <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0.0011916006116"      RangeMax="0.011086089447"       offset="324"                 />
+      <DataArray type="Float64" Name="porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.39661799861"        RangeMax="0.39956926478"        offset="9400"                />
+      <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.4692238505"         RangeMax="0.99342794252"        offset="12868"               />
+      <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="38813.628109"         RangeMax="355362.88619"         offset="16748"               />
+      <DataArray type="Float64" Name="swelling_stress_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="28860.821707"         RangeMax="714432.05593"         offset="33256"               />
+      <DataArray type="Float64" Name="transport_porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.29795887352"        RangeMax="0.30065669019"        offset="38576"               />
     </FieldData>
     <Piece NumberOfPoints="121"                  NumberOfCells="100"                 >
       <PointData>
-        <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-1.4970314726e-20"    RangeMax="3.6498677647e-07"     offset="31764"               />
-        <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="1847.4143278"         offset="32564"               />
-        <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="5.2674537344e-06"     offset="33260"               />
-        <DataArray type="Float64" Name="dry_density_solid" format="appended" RangeMin="1199.9967342"         RangeMax="1200.019895"          offset="35676"               />
-        <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="8.8284097459e-08"     RangeMax="1.5040645887e-05"     offset="36632"               />
-        <DataArray type="Float64" Name="micro_pressure" format="appended" RangeMin="205.56039301"         RangeMax="100000"               offset="40556"               />
-        <DataArray type="Float64" Name="micro_saturation" format="appended" RangeMin="1"                    RangeMax="1"                    offset="40892"               />
-        <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.39999005248"        RangeMax="0.40000163291"        offset="41000"               />
-        <DataArray type="Float64" Name="pressure" format="appended" RangeMin="20027.818806"         RangeMax="121406.22386"         offset="41972"               />
-        <DataArray type="Float64" Name="pressure_interpolated" format="appended" RangeMin="20027.818806"         RangeMax="121406.22386"         offset="42988"               />
-        <DataArray type="Float64" Name="saturation" format="appended" RangeMin="1"                    RangeMax="1"                    offset="44004"               />
-        <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="65334.343834"         RangeMax="111180.11152"         offset="44112"               />
-        <DataArray type="Float64" Name="swelling_stress" NumberOfComponents="4" format="appended" RangeMin="0"                    RangeMax="2.8506504773e-07"     offset="49072"               />
-        <DataArray type="Float64" Name="transport_porosity" format="appended" RangeMin="0.29999005248"        RangeMax="0.30000163291"        offset="49500"               />
-        <DataArray type="Float64" Name="velocity" NumberOfComponents="2" format="appended" RangeMin="3.3723439211e-17"     RangeMax="7.9972181194e-13"     offset="50468"               />
+        <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-3.6083603553e-19"    RangeMax="0.00010237033545"     offset="42080"               />
+        <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="1.0168459892e-12"     RangeMax="14845.810211"         offset="42700"               />
+        <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="0.005294515357"       offset="43864"               />
+        <DataArray type="Float64" Name="dry_density_solid" format="appended" RangeMin="1200.7524467"         RangeMax="1206.8100757"         offset="46248"               />
+        <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0.001185992546"       RangeMax="0.011149663322"       offset="47400"               />
+        <DataArray type="Float64" Name="micro_pressure" format="appended" RangeMin="-2088209.4837"        RangeMax="122186.36903"         offset="51292"               />
+        <DataArray type="Float64" Name="micro_saturation" format="appended" RangeMin="0.97891237972"        RangeMax="1.0009925493"         offset="52608"               />
+        <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.39659496213"        RangeMax="0.39962377667"        offset="53736"               />
+        <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1885258.0662"        RangeMax="100000"               offset="54920"               />
+        <DataArray type="Float64" Name="pressure_interpolated" format="appended" RangeMin="-1885258.0662"        RangeMax="100000"               offset="56148"               />
+        <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.4683522441"         RangeMax="1.0577394169"         offset="57376"               />
+        <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="50355.296683"         RangeMax="367488.10831"         offset="58652"               />
+        <DataArray type="Float64" Name="swelling_stress" NumberOfComponents="4" format="appended" RangeMin="27175.059652"         RangeMax="720277.50116"         offset="63732"               />
+        <DataArray type="Float64" Name="transport_porosity" format="appended" RangeMin="0.29746244409"        RangeMax="0.30071351528"        offset="65456"               />
+        <DataArray type="Float64" Name="velocity" NumberOfComponents="2" format="appended" RangeMin="5.2767233807e-08"     RangeMax="1.0196982103e-06"     offset="66636"               />
       </PointData>
       <CellData>
-        <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0"                    RangeMax="0"                    offset="53000"               />
-        <DataArray type="Float64" Name="porosity_avg" format="appended" RangeMin="0.39999365604"        RangeMax="0.40000138862"        offset="53064"               />
-        <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="1"                    RangeMax="1"                    offset="53888"               />
-        <DataArray type="Float64" Name="stress_avg" NumberOfComponents="4" format="appended" RangeMin="71587.434775"         RangeMax="112034.69577"         offset="53960"               />
+        <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0"                    RangeMax="0"                    offset="69176"               />
+        <DataArray type="Float64" Name="porosity_avg" format="appended" RangeMin="0.39677899867"        RangeMax="0.39949479859"        offset="69240"               />
+        <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.47009331849"        RangeMax="0.91739135847"        offset="70236"               />
+        <DataArray type="Float64" Name="stress_avg" NumberOfComponents="4" format="appended" RangeMin="40307.935796"         RangeMax="348828.63872"         offset="71328"               />
       </CellData>
       <Points>
-        <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0"                    RangeMax="1.4142135624"         offset="58072"               />
+        <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0"                    RangeMax="1.4142135624"         offset="75544"               />
       </Points>
       <Cells>
-        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="58608"               />
-        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="59332"               />
-        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="59640"               />
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="76080"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="76804"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="77112"               />
       </Cells>
     </Piece>
   </UnstructuredGrid>
   <AppendedData encoding="base64">
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AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAdQ8AAAAAAAA=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diff --git a/Tests/Data/RichardsMechanics/double_porosity_swelling_t_50000.000000.vtu b/Tests/Data/RichardsMechanics/double_porosity_swelling_t_50000.000000.vtu
index cca5e93cf49..0f0a89cd769 100644
--- a/Tests/Data/RichardsMechanics/double_porosity_swelling_t_50000.000000.vtu
+++ b/Tests/Data/RichardsMechanics/double_porosity_swelling_t_50000.000000.vtu
@@ -4,48 +4,48 @@
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       <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="465" format="appended" RangeMin="34"                   RangeMax="125"                  offset="0"                   />
       <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="27" format="appended" RangeMin="45"                   RangeMax="121"                  offset="232"                 />
-      <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="1.7362287597e-07"     RangeMax="4.0552678209e-05"     offset="324"                 />
-      <DataArray type="Float64" Name="porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.39998133172"        RangeMax="0.40000236406"        offset="9488"                />
-      <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.79553650342"        RangeMax="1"                    offset="12356"               />
-      <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="40420.373911"         RangeMax="122250.25791"         offset="12824"               />
-      <DataArray type="Float64" Name="swelling_stress_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0"                    RangeMax="50013.980081"         offset="28916"               />
-      <DataArray type="Float64" Name="transport_porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.29998420019"        RangeMax="0.30000236406"        offset="29604"               />
+      <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="0.0011336066903"      RangeMax="0.094230445236"       offset="324"                 />
+      <DataArray type="Float64" Name="porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.3711562549"         RangeMax="0.40272020488"        offset="9456"                />
+      <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="400" format="appended" RangeMin="0.10396081085"        RangeMax="0.99686892854"        offset="13304"               />
+      <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="49864.291878"         RangeMax="3935102.3083"         offset="17300"               />
+      <DataArray type="Float64" Name="swelling_stress_ip" NumberOfComponents="4" NumberOfTuples="400" format="appended" RangeMin="1060.6534983"         RangeMax="8245189.4798"         offset="33912"               />
+      <DataArray type="Float64" Name="transport_porosity_ip" NumberOfTuples="400" format="appended" RangeMin="0.29667765741"        RangeMax="0.31331218498"        offset="39256"               />
     </FieldData>
     <Piece NumberOfPoints="121"                  NumberOfCells="100"                 >
       <PointData>
-        <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-1.3251827574e-09"    RangeMax="4.5570437413e-16"     offset="32480"               />
-        <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="2577.841821"          offset="33224"               />
-        <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="1.428749115e-05"      offset="34120"               />
-        <DataArray type="Float64" Name="dry_density_solid" format="appended" RangeMin="1199.9966345"         RangeMax="1200.0379931"         offset="36536"               />
-        <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="2.9043615092e-07"     RangeMax="4.2812382184e-05"     offset="37504"               />
-        <DataArray type="Float64" Name="micro_pressure" format="appended" RangeMin="-999954.31615"        RangeMax="114315.84688"         offset="41432"               />
-        <DataArray type="Float64" Name="micro_saturation" format="appended" RangeMin="0.99607749268"        RangeMax="1.0004870528"         offset="41736"               />
-        <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.39998100347"        RangeMax="0.40000168274"        offset="42012"               />
-        <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-1000000"             RangeMax="128616.97764"         offset="43000"               />
-        <DataArray type="Float64" Name="pressure_interpolated" format="appended" RangeMin="-1000000"             RangeMax="128616.97764"         offset="44076"               />
-        <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.72289420516"        RangeMax="1.0333230313"         offset="45152"               />
-        <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="52373.890477"         RangeMax="124766.9849"          offset="45448"               />
-        <DataArray type="Float64" Name="swelling_stress" NumberOfComponents="4" format="appended" RangeMin="0"                    RangeMax="67939.819691"         offset="50424"               />
-        <DataArray type="Float64" Name="transport_porosity" format="appended" RangeMin="0.29998806182"        RangeMax="0.30000168274"        offset="50828"               />
-        <DataArray type="Float64" Name="velocity" NumberOfComponents="2" format="appended" RangeMin="1.1537668445e-17"     RangeMax="1.1286169776e-11"     offset="51816"               />
+        <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-0.00020649818638"    RangeMax="7.4538899358e-19"     offset="43048"               />
+        <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="133973.4668"          offset="43652"               />
+        <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0"                    RangeMax="0.048962019524"       offset="44700"               />
+        <DataArray type="Float64" Name="dry_density_solid" format="appended" RangeMin="1193.7214066"         RangeMax="1259.3587933"         offset="47108"               />
+        <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="0.001468229757"       RangeMax="0.096997582979"       offset="48380"               />
+        <DataArray type="Float64" Name="micro_pressure" format="appended" RangeMin="-9999485.4598"        RangeMax="-75572.921176"        offset="52280"               />
+        <DataArray type="Float64" Name="micro_saturation" format="appended" RangeMin="0.70658363278"        RangeMax="0.99997156062"        offset="53624"               />
+        <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.37032060334"        RangeMax="0.40313929668"        offset="54816"               />
+        <DataArray type="Float64" Name="pressure" format="appended" RangeMin="-10000000"            RangeMax="-76577.757043"        offset="56104"               />
+        <DataArray type="Float64" Name="pressure_interpolated" format="appended" RangeMin="-10000000"            RangeMax="-76577.757043"        offset="57360"               />
+        <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0.0986472965"         RangeMax="0.99709251661"        offset="58616"               />
+        <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="42916.958984"         RangeMax="4270237.1845"         offset="59928"               />
+        <DataArray type="Float64" Name="swelling_stress" NumberOfComponents="4" format="appended" RangeMin="985.15453907"         RangeMax="8661017.4596"         offset="65032"               />
+        <DataArray type="Float64" Name="transport_porosity" format="appended" RangeMin="0.29654357905"        RangeMax="0.31482943393"        offset="66752"               />
+        <DataArray type="Float64" Name="velocity" NumberOfComponents="2" format="appended" RangeMin="1.1595742298e-08"     RangeMax="2.0640882617e-06"     offset="68036"               />
       </PointData>
       <CellData>
-        <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0"                    RangeMax="0"                    offset="54344"               />
-        <DataArray type="Float64" Name="porosity_avg" format="appended" RangeMin="0.39998313969"        RangeMax="0.40000146684"        offset="54408"               />
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-        <DataArray type="Float64" Name="stress_avg" NumberOfComponents="4" format="appended" RangeMin="49877.706384"         RangeMax="113387.13657"         offset="55420"               />
+        <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0"                    RangeMax="0"                    offset="70528"               />
+        <DataArray type="Float64" Name="porosity_avg" format="appended" RangeMin="0.37229785405"        RangeMax="0.40217768657"        offset="70592"               />
+        <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0.11120111659"        RangeMax="0.9965621999"         offset="71676"               />
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-        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="61116"               />
+        <DataArray type="Int64" Name="connectivity" format="appended" RangeMin=""                     RangeMax=""                     offset="77560"               />
+        <DataArray type="Int64" Name="offsets" format="appended" RangeMin=""                     RangeMax=""                     offset="78284"               />
+        <DataArray type="UInt8" Name="types" format="appended" RangeMin=""                     RangeMax=""                     offset="78592"               />
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AQAAAAAAAAAAgAAAAAAAAIAMAAAAAAAAJQsAAAAAAAA=eF4VlnlcjVsbhlVU56BUSkkIjZJModJDckRUmoRSIkUqskuT5slJkzIlKmNKdVSkiKhUNBC110I4hkSEfBoO6bv99fyu9917vWtfz/2sdyd35mQv8uW0Nzuy3HIPp84Ho7SjwamyCmYnwG8eSukG7OUUW2AmdhjX15SOK90h4JTZeigjFtc7SjKlyJ+TYvTDbA8/TueTjvqKBuD6nrXTdPZxctUUTkgL4mRjrhDaGsipx72qwWs/J3cfk00FIZwm605WDQ/nVDnQ7vQyjNOwa9rF+mhOeicfKGuhrnGpKJKN53Suzjv4VByuh9akTk7i1DduUXpeIqfQY4GvrVI5fV5z0H0sqkm3TZX1cU5jfyR5S6PeVxxtrpfJSad82Qd51MFrPy3FznMSmRUs9v4c9lsxMTo6l9OONfdPB6NmbRj86FPCabxCtaw76pBamPmrK5xkadPsJlS7hIdPAqs4zRmf2bINtbr7cMNBeLJ+fexxqzenuWl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AQAAAAAAAAAAgAAAAAAAAAAyAAAAAAAAhg8AAAAAAAA=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