From e73a736410d3cfd78edf381f99b933d29a68bd35 Mon Sep 17 00:00:00 2001 From: renchao_lu <renchao.lu@gmail.com> Date: Fri, 24 Jun 2022 17:16:56 +0200 Subject: [PATCH] [T] monolithic decay chain problem. --- ProcessLib/ComponentTransport/Tests.cmake | 1 + .../GlobalImplicitApproach/1d_decay_chain.prj | 498 ++++++++++++++++++ .../GlobalImplicitApproach/1d_decay_chain.vtu | 23 + .../1d_decay_chain_ReactiveDomain.vtu | 25 + .../1d_decay_chain_downstream.vtu | 24 + ...cay_chain_ts_100_t_315360000000.000000.vtu | 36 ++ ...decay_chain_ts_10_t_31536000000.000000.vtu | 36 ++ .../1d_decay_chain_upstream.vtu | 24 + 8 files changed, 667 insertions(+) create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.prj create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.vtu create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ReactiveDomain.vtu create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_downstream.vtu create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ts_100_t_315360000000.000000.vtu create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ts_10_t_31536000000.000000.vtu create mode 100644 Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_upstream.vtu diff --git a/ProcessLib/ComponentTransport/Tests.cmake b/ProcessLib/ComponentTransport/Tests.cmake index a9d3f841566..0e6b1bd0d9a 100644 --- a/ProcessLib/ComponentTransport/Tests.cmake +++ b/ProcessLib/ComponentTransport/Tests.cmake @@ -783,6 +783,7 @@ if (NOT OGS_USE_MPI) OgsTest(PROJECTFILE Parabolic/ComponentTransport/ReactiveTransport/CationExchange/exchange.prj RUNTIME 60) OgsTest(PROJECTFILE Parabolic/ComponentTransport/ReactiveTransport/CationExchange/exchangeAndSurface.prj RUNTIME 33) OgsTest(PROJECTFILE Parabolic/ComponentTransport/ReactiveTransport/DecayChain/1d_decay_chain.prj RUNTIME 500) + OgsTest(PROJECTFILE Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.prj RUNTIME 5) OgsTest(PROJECTFILE Parabolic/ComponentTransport/ThermalDiffusion/TemperatureField_transport.prj RUNTIME 27) endif() diff --git a/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.prj b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.prj new file mode 100644 index 00000000000..a386afa0352 --- /dev/null +++ b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.prj @@ -0,0 +1,498 @@ +<?xml version="1.0" encoding="ISO-8859-1"?> +<OpenGeoSysProject> + <meshes> + <mesh>1d_decay_chain.vtu</mesh> + <mesh>1d_decay_chain_upstream.vtu</mesh> + <mesh>1d_decay_chain_downstream.vtu</mesh> + <mesh>1d_decay_chain_ReactiveDomain.vtu</mesh> + </meshes> + <processes> + <process> + <name>hc</name> + <type>ComponentTransport</type> + <integration_order>2</integration_order> + <process_variables> + <concentration>[Cm-247]</concentration> + <concentration>[Am-243]</concentration> + <concentration>[Pu-239]</concentration> + <concentration>[U-235]</concentration> + <concentration>[Pa-231]</concentration> + <concentration>[Ac-227]</concentration> + <pressure>pressure</pressure> + </process_variables> + <specific_body_force>0</specific_body_force> + </process> + </processes> + <media> + <medium id="0"> + <phases> + <phase> + <type>AqueousLiquid</type> + <components> + <component> + <name>[Cm-247]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + <component> + <name>[Am-243]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + <component> + <name>[Pu-239]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + <component> + <name>[U-235]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + <component> + <name>[Pa-231]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + <component> + <name>[Ac-227]</name> + <properties> + <property> + <name>pore_diffusion</name> + <type>Constant</type> + <value>1e-11</value> + </property> + <property> + <name>retardation_factor</name> + <type>Constant</type> + <value>1</value> + </property> + <property> + <name>decay_rate</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </component> + </components> + <properties> + <property> + <name>density</name> + <type>Constant</type> + <value>1e3</value> + </property> + <property> + <name>viscosity</name> + <type>Constant</type> + <value>1e-3</value> + </property> + </properties> + </phase> + </phases> + <properties> + <property> + <name>permeability</name> + <type>Parameter</type> + <parameter_name>kappa</parameter_name> + </property> + <property> + <name>porosity</name> + <type>Parameter</type> + <parameter_name>porosity</parameter_name> + </property> + <property> + <name>longitudinal_dispersivity</name> + <type>Constant</type> + <value>0</value> + </property> + <property> + <name>transversal_dispersivity</name> + <type>Constant</type> + <value>0</value> + </property> + </properties> + </medium> + </media> + <time_loop> + <processes> + <process ref="hc"> + <nonlinear_solver>basic_picard</nonlinear_solver> + <convergence_criterion> + <type>PerComponentDeltaX</type> + <norm_type>NORM2</norm_type> + <reltols>1e-14 1e-14 1e-14 1e-14 1e-14 1e-14 1e-14</reltols> + </convergence_criterion> + <time_discretization> + <type>BackwardEuler</type> + </time_discretization> + <time_stepping> + <type>FixedTimeStepping</type> + <t_initial>0.0</t_initial> + <t_end>3.1536e11</t_end> + <timesteps> + <pair> + <repeat>100</repeat> + <delta_t>3.1536e9</delta_t> + </pair> + </timesteps> + </time_stepping> + </process> + </processes> + <output> + <type>VTK</type> + <prefix>1d_decay_chain</prefix> + <suffix>_ts_{:timestep}_t_{:time}</suffix> + <timesteps> + <pair> + <repeat>1</repeat> + <each_steps>10</each_steps> + </pair> + <pair> + <repeat>1</repeat> + <each_steps>90</each_steps> + </pair> + </timesteps> + <variables> + <variable>[Cm-247]</variable> + <variable>[Am-243]</variable> + <variable>[Pu-239]</variable> + <variable>[U-235]</variable> + <variable>[Pa-231]</variable> + <variable>[Ac-227]</variable> + <variable>pressure</variable> + </variables> + </output> + </time_loop> + <chemical_system chemical_solver="SelfContained"> + <mesh>1d_decay_chain_ReactiveDomain</mesh> + <linear_solver>general_linear_solver</linear_solver> + <number_of_components>6</number_of_components> + <chemical_reactions> + <chemical_reaction> + <!-- 0 = -1 [Cm-247] + 1 [Am-243] --> + <stoichiometric_coefficients>-1 1 0 0 0 0</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t1_half_life = 1.56e7 years; + LOG(2) / t1_half_life / 3.1536e7 secs--> + <first_order_rate_constant>1.4089456993390242e-15</first_order_rate_constant> + </chemical_reaction> + <chemical_reaction> + <!-- 0 = -1 [Am-243] + 1 [Pu-239] --> + <stoichiometric_coefficients>0 -1 1 0 0 0</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t2_half_life = 7.37e3 years; + k2 = LOG(2) / t2_half_life / 3.1536e7 secs--> + <first_order_rate_constant>2.982300259116523e-12</first_order_rate_constant> + </chemical_reaction> + <chemical_reaction> + <!-- 0 = -1 [Pu-239] + 1 [U-235] --> + <stoichiometric_coefficients>0 0 -1 1 0 0</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t3_half_life = 2.41e4 years; + k3 = LOG(2) / t3_half_life / 3.1536e7 secs--> + <first_order_rate_constant>9.120146435555509e-13</first_order_rate_constant> + </chemical_reaction> + <chemical_reaction> + <!-- 0 = -1 [U-235] + 1 [Pa-231] --> + <stoichiometric_coefficients>0 0 0 -1 1 0</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t4_half_life = 7.04e8 years; + k4 = LOG(2) / t4_half_life / 3.1536e7 secs--> + <first_order_rate_constant>3.1220955837626104e-17</first_order_rate_constant> + </chemical_reaction> + <chemical_reaction> + <!-- 0 = -1 [Pa-231] + 1 [Ac-227] --> + <stoichiometric_coefficients>0 0 0 0 -1 1</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t5_half_life = 3.28e4 years; + k5 = LOG(2) / t5_half_life / 3.1536e7 secs--> + <first_order_rate_constant>6.701083204173407e-13</first_order_rate_constant> + </chemical_reaction> + <chemical_reaction> + <!-- 0 = -1 [Ac-227] + 1 [n] --> + <stoichiometric_coefficients>0 0 0 0 0 -1</stoichiometric_coefficients> + <reaction_type>FirstOrderReaction</reaction_type> + <!-- t6_half_life = 21.773 years; + k6 = LOG(2) / t6_half_life / 3.1536e7 secs--> + <first_order_rate_constant>1.0094866536393138e-9</first_order_rate_constant> + </chemical_reaction> + </chemical_reactions> + </chemical_system> + <parameters> + <parameter> + <name>kappa</name> + <type>Constant</type> + <values>1.157e-12</values> + </parameter> + <parameter> + <name>porosity</name> + <type>Constant</type> + <value>1</value> + </parameter> + <parameter> + <name>p0</name> + <type>Constant</type> + <value>0</value> + </parameter> + <parameter> + <name>p_upstream</name> + <type>Constant</type> + <value>1e5</value> + </parameter> + <parameter> + <name>p_downstream_Neumann</name> + <type>Constant</type> + <value>0</value> + </parameter> + <parameter> + <name>c0_H</name> + <type>Constant</type> + <value>1e-7</value> + </parameter> + <parameter> + <name>c0_default</name> + <type>Constant</type> + <value>0</value> + </parameter> + <parameter> + <name>c_H</name> + <type>Constant</type> + <value>1e-7</value> + </parameter> + <parameter> + <name>c_default</name> + <type>Constant</type> + <value>1</value> + </parameter> + </parameters> + <process_variables> + <process_variable> + <name>pressure</name> + <components>1</components> + <order>1</order> + <initial_condition>p0</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_ReactiveDomain</mesh> + <type>Dirichlet</type> + <parameter>p0</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[Cm-247]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[Am-243]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[Pu-239]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[U-235]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[Pa-231]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + <process_variable> + <name>[Ac-227]</name> + <components>1</components> + <order>1</order> + <initial_condition>c0_default</initial_condition> + <boundary_conditions> + <boundary_condition> + <mesh>1d_decay_chain_upstream</mesh> + <type>Dirichlet</type> + <parameter>c_default</parameter> + </boundary_condition> + </boundary_conditions> + </process_variable> + </process_variables> + <nonlinear_solvers> + <nonlinear_solver> + <name>basic_picard</name> + <type>Picard</type> + <max_iter>10</max_iter> + <linear_solver>general_linear_solver</linear_solver> + </nonlinear_solver> + </nonlinear_solvers> + <linear_solvers> + <linear_solver> + <name>general_linear_solver</name> + <lis>-i cg -p jacobi -tol 1e-16 -maxiter 20000</lis> + <eigen> + <solver_type>BiCGSTAB</solver_type> + <precon_type>ILUT</precon_type> + <max_iteration_step>10000</max_iteration_step> + <error_tolerance>1e-14</error_tolerance> + </eigen> + <petsc> + <prefix>hc</prefix> + <parameters>-hc_ksp_type bcgs -hc_pc_type bjacobi -hc_ksp_rtol 1e-8 -hc_ksp_max_it 20000</parameters> + </petsc> + </linear_solver> + </linear_solvers> + <test_definition> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[Cm-247]</field> + <absolute_tolerance>1e-10</absolute_tolerance> + <relative_tolerance>1e-10</relative_tolerance> + </vtkdiff> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[Am-243]</field> + <absolute_tolerance>1e-10</absolute_tolerance> + <relative_tolerance>1e-16</relative_tolerance> + </vtkdiff> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[Pu-239]</field> + <absolute_tolerance>1e-10</absolute_tolerance> + <relative_tolerance>1e-16</relative_tolerance> + </vtkdiff> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[U-235]</field> + <absolute_tolerance>1e-10</absolute_tolerance> + <relative_tolerance>1e-16</relative_tolerance> + </vtkdiff> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[Pa-231]</field> + <absolute_tolerance>1e-10</absolute_tolerance> + <relative_tolerance>1e-16</relative_tolerance> + </vtkdiff> + <vtkdiff> + <regex>1d_decay_chain_ts_[0-9]*_t_[0-9]*.000000.vtu</regex> + <field>[Ac-227]</field> + <absolute_tolerance>1e-9</absolute_tolerance> + <relative_tolerance>1e-16</relative_tolerance> + </vtkdiff> + </test_definition> +</OpenGeoSysProject> diff --git a/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.vtu b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.vtu new file mode 100644 index 00000000000..0ba82926829 --- /dev/null +++ b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain.vtu @@ -0,0 +1,23 @@ +<?xml version="1.0"?> +<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" 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+ </AppendedData> +</VTKFile> diff --git a/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ReactiveDomain.vtu b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ReactiveDomain.vtu new file mode 100644 index 00000000000..3f82a3d89e0 --- /dev/null +++ b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_ReactiveDomain.vtu @@ -0,0 +1,25 @@ +<?xml version="1.0"?> +<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64"> + <UnstructuredGrid> + <Piece NumberOfPoints="601" NumberOfCells="600" > + <PointData> + <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="600" offset="0" /> + </PointData> + <CellData> + <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0" RangeMax="0" offset="6424" /> + <DataArray type="UInt64" 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AQAAAAAAAAAAgAAAAAAAAMgSAAAAAAAAexIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAMgSAAAAAAAArxIAAAAAAAA=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AQAAAAAAAAAAgAAAAAAAAMgSAAAAAAAAsBIAAAAAAAA=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+ </AppendedData> +</VTKFile> diff --git a/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_upstream.vtu b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_upstream.vtu new file mode 100644 index 00000000000..03fc506c11d --- /dev/null +++ b/Tests/Data/Parabolic/ComponentTransport/ReactiveTransport/DecayChain/GlobalImplicitApproach/1d_decay_chain_upstream.vtu @@ -0,0 +1,24 @@ +<?xml version="1.0"?> +<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64"> + <UnstructuredGrid> + <Piece NumberOfPoints="1" NumberOfCells="1" > + <PointData> + <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="0" offset="0" /> + </PointData> + <CellData> + <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="0" RangeMax="0" offset="24" /> + </CellData> + <Points> + <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="0" offset="48" /> + </Points> + <Cells> + <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="92" /> + <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="116" /> + <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="140" /> + </Cells> + </Piece> + </UnstructuredGrid> + <AppendedData encoding="base64"> + _CAAAAAAAAAAAAAAAAAAAAA==CAAAAAAAAAAAAAAAAAAAAA==GAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=CAAAAAAAAAAAAAAAAAAAAA==CAAAAAAAAAABAAAAAAAAAA==AQAAAAAAAAAB + </AppendedData> +</VTKFile> -- GitLab