diff --git a/Documentation/ProjectFile/prj/processes/process/SMALL_DEFORMATION_WITH_LIE/t_use_b_bar.md b/Documentation/ProjectFile/prj/processes/process/SMALL_DEFORMATION_WITH_LIE/t_use_b_bar.md
new file mode 100644
index 0000000000000000000000000000000000000000..e32944fd6bfce3ad73be0fe807cde69daaf708a4
--- /dev/null
+++ b/Documentation/ProjectFile/prj/processes/process/SMALL_DEFORMATION_WITH_LIE/t_use_b_bar.md
@@ -0,0 +1 @@
+\copydoc ProcessLib::LIE::SmallDeformation::SmallDeformationProcessData::use_b_bar
diff --git a/ProcessLib/LIE/SmallDeformation/CreateSmallDeformationProcess.cpp b/ProcessLib/LIE/SmallDeformation/CreateSmallDeformationProcess.cpp
index 6b80d734f3c66340c5773b6f1a493cc0768884cc..899d1bd95fc92f97f738f433dbbe2a8d038d3189 100644
--- a/ProcessLib/LIE/SmallDeformation/CreateSmallDeformationProcess.cpp
+++ b/ProcessLib/LIE/SmallDeformation/CreateSmallDeformationProcess.cpp
@@ -181,10 +181,13 @@ std::unique_ptr<Process> createSmallDeformationProcess(
config.getConfigParameter<double>(
"reference_temperature", std::numeric_limits<double>::quiet_NaN());
+ //! \ogs_file_param{prj__processes__process__SMALL_DEFORMATION_WITH_LIE__use_b_bar}
+ auto const use_b_bar = config.getConfigParameter<bool>("use_b_bar", false);
+
SmallDeformationProcessData<DisplacementDim> process_data{
- materialIDs(mesh), std::move(solid_constitutive_relations),
+ materialIDs(mesh), std::move(solid_constitutive_relations),
std::move(fracture_model), std::move(fracture_properties),
- reference_temperature};
+ reference_temperature, use_b_bar};
SecondaryVariableCollection secondary_variables;
diff --git a/ProcessLib/LIE/SmallDeformation/LocalAssembler/IntegrationPointDataMatrix.h b/ProcessLib/LIE/SmallDeformation/LocalAssembler/IntegrationPointDataMatrix.h
index 985b16a753477c058ebaccdd94444777b3cf6984..dd5d7a79060ebaed1301f804dfff9d25d9c195c0 100644
--- a/ProcessLib/LIE/SmallDeformation/LocalAssembler/IntegrationPointDataMatrix.h
+++ b/ProcessLib/LIE/SmallDeformation/LocalAssembler/IntegrationPointDataMatrix.h
@@ -44,8 +44,8 @@ struct IntegrationPointDataMatrix final
typename BMatricesType::KelvinMatrixType _C;
double integration_weight;
- typename ShapeMatricesType::NodalRowVectorType N;
- typename ShapeMatricesType::GlobalDimNodalMatrixType dNdx;
+ typename ShapeMatricesType::NodalRowVectorType N_u;
+ typename ShapeMatricesType::GlobalDimNodalMatrixType dNdx_u;
void pushBackState()
{
diff --git a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix-impl.h b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix-impl.h
index ac303ab98f267d8944aa7b0bb2076a39e979558a..f79e1721477e228f3bea8b410c458b22611db324 100644
--- a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix-impl.h
+++ b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix-impl.h
@@ -67,8 +67,8 @@ SmallDeformationLocalAssemblerMatrix<ShapeFunction, DisplacementDim>::
_ip_data.emplace_back(solid_material);
auto& ip_data = _ip_data[ip];
auto const& sm = shape_matrices[ip];
- ip_data.N = sm.N;
- ip_data.dNdx = sm.dNdx;
+ ip_data.N_u = sm.N;
+ ip_data.dNdx_u = sm.dNdx;
ip_data.integration_weight =
_integration_method.getWeightedPoint(ip).getWeight() *
sm.integralMeasure * sm.detJ;
@@ -115,21 +115,23 @@ void SmallDeformationLocalAssemblerMatrix<ShapeFunction, DisplacementDim>::
ParameterLib::SpatialPosition x_position;
x_position.setElementID(_element.getID());
+ auto const B_dil_bar = getDilatationalBBarMatrix();
+
for (unsigned ip = 0; ip < n_integration_points; ip++)
{
x_position.setIntegrationPoint(ip);
auto const& w = _ip_data[ip].integration_weight;
- auto const& N = _ip_data[ip].N;
- auto const& dNdx = _ip_data[ip].dNdx;
+ auto const& N = _ip_data[ip].N_u;
+ auto const& dNdx = _ip_data[ip].dNdx_u;
auto const x_coord =
NumLib::interpolateXCoordinate<ShapeFunction, ShapeMatricesType>(
_element, N);
- auto const B =
- LinearBMatrix::computeBMatrix<DisplacementDim,
- ShapeFunction::NPOINTS,
- typename BMatricesType::BMatrixType>(
- dNdx, N, x_coord, _is_axially_symmetric);
+
+ auto const B = LinearBMatrix::computeBMatrixPossiblyWithBbar<
+ DisplacementDim, ShapeFunction::NPOINTS, BBarMatrixType,
+ typename BMatricesType::BMatrixType>(dNdx, N, B_dil_bar, x_coord,
+ this->_is_axially_symmetric);
auto const& eps_prev = _ip_data[ip]._eps_prev;
auto const& sigma_prev = _ip_data[ip]._sigma_prev;
diff --git a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix.h b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix.h
index 9ea94d6e3153d2aca058138a81299a073f29132e..f50175d38fe393fafb6abf50807462fd388a5940 100644
--- a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix.h
+++ b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrix.h
@@ -10,6 +10,7 @@
#pragma once
+#include <optional>
#include <vector>
#include "IntegrationPointDataMatrix.h"
@@ -41,6 +42,7 @@ public:
using NodalVectorType = typename ShapeMatricesType::NodalVectorType;
using ShapeMatrices = typename ShapeMatricesType::ShapeMatrices;
using BMatricesType = BMatrixPolicyType<ShapeFunction, DisplacementDim>;
+ using BBarMatrixType = typename BMatricesType::BBarMatrixType;
using StiffnessMatrixType = typename BMatricesType::StiffnessMatrixType;
using NodalForceVectorType = typename BMatricesType::NodalForceVectorType;
@@ -148,6 +150,20 @@ private:
MeshLib::Element const& _element;
bool const _is_axially_symmetric;
SecondaryData<typename ShapeMatrices::ShapeType> _secondary_data;
+
+ std::optional<BBarMatrixType> getDilatationalBBarMatrix() const
+ {
+ if (!(_process_data.use_b_bar))
+ {
+ return std::nullopt;
+ }
+
+ return LinearBMatrix::computeDilatationalBbar<
+ DisplacementDim, ShapeFunction::NPOINTS, ShapeFunction,
+ BBarMatrixType, ShapeMatricesType, IntegrationPointDataType>(
+ _ip_data, this->_element, this->_integration_method,
+ this->_is_axially_symmetric);
+ }
};
} // namespace SmallDeformation
diff --git a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture-impl.h b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture-impl.h
index 00ad793ba9f3a6d6f4fbd5b415abc81479cfc01d..6e10cacb439207117a32580bb6b20e3f4ab6101b 100644
--- a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture-impl.h
+++ b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture-impl.h
@@ -82,8 +82,8 @@ SmallDeformationLocalAssemblerMatrixNearFracture<ShapeFunction,
_ip_data.emplace_back(solid_material);
auto& ip_data = _ip_data[ip];
auto const& sm = shape_matrices[ip];
- ip_data.N = sm.N;
- ip_data.dNdx = sm.dNdx;
+ ip_data.N_u = sm.N;
+ ip_data.dNdx_u = sm.dNdx;
ip_data.integration_weight =
_integration_method.getWeightedPoint(ip).getWeight() *
sm.integralMeasure * sm.detJ;
@@ -201,6 +201,8 @@ void SmallDeformationLocalAssemblerMatrixNearFracture<
ParameterLib::SpatialPosition x_position;
x_position.setElementID(_element.getID());
+ auto const B_dil_bar = getDilatationalBBarMatrix();
+
for (unsigned ip = 0; ip < n_integration_points; ip++)
{
x_position.setIntegrationPoint(ip);
@@ -208,8 +210,8 @@ void SmallDeformationLocalAssemblerMatrixNearFracture<
auto& ip_data = _ip_data[ip];
auto const& w = _ip_data[ip].integration_weight;
- auto const& N = ip_data.N;
- auto const& dNdx = ip_data.dNdx;
+ auto const& N = ip_data.N_u;
+ auto const& dNdx = ip_data.dNdx_u;
// levelset functions
Eigen::Vector3d const ip_physical_coords(
@@ -229,11 +231,10 @@ void SmallDeformationLocalAssemblerMatrixNearFracture<
auto const x_coord =
NumLib::interpolateXCoordinate<ShapeFunction, ShapeMatricesType>(
_element, N);
- auto const B =
- LinearBMatrix::computeBMatrix<DisplacementDim,
- ShapeFunction::NPOINTS,
- typename BMatricesType::BMatrixType>(
- dNdx, N, x_coord, _is_axially_symmetric);
+ auto const B = LinearBMatrix::computeBMatrixPossiblyWithBbar<
+ DisplacementDim, ShapeFunction::NPOINTS, BBarMatrixType,
+ typename BMatricesType::BMatrixType>(dNdx, N, B_dil_bar, x_coord,
+ this->_is_axially_symmetric);
// strain, stress
auto const& eps_prev = ip_data._eps_prev;
diff --git a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture.h b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture.h
index 0d1e76f817572a14c28b3d77830ad54b4f86eba0..099ac8814cdba785ff5951545c48a95371e2a287 100644
--- a/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture.h
+++ b/ProcessLib/LIE/SmallDeformation/LocalAssembler/SmallDeformationLocalAssemblerMatrixNearFracture.h
@@ -44,6 +44,7 @@ public:
using NodalVectorType = typename ShapeMatricesType::NodalVectorType;
using ShapeMatrices = typename ShapeMatricesType::ShapeMatrices;
using BMatricesType = BMatrixPolicyType<ShapeFunction, DisplacementDim>;
+ using BBarMatrixType = typename BMatricesType::BBarMatrixType;
using BMatrixType = typename BMatricesType::BMatrixType;
using StiffnessMatrixType = typename BMatricesType::StiffnessMatrixType;
@@ -158,6 +159,20 @@ private:
MeshLib::Element const& _element;
bool const _is_axially_symmetric;
SecondaryData<typename ShapeMatrices::ShapeType> _secondary_data;
+
+ std::optional<BBarMatrixType> getDilatationalBBarMatrix() const
+ {
+ if (!(_process_data.use_b_bar))
+ {
+ return std::nullopt;
+ }
+
+ return LinearBMatrix::computeDilatationalBbar<
+ DisplacementDim, ShapeFunction::NPOINTS, ShapeFunction,
+ BBarMatrixType, ShapeMatricesType, IntegrationPointDataType>(
+ _ip_data, this->_element, this->_integration_method,
+ this->_is_axially_symmetric);
+ }
};
} // namespace SmallDeformation
diff --git a/ProcessLib/LIE/SmallDeformation/SmallDeformationProcessData.h b/ProcessLib/LIE/SmallDeformation/SmallDeformationProcessData.h
index aee0519a68707b540ac6feabfc7c1dde9da6b409..34a2cd3f2c84502a8536f6c65e0cf78448d8fb15 100644
--- a/ProcessLib/LIE/SmallDeformation/SmallDeformationProcessData.h
+++ b/ProcessLib/LIE/SmallDeformation/SmallDeformationProcessData.h
@@ -46,6 +46,10 @@ struct SmallDeformationProcessData
double const reference_temperature;
+ /// An indicator to use the B bar method \cite hughes1980generalization to
+ /// tackle the volumetric locking.
+ const bool use_b_bar;
+
std::vector<JunctionProperty> junction_properties = {};
MeshLib::PropertyVector<int> const* mesh_prop_materialIDs = nullptr;
diff --git a/ProcessLib/LIE/SmallDeformation/Tests.cmake b/ProcessLib/LIE/SmallDeformation/Tests.cmake
index 84eb25f7efc7d8b4c5d5329888e83d83ed0f561d..007d6afdd14b6efce3cf1c1ef65b2d1ecdeb6484 100644
--- a/ProcessLib/LIE/SmallDeformation/Tests.cmake
+++ b/ProcessLib/LIE/SmallDeformation/Tests.cmake
@@ -142,3 +142,20 @@ AddTest(
sfrac_ts_1_t_1.000000.vtu sfrac_ts_1_t_1.000000.vtu displacement_jump4 displacement_jump4 1e-16 1e-16
sfrac_ts_1_t_1.000000.vtu sfrac_ts_1_t_1.000000.vtu fracture_stress_avg fracture_stress_avg 1e-6 5e-6
)
+
+AddTest(
+ NAME LIE_M_great_cell_2D_point_injection_embedded_fracture_F_PMMA
+ PATH LIE/Mechanics/GreatCellWithBBar
+ EXECUTABLE ogs
+ EXECUTABLE_ARGS mechanics_embedded_fracture_F.prj
+ WRAPPER time
+ TESTER vtkdiff
+ REQUIREMENTS NOT OGS_USE_MPI
+ DIFF_DATA
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu displacement displacement 1e-15 1e-15
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu displacement_jump1 displacement_jump1 1e-15 1e-15
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu sigma sigma 1e-8 1e-11
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu epsilon epsilon 1e-15 1e-15
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu fracture_stress fracture_stress 5e-8 1e-11
+ mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu fracture_aperture fracture_aperture 1e-15 1e-15
+)
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG1.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG1.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..5706c0d8b3a80679c6cca523f27a645e344314df
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG1.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="9" NumberOfCells="8" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="0" RangeMax="239" offset="0" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="2063" RangeMax="2129" offset="108" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.09894003955" RangeMax="0.1" offset="204" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="688" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _SAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAgAAAAAAAADqAAAAAAAAAOsAAAAAAAAA7AAAAAAAAADtAAAAAAAAAO4AAAAAAAAA7wAAAAAAAAA=QAAAAAAAAAAPCAAAAAAAAFEIAAAAAAAAUAgAAAAAAAA/CAAAAAAAAD4IAAAAAAAARggAAAAAAABHCAAAAAAAABgIAAAAAAAA2AAAAAAAAADJkCFqIlS5P2UE5tVZvY2/AAAAAAAAAADJkCFqIlS5PwAAAAAAAAAAAAAAAAAAAADJkCFqIlS5P2UE5tVZvY0/AAAAAAAAAADJkCFqIlS5P8GSbGADToa/AAAAAAAAAADJkCFqIlS5P9tW5tVZvX2/AAAAAAAAAADJkCFqIlS5PxtW5tVZvW2/AAAAAAAAAADJkCFqIlS5Pya45dVZvW0/AAAAAAAAAADJkCFqIlS5P6yv5dVZvX0/AAAAAAAAAADJkCFqIlS5P0xubGADToY/AAAAAAAAAAA=gAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAwAAAAAAAAAEAAAAAAAAAAQAAAAAAAAABQAAAAAAAAAFAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAGAAAAAAAAAAYAAAAAAAAABwAAAAAAAAAHAAAAAAAAAAgAAAAAAAAACAAAAAAAAAACAAAAAAAAAA==QAAAAAAAAAACAAAAAAAAAAQAAAAAAAAABgAAAAAAAAAIAAAAAAAAAAoAAAAAAAAADAAAAAAAAAAOAAAAAAAAABAAAAAAAAAACAAAAAAAAAADAwMDAwMDAw==
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG10.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG10.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..f4da50fa633833b661b331a3e0401b55b2aa0de6
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG10.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="9" NumberOfCells="8" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="28" RangeMax="295" offset="0" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="2176" RangeMax="2211" offset="108" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.09894003955" RangeMax="0.1" offset="204" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="688" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _SAAAAAAAAAAcAAAAAAAAAB0AAAAAAAAAHgAAAAAAAAAiAQAAAAAAACMBAAAAAAAAJAEAAAAAAAAlAQAAAAAAACYBAAAAAAAAJwEAAAAAAAA=QAAAAAAAAACACAAAAAAAAJQIAAAAAAAAnwgAAAAAAACXCAAAAAAAAJ0IAAAAAAAAowgAAAAAAACVCAAAAAAAAIEIAAAAAAAA2AAAAAAAAABzpaYFX/q1v/tNHUgyQao/AAAAAAAAAAAKV18gj2a3v1R/Kdy9YqM/AAAAAAAAAAChCBg7v9K4v1tha+CSCJk/AAAAAAAAAAA30VQMa1W2v11dIC2Viag/AAAAAAAAAADI/AITd7C2v7VtIxL40aY/AAAAAAAAAADgKbEZgwu3v692JvdaGqU/AAAAAAAAAACNgg0nm8G3v/KPLMEgq6E/AAAAAAAAAAD5rbstpxy4v/1BX0wH558/AAAAAAAAAAAr22k0s3e4v/ZSZRbNd5w/AAAAAAAAAAA=gAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAwAAAAAAAAAEAAAAAAAAAAQAAAAAAAAABQAAAAAAAAAFAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAGAAAAAAAAAAYAAAAAAAAABwAAAAAAAAAHAAAAAAAAAAgAAAAAAAAACAAAAAAAAAACAAAAAAAAAA==QAAAAAAAAAACAAAAAAAAAAQAAAAAAAAABgAAAAAAAAAIAAAAAAAAAAoAAAAAAAAADAAAAAAAAAAOAAAAAAAAABAAAAAAAAAACAAAAAAAAAADAwMDAwMDAw==
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG11.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG11.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..be558f479a8e90cf9a972a1c6eabff53d35a4f1d
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG11.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="9" NumberOfCells="8" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="24" RangeMax="287" offset="0" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="2071" RangeMax="2145" offset="108" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.09894003955" RangeMax="0.1" offset="204" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="688" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _SAAAAAAAAAAYAAAAAAAAABkAAAAAAAAAGgAAAAAAAAAaAQAAAAAAABsBAAAAAAAAHAEAAAAAAAAdAQAAAAAAAB4BAAAAAAAAHwEAAAAAAAA=QAAAAAAAAAAXCAAAAAAAAFwIAAAAAAAAXggAAAAAAABdCAAAAAAAAF8IAAAAAAAAYAgAAAAAAABhCAAAAAAAABwIAAAAAAAA2AAAAAAAAAD91I58FpCuvyWq4SzoibQ/AAAAAAAAAABSipS1+eixv1KKlLX56LE/AAAAAAAAAAAlquEs6Im0v/3UjnwWkK4/AAAAAAAAAAC1YDW4jeCvv0lkDo+s4bM/AAAAAAAAAAB09e15gpiwvzAfO/FwObM/AAAAAAAAAAAUQMEXvkCxv5DUZ1M1kbI/AAAAAAAAAADx0GdTNZGyv7NDwRe+QLE/AAAAAAAAAAAvFzvxcDmzv3X97XmCmLA/AAAAAAAAAACFXw6PrOGzvz1qNbiN4K8/AAAAAAAAAAA=gAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAwAAAAAAAAAEAAAAAAAAAAQAAAAAAAAABQAAAAAAAAAFAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAGAAAAAAAAAAYAAAAAAAAABwAAAAAAAAAHAAAAAAAAAAgAAAAAAAAACAAAAAAAAAACAAAAAAAAAA==QAAAAAAAAAACAAAAAAAAAAQAAAAAAAAABgAAAAAAAAAIAAAAAAAAAAoAAAAAAAAADAAAAAAAAAAOAAAAAAAAABAAAAAAAAAACAAAAAAAAAADAwMDAwMDAw==
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG12.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG12.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..b0f64c718ce1fba7f7cc3eaa85d4453b2737d3ba
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG12.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="9" NumberOfCells="8" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="20" RangeMax="279" offset="0" />
+ </PointData>
+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="2174" RangeMax="2213" offset="108" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.09894003955" RangeMax="0.1" offset="204" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="688" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ _SAAAAAAAAAAUAAAAAAAAABUAAAAAAAAAFgAAAAAAAAASAQAAAAAAABMBAAAAAAAAFAEAAAAAAAAVAQAAAAAAABYBAAAAAAAAFwEAAAAAAAA=QAAAAAAAAAB+CAAAAAAAAJIIAAAAAAAAoQgAAAAAAACZCAAAAAAAAJsIAAAAAAAApQgAAAAAAACTCAAAAAAAAH8IAAAAAAAA2AAAAAAAAABbYWvgkgiZv6EIGDu/0rg/AAAAAAAAAABUfyncvWKjvwpXXyCPZrc/AAAAAAAAAAD7TR1IMkGqv3OlpgVf+rU/AAAAAAAAAABEQmUWzXecv+XcaTSzd7g/AAAAAAAAAACwHF9MB+efv9axuy2nHLg/AAAAAAAAAADOhyzBIKuhvzyEDSebwbc/AAAAAAAAAABobSb3Whqlv8wrsRmDC7c/AAAAAAAAAABgWyMS+NGmv5UAAxN3sLY/AAAAAAAAAAAxVCAtlYmovx3TVAxrVbY/AAAAAAAAAAA=gAAAAAAAAAAAAAAAAAAAAAMAAAAAAAAAAwAAAAAAAAAEAAAAAAAAAAQAAAAAAAAABQAAAAAAAAAFAAAAAAAAAAEAAAAAAAAAAQAAAAAAAAAGAAAAAAAAAAYAAAAAAAAABwAAAAAAAAAHAAAAAAAAAAgAAAAAAAAACAAAAAAAAAACAAAAAAAAAA==QAAAAAAAAAACAAAAAAAAAAQAAAAAAAAABgAAAAAAAAAIAAAAAAAAAAoAAAAAAAAADAAAAAAAAAAOAAAAAAAAABAAAAAAAAAACAAAAAAAAAADAwMDAwMDAw==
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG13.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG13.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..68425af6ded38e606dae6148734be5e1a8dc3bc7
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG13.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG14.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG14.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..6c0cef5fe4c113e5b7370a5f5f09c2b538483617
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG14.vtu
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+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG15.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG15.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..14f05a7208e2aecd7e80d285f38aaf95ce1d9a5a
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG15.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG16.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG16.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..6db0382968e4366740def4cf8d335365d0fa8d13
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG16.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG2.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG2.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..2928450a5bbec04576b90ed9a10947748f2af0bd
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG2.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG3.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG3.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..e5b6373b14e741474d601c72697b425f3fb602e3
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG3.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG4.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG4.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..25b61978d5e6177dee278ea1175439047ad2a6fa
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG4.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG5.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG5.vtu
new file mode 100644
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+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG5.vtu
@@ -0,0 +1,24 @@
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG6.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG6.vtu
new file mode 100644
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+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG6.vtu
@@ -0,0 +1,24 @@
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG7.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG7.vtu
new file mode 100644
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG8.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG8.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..ed746700b6874bb34e6f28ed3360de275603084a
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG8.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG9.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG9.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..73151cb717f4171a9dc958c1c353e65f16c6848e
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_BAG9.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="9" NumberOfCells="8" >
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+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.09894003955" RangeMax="0.1" offset="204" />
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="504" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="688" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="784" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP1.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP1.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..4bf58d22ea00ce632f0ac99f6a691e6b2fcd4943
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP1.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
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+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="34" RangeMax="2103" offset="64" />
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+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.099871902349" RangeMax="0.1" offset="120" />
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="292" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="388" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP10.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP10.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..b1f35784d9b176bce54db5edabbc20b5d40b29aa
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP10.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
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+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="26" RangeMax="289" offset="0" />
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+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="22" RangeMax="2086" offset="64" />
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="292" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP11.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP11.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..aa11a1a51eb5124cd66a6ee63bc6e52c12c9224e
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP11.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
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+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="22" RangeMax="281" offset="0" />
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+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="12" RangeMax="2093" offset="64" />
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+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.099871902349" RangeMax="0.1" offset="120" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP12.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP12.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..2ca9658b5801d240b1c01c1024524614d684975b
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP12.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP13.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP13.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..5c3fe0798d5dcdd9b9e2e01c84854a44c7059651
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP13.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP14.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP14.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..96e15b886a1812f3732faf360f43c7063055c273
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP14.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP15.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP15.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..060f5a298095de6a3c81fe8005d692f5d011254b
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP15.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ </AppendedData>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP16.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP16.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..2da7011da1883616d65b0203f2bae6061a1449d0
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP16.vtu
@@ -0,0 +1,24 @@
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP2.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP2.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..36925adde8fdcb0d97eabf0499bc759d335c1a3a
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP2.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="292" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="388" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP3.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP3.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..65f1ed6b2bd0d1ce5162d859d200b96b50aa5486
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP3.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="54" RangeMax="345" offset="0" />
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+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="32" RangeMax="2109" offset="64" />
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="388" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ <AppendedData encoding="base64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP4.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP4.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..02aaeddfb71f27b88b06557e4f0196ace9bee141
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP4.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
+ <PointData>
+ <DataArray type="UInt64" Name="bulk_node_ids" format="appended" RangeMin="50" RangeMax="337" offset="0" />
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+ <CellData>
+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="28" RangeMax="2105" offset="64" />
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="292" />
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ <AppendedData encoding="base64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP5.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP5.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..a43fc69040ed0d4b397f12e4f5c9bd1b5cb9c727
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP5.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
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+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="36" RangeMax="2104" offset="64" />
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+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0.099871902349" RangeMax="0.1" offset="120" />
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+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="292" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="388" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP6.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP6.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..daf8fbf94e5d7383b1aae0ca3ab98e9006c2501e
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP6.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
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+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="40" RangeMax="2108" offset="64" />
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+ <AppendedData encoding="base64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP7.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP7.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..e431e96dd634312e9e3c4aa4f07d13a9e091f987
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP7.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
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+ <DataArray type="UInt64" Name="bulk_element_ids" format="appended" RangeMin="30" RangeMax="2106" offset="64" />
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+ <Points>
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+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="388" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP8.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP8.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..b2da7578919502cd7843c616096e8bd316e3d7e8
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP8.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP9.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP9.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..687249b18b36a3148ad43a57c19b1d6a61dbdd55
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_STRIP9.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
+ <UnstructuredGrid>
+ <Piece NumberOfPoints="5" NumberOfCells="4" >
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+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="444" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_fracture_center.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_fracture_center.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..48ebe010f97d1abf18658fa0345de91918bd9a69
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_fracture_center.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_injection_position.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_injection_position.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..a297f6a24ed73d6a4ea9a3e1d46cd4694e618486
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_injection_position.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_outflow_position.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_outflow_position.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..8009047edbd34ec52b2dd5227033fbc40520105d
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_outflow_position.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64">
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_p_bottom.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_p_bottom.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..d824d17f3a5c316deb3e62fd599dcaa07ccdd963
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2D_p_bottom.vtu
@@ -0,0 +1,24 @@
+<?xml version="1.0"?>
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diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2d_mesh.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2d_mesh.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..2bec703a4c043a9c50e6d36baf9710629f4a6e39
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/2d_mesh.vtu
@@ -0,0 +1,23 @@
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F.prj b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F.prj
new file mode 100644
index 0000000000000000000000000000000000000000..0da292d222157abb67e3466a328f77ffe1e23e6d
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F.prj
@@ -0,0 +1,800 @@
+<?xml version='1.0' encoding='ISO-8859-1'?>
+<OpenGeoSysProject>
+ <meshes>
+ <mesh>2d_mesh.vtu</mesh>
+ <mesh>2D_STRIP1.vtu</mesh>
+ <mesh>2D_STRIP2.vtu</mesh>
+ <mesh>2D_STRIP3.vtu</mesh>
+ <mesh>2D_STRIP4.vtu</mesh>
+ <mesh>2D_STRIP5.vtu</mesh>
+ <mesh>2D_STRIP6.vtu</mesh>
+ <mesh>2D_STRIP7.vtu</mesh>
+ <mesh>2D_STRIP8.vtu</mesh>
+ <mesh>2D_STRIP9.vtu</mesh>
+ <mesh>2D_STRIP10.vtu</mesh>
+ <mesh>2D_STRIP11.vtu</mesh>
+ <mesh>2D_STRIP12.vtu</mesh>
+ <mesh>2D_STRIP13.vtu</mesh>
+ <mesh>2D_STRIP14.vtu</mesh>
+ <mesh>2D_STRIP15.vtu</mesh>
+ <mesh>2D_STRIP16.vtu</mesh>
+ <mesh>2D_BAG1.vtu</mesh>
+ <mesh>2D_BAG2.vtu</mesh>
+ <mesh>2D_BAG3.vtu</mesh>
+ <mesh>2D_BAG4.vtu</mesh>
+ <mesh>2D_BAG5.vtu</mesh>
+ <mesh>2D_BAG6.vtu</mesh>
+ <mesh>2D_BAG7.vtu</mesh>
+ <mesh>2D_BAG8.vtu</mesh>
+ <mesh>2D_BAG9.vtu</mesh>
+ <mesh>2D_BAG10.vtu</mesh>
+ <mesh>2D_BAG11.vtu</mesh>
+ <mesh>2D_BAG12.vtu</mesh>
+ <mesh>2D_BAG13.vtu</mesh>
+ <mesh>2D_BAG14.vtu</mesh>
+ <mesh>2D_BAG15.vtu</mesh>
+ <mesh>2D_BAG16.vtu</mesh>
+ <mesh>2D_p_bottom.vtu</mesh>
+ <mesh>2D_injection_position.vtu</mesh>
+ <mesh>2D_outflow_position.vtu</mesh>
+ </meshes>
+ <processes>
+ <process>
+ <name>M</name>
+ <type>SMALL_DEFORMATION_WITH_LIE</type>
+ <integration_order>3</integration_order>
+ <use_b_bar>true</use_b_bar>
+ <process_variables>
+ <process_variable>displacement</process_variable>
+ <process_variable>displacement_jump1</process_variable>
+ </process_variables>
+ <constitutive_relation id="0">
+ <type>LinearElasticIsotropic</type>
+ <youngs_modulus>E1</youngs_modulus>
+ <poissons_ratio>nu1</poissons_ratio>
+ </constitutive_relation>
+ <constitutive_relation id="1">
+ <type>LinearElasticIsotropic</type>
+ <youngs_modulus>E2</youngs_modulus>
+ <poissons_ratio>nu2</poissons_ratio>
+ </constitutive_relation>
+ <fracture_model>
+ <type>LinearElasticIsotropic</type>
+ <normal_stiffness>Kn</normal_stiffness>
+ <shear_stiffness>Ks</shear_stiffness>
+ <penalty_aperture_cutoff>1e-9</penalty_aperture_cutoff>
+ <tension_cutoff>1</tension_cutoff>
+ </fracture_model>
+ <fracture_properties>
+ <material_id>2</material_id>
+ <initial_aperture>aperture0</initial_aperture>
+ </fracture_properties>
+ <secondary_variables>
+ <secondary_variable internal_name="sigma" output_name="sigma"/>
+ <secondary_variable internal_name="epsilon" output_name="epsilon"/>
+ <secondary_variable internal_name="fracture_aperture" output_name="fracture_aperture"/>
+ <secondary_variable internal_name="fracture_stress" output_name="fracture_stress"/>
+ </secondary_variables>
+ </process>
+ </processes>
+ <time_loop>
+ <processes>
+ <process ref="M">
+ <nonlinear_solver>basic_newton_u</nonlinear_solver>
+ <convergence_criterion>
+ <type>DeltaX</type>
+ <norm_type>NORM2</norm_type>
+ <abstol>1e-13</abstol>
+ </convergence_criterion>
+ <time_discretization>
+ <type>BackwardEuler</type>
+ </time_discretization>
+ <time_stepping>
+ <type>FixedTimeStepping</type>
+ <t_initial>0</t_initial>
+ <t_end>1</t_end>
+ <timesteps>
+ <pair>
+ <repeat>1</repeat>
+ <delta_t>1.0</delta_t>
+ </pair>
+ </timesteps>
+ </time_stepping>
+ </process>
+ </processes>
+ <output>
+ <type>VTK</type>
+ <prefix>mechanics_embedded_fracture_F_PMMA</prefix>
+ <variables>
+ <variable>MaterialIDs</variable>
+ <variable>displacement</variable>
+ <variable>displacement_jump1</variable>
+ <variable>fracture_stress</variable>
+ <variable>fracture_aperture</variable>
+ <variable>sigma</variable>
+ <variable>epsilon</variable>
+ <variable>levelset1</variable>
+ </variables>
+ <output_iteration_results>false</output_iteration_results>
+ <timesteps>
+ <pair>
+ <repeat>1</repeat>
+ <each_steps>1</each_steps>
+ </pair>
+ </timesteps>
+ </output>
+ </time_loop>
+ <parameters>
+ <parameter>
+ <name>E1</name>
+ <type>Constant</type>
+ <value>3850000000.0</value>
+ </parameter>
+ <parameter>
+ <name>nu1</name>
+ <type>Constant</type>
+ <value>0.4</value>
+ </parameter>
+ <parameter>
+ <name>E2</name>
+ <type>Constant</type>
+ <value>1e8</value>
+ </parameter>
+ <parameter>
+ <name>nu2</name>
+ <type>Constant</type>
+ <value>0.4</value>
+ </parameter>
+ <parameter>
+ <name>rho_sr</name>
+ <type>Group</type>
+ <group_id_property>MaterialIDs</group_id_property>
+ <index_values>
+ <index>0</index>
+ <value>2650</value>
+ </index_values>
+ <index_values>
+ <index>1</index>
+ <value>2650</value>
+ </index_values>
+ <index_values>
+ <index>2</index>
+ <value>2650</value>
+ </index_values>
+ <!--type>Constant</type>
+ <value>2650</value-->
+ </parameter>
+ <parameter>
+ <name>rho_fr</name>
+ <type>Constant</type>
+ <value>1e3</value>
+ </parameter>
+ <parameter>
+ <name>mu</name>
+ <type>Constant</type>
+ <value>1e-3</value>
+ </parameter>
+ <!-- Fracture properties -->
+ <parameter>
+ <name>f_thickness</name>
+ <type>Constant</type>
+ <value>1.0</value>
+ </parameter>
+ <parameter>
+ <name>aperture0</name>
+ <type>Constant</type>
+ <value>1e-5</value>
+ </parameter>
+ <parameter>
+ <name>Kn</name>
+ <type>Constant</type>
+ <!--value>100e9</value-->
+ <value>10000000000.0</value>
+ </parameter>
+ <parameter>
+ <name>Ks</name>
+ <type>Constant</type>
+ <!--value>100e9</value-->
+ <value>5000000000.0</value>
+ </parameter>
+ <parameter>
+ <name>effective_stress0</name>
+ <type>Constant</type>
+ <values>-3e6 -3e6 -3e6 0</values>
+ <!--values>0.0 0.0 0.0 0 0 0 </values-->
+ </parameter>
+ <parameter>
+ <name>fracture_effective_stress0</name>
+ <type>Constant</type>
+ <values>0.0 -2e6</values>
+ <!--values>0 0 0.0</values-->
+ </parameter>
+ <!-- initial values -->
+ <parameter>
+ <name>u0</name>
+ <type>Constant</type>
+ <values>0 0</values>
+ </parameter>
+ <parameter>
+ <name>zero</name>
+ <type>Constant</type>
+ <value>0</value>
+ </parameter>
+ <parameter>
+ <name>loading</name>
+ <type>Constant</type>
+ <value>1</value>
+ </parameter>
+ <parameter>
+ <name>BAG_1_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_1_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_2_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_2_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_3_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_3_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_5_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_5_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_4_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_4_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_6_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_6_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_7_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_7_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_8_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_8_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_9_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_9_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_10_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_10_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_11_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_11_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_12_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_12_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_13_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_13_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_14_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_14_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_15_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_15_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>BAG_16_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>BAG_16_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_1_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_1_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_2_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_2_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_3_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_3_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_5_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_5_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_4_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_4_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_6_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_6_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_7_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_7_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_8_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_8_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_9_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_9_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_10_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_10_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_11_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_11_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_12_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_12_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_13_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_13_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_14_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_14_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_15_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_15_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ <parameter>
+ <name>STRIP_16_SURFACE_CURVE</name>
+ <type>CurveScaled</type>
+ <curve>STRIP_16_SURFACE_CURVE</curve>
+ <parameter>loading</parameter>
+ </parameter>
+ </parameters>
+ <curves>
+ <curve>
+ <name>BAG_1_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-3820000.0 -3820000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_2_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-7800000.0 -7800000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_3_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-9950000.0 -9950000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_4_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-10000000.0 -10000000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_5_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-6640000.0 -6640000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_6_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-4460000.0 -4460000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_7_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1170000.0 -1170000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_8_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1000000.0 -1000000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_9_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-3820000.0 -3820000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_10_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-7800000.0 -7800000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_11_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-9950000.0 -9950000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_12_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-10000000.0 -10000000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_13_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-6640000.0 -6640000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_14_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-4460000.0 -4460000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_15_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1170000.0 -1170000.0</values>
+ </curve>
+ <curve>
+ <name>BAG_16_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1000000.0 -1000000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_1_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-5810000.0 -5810000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_2_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-8875000.0 -8875000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_3_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-9975000.0 -9975000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_4_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-8320000.0 -8320000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_5_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-5550000.0 -5550000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_6_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-2815000.0 -2815000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_7_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1085000.0 -1085000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_8_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-3405000.0 -3405000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_9_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-5810000.0 -5810000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_10_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-8875000.0 -8875000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_11_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-9975000.0 -9975000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_12_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-8320000.0 -8320000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_13_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-5550000.0 -5550000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_14_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-2815000.0 -2815000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_15_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-1085000.0 -1085000.0</values>
+ </curve>
+ <curve>
+ <name>STRIP_16_SURFACE_CURVE</name>
+ <coords>0.0 1.0</coords>
+ <values>-3405000.0 -3405000.0</values>
+ </curve>
+ </curves>
+ <process_variables>
+ <process_variable>
+ <name>displacement</name>
+ <components>2</components>
+ <order>1</order>
+ <initial_condition>u0</initial_condition>
+ <boundary_conditions>
+ <boundary_condition>
+ <mesh>2D_injection_position</mesh>
+ <type>Dirichlet</type>
+ <component>0</component>
+ <parameter>zero</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_injection_position</mesh>
+ <type>Dirichlet</type>
+ <component>1</component>
+ <parameter>zero</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_p_bottom</mesh>
+ <type>Dirichlet</type>
+ <component>0</component>
+ <parameter>zero</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG1</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_1_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG2</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_2_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG3</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_3_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG4</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_4_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG5</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_5_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG6</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_6_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG7</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_7_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG8</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_8_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG9</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_9_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG10</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_10_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG11</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_11_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG12</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_12_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG13</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_13_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG14</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_14_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG15</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_15_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_BAG16</mesh>
+ <type>NormalTraction</type>
+ <parameter>BAG_16_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP1</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_1_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP2</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_2_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP3</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_3_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP4</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_4_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP5</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_5_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP6</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_6_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP7</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_7_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP8</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_8_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP9</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_9_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP10</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_10_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP11</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_11_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP12</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_12_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP13</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_13_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP14</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_14_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP15</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_15_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ <boundary_condition>
+ <mesh>2D_STRIP16</mesh>
+ <type>NormalTraction</type>
+ <parameter>STRIP_16_SURFACE_CURVE</parameter>
+ </boundary_condition>
+ </boundary_conditions>
+ </process_variable>
+ <process_variable>
+ <name>displacement_jump1</name>
+ <components>2</components>
+ <order>1</order>
+ <initial_condition>u0</initial_condition>
+ <boundary_conditions>
+ </boundary_conditions>
+ </process_variable>
+ </process_variables>
+ <nonlinear_solvers>
+ <nonlinear_solver>
+ <name>basic_newton_u</name>
+ <type>Newton</type>
+ <max_iter>659</max_iter>
+ <linear_solver>linear_solver_u</linear_solver>
+ </nonlinear_solver>
+ </nonlinear_solvers>
+ <linear_solvers>
+ <linear_solver>
+ <name>linear_solver_u</name>
+ <eigen>
+ <!--solver_type>BiCGSTAB</solver_type>
+ <precon_type>ILUT</precon_type>
+ <max_iteration_step>10000</max_iteration_step>
+ <error_tolerance>1e-16</error_tolerance-->
+ <solver_type>SparseLU</solver_type>
+ <scaling>true</scaling>
+ </eigen>
+ </linear_solver>
+ </linear_solvers>
+</OpenGeoSysProject>
diff --git a/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..537d16e1bfeafda709301d6483651cd652737af3
--- /dev/null
+++ b/Tests/Data/LIE/Mechanics/GreatCellWithBBar/mechanics_embedded_fracture_F_PMMA_ts_1_t_1.000000.vtu
@@ -0,0 +1,33 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="25" format="appended" RangeMin="45" RangeMax="121" offset="0" />
+ </FieldData>
+ <Piece NumberOfPoints="2285" NumberOfCells="2214" >
+ <PointData>
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="0.00030319492666" offset="88" />
+ <DataArray type="Float64" Name="displacement_jump1" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="3.5016495124e-05" offset="47436" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="9.1705040457e-05" RangeMax="0.085960381631" offset="47860" />
+ <DataArray type="Float64" Name="fracture_aperture" format="appended" RangeMin="-1.8405909598e-09" RangeMax="1e-05" offset="142184" />
+ <DataArray type="Float64" Name="fracture_stress" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="3345654.7998" offset="142460" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="533853.48291" RangeMax="13713018.016" offset="142936" />
+ </PointData>
+ <CellData>
+ <DataArray type="Int32" Name="MaterialIDs" format="appended" RangeMin="0" RangeMax="2" offset="235932" />
+ <DataArray type="Float64" Name="levelset1" format="appended" RangeMin="-0.5" RangeMax="0.5" offset="236040" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="0.1" offset="236240" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="278208" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="301804" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="305808" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
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