diff --git a/ProcessLib/TH2M/ConstitutiveVariables.h b/ProcessLib/TH2M/ConstitutiveVariables.h
index b8d6276fc7dcd7d2a466bad30997d059caed6d7a..c4c9496095eff74f0387c8fe60d513259acd625e 100644
--- a/ProcessLib/TH2M/ConstitutiveVariables.h
+++ b/ProcessLib/TH2M/ConstitutiveVariables.h
@@ -20,9 +20,59 @@ struct ConstitutiveVariables
{
using KelvinMatrixType =
MathLib::KelvinVector::KelvinMatrixType<DisplacementDim>;
+ using DisplacementDimVector = Eigen::Matrix<double, DisplacementDim, 1>;
+ using DisplacementDimMatrix =
+ Eigen::Matrix<double, DisplacementDim, DisplacementDim>;
KelvinMatrixType C;
+ DisplacementDimMatrix dlambda_dp_GR;
+ DisplacementDimMatrix dlambda_dp_cap;
+ DisplacementDimMatrix dlambda_dT;
+ DisplacementDimVector drho_GR_h_w_eff_dp_GR_Npart;
+ DisplacementDimMatrix drho_GR_h_w_eff_dp_GR_gradNpart;
+ DisplacementDimVector drho_LR_h_w_eff_dp_cap_Npart;
+ DisplacementDimMatrix drho_LR_h_w_eff_dp_cap_gradNpart;
+ DisplacementDimVector drho_GR_h_w_eff_dT;
+ DisplacementDimMatrix dfW_4a_dp_GR;
+ DisplacementDimMatrix dfW_4a_dp_cap;
+ DisplacementDimMatrix dfW_4a_dT;
+ DisplacementDimMatrix dfW_4d_dp_GR;
+ DisplacementDimMatrix dfW_4d_dp_cap;
+ DisplacementDimMatrix dfW_4d_dT;
+ DisplacementDimMatrix dfC_4_LCpG_dT;
+ DisplacementDimMatrix dadvection_C_dp_GR;
+ double drho_LR_dT = std::numeric_limits<double>::quiet_NaN();
+ double drho_SR_dT = std::numeric_limits<double>::quiet_NaN();
+ double drho_u_eff_dT = std::numeric_limits<double>::quiet_NaN();
+ double drho_u_eff_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double drho_u_eff_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double drho_h_eff_dT = std::numeric_limits<double>::quiet_NaN();
+ double drho_h_eff_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double drho_h_eff_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dh_G_dT = std::numeric_limits<double>::quiet_NaN();
+ double dh_L_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfC_4_MCpG_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfC_4_MCpG_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfC_4_MCT_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfC_4_MCu_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfC_3a_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfC_3a_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dfC_3a_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfC_2a_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfC_2a_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dfC_2a_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2a_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2b_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2a_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2b_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2a_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfW_2b_dT = std::numeric_limits<double>::quiet_NaN();
+ double dfW_3a_dp_GR = std::numeric_limits<double>::quiet_NaN();
+ double dfW_3a_dp_cap = std::numeric_limits<double>::quiet_NaN();
+ double dfW_3a_dT = std::numeric_limits<double>::quiet_NaN();
+ double ds_L_dp_cap = std::numeric_limits<double>::quiet_NaN();
+
EIGEN_MAKE_ALIGNED_OPERATOR_NEW;
};
diff --git a/ProcessLib/TH2M/IntegrationPointData.h b/ProcessLib/TH2M/IntegrationPointData.h
index 67100620dddb756a556610db0eebb9e909ecbc18..2e959a1da3ae37a2df5e3305cc475a4cfd58482f 100644
--- a/ProcessLib/TH2M/IntegrationPointData.h
+++ b/ProcessLib/TH2M/IntegrationPointData.h
@@ -122,6 +122,7 @@ struct IntegrationPointData final
// porosity
double phi = std::numeric_limits<double>::quiet_NaN();
+ double dphi_dT = std::numeric_limits<double>::quiet_NaN();
double muGR = std::numeric_limits<double>::quiet_NaN();
double muLR = std::numeric_limits<double>::quiet_NaN();
diff --git a/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionModel.h b/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionModel.h
index 54654ccbb048f5df6454bc228d6689ca970611a5..b172d3f45d1c5ffe5acc99e89bbb61d1f8995843 100644
--- a/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionModel.h
+++ b/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionModel.h
@@ -24,6 +24,23 @@ struct PhaseTransitionModelVariables
double rhoCGR = 0.;
double rhoWGR = 0.;
+ double drho_GR_dp_GR = 0.;
+ double drho_GR_dT = 0.;
+ double drho_C_GR_dp_GR = 0.;
+ double drho_C_GR_dT = 0.;
+ double drho_LR_dp_GR = 0.;
+ double drho_LR_dp_LR = 0.;
+ double drho_C_LR_dp_GR = 0.;
+ double drho_C_LR_dp_LR = 0.;
+ double drho_C_LR_dT = 0.;
+
+ double drho_W_LR_dp_LR = 0.;
+ double drho_W_LR_dp_GR = 0.;
+ double drho_W_GR_dT = 0.;
+ double drho_W_LR_dT = 0.;
+ double drho_W_GR_dp_GR = 0.;
+ double drho_W_GR_dp_cap = 0.;
+
// liquid phase density
double rhoLR = 0.;
double rhoWLR = 0.;
@@ -71,9 +88,18 @@ struct PhaseTransitionModelVariables
double hWG = 0;
double hL = 0;
+ double dh_G_dT = 0;
+ double dh_L_dT = 0;
+
// specific inner energies
double uG = 0;
double uL = 0;
+
+ double du_G_dT = 0;
+ double du_L_dT = 0;
+ double du_G_dp_GR = 0;
+ double du_L_dp_GR = 0;
+ double du_L_dp_cap = 0;
};
struct PhaseTransitionModel
diff --git a/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionNone.cpp b/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionNone.cpp
index def1a73daf3e0263ff1dba6edca339f0048a0823..9ce4254b4fe270b51a229629aaa0da61c6026015 100644
--- a/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionNone.cpp
+++ b/ProcessLib/TH2M/PhaseTransitionModels/PhaseTransitionNone.cpp
@@ -107,11 +107,61 @@ PhaseTransitionModelVariables PhaseTransitionNone::updateConstitutiveVariables(
// specific phase enthalpies
cv.hG = cpG * T;
cv.hL = cpL * T;
+ cv.dh_G_dT = cpG;
+ cv.dh_L_dT = cpL;
// specific inner energies
cv.uG = cv.hG - pGR / cv.rhoGR;
cv.uL = cv.hL;
+ auto const drho_GR_dT =
+ gas_phase[MaterialPropertyLib::PropertyType::density]
+ .template dValue<double>(variables,
+ MaterialPropertyLib::Variable::temperature,
+ pos, t, dt);
+ cv.du_G_dT = cpG + pGR * drho_GR_dT / cv.rhoGR / cv.rhoGR;
+
+ cv.du_L_dT = cpL;
+
+ cv.drho_GR_dp_GR =
+ gas_phase.property(MaterialPropertyLib::PropertyType::density)
+ .template dValue<double>(
+ variables, MaterialPropertyLib::Variable::phase_pressure, pos,
+ t, dt);
+ cv.drho_LR_dp_LR =
+ liquid_phase[MaterialPropertyLib::PropertyType::density]
+ .template dValue<double>(
+ variables, MaterialPropertyLib::Variable::liquid_phase_pressure,
+ pos, t, dt);
+ cv.drho_LR_dp_GR = cv.drho_LR_dp_LR;
+
+ cv.du_G_dp_GR =
+ -1 / cv.rhoGR + pGR * cv.drho_GR_dp_GR / cv.rhoGR / cv.rhoGR;
+
+ cv.drho_C_GR_dp_GR = cv.drho_GR_dp_GR;
+ cv.drho_C_LR_dp_LR = 0;
+ cv.drho_C_LR_dp_GR = 0;
+ cv.drho_C_GR_dT = drho_GR_dT;
+
+ auto const drho_LR_dT =
+ liquid_phase[MaterialPropertyLib::PropertyType::density]
+ .template dValue<double>(variables,
+ MaterialPropertyLib::Variable::temperature,
+ pos, t, dt);
+ cv.drho_C_LR_dT = 0;
+
+ cv.du_L_dp_GR = 0;
+ cv.du_L_dp_cap = 0;
+ /* TODO update to the following when uL has same structure as the uG:
+ +-1 / cv.rhoLR + pLR * cv.drho_LR_dp_cap / cv.rhoLR / cv.rhoLR;
+ */
+
+ cv.drho_W_LR_dp_LR = cv.drho_LR_dp_LR;
+ cv.drho_W_LR_dp_GR = cv.drho_LR_dp_GR;
+ cv.drho_W_LR_dT = drho_LR_dT;
+ cv.drho_W_GR_dT = 0;
+ cv.drho_W_GR_dp_GR = 0;
+ cv.drho_W_GR_dp_cap = 0;
return cv;
}
} // namespace TH2M
diff --git a/ProcessLib/TH2M/TH2MFEM-impl.h b/ProcessLib/TH2M/TH2MFEM-impl.h
index 9f4f9471951f78129af9be295e0dd6b83cc31ec9..d7763bb9713851f88159e1d015e94619d4dbed3a 100644
--- a/ProcessLib/TH2M/TH2MFEM-impl.h
+++ b/ProcessLib/TH2M/TH2MFEM-impl.h
@@ -125,6 +125,8 @@ TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
pos.setElementID(_element.getID());
auto const& medium = *_process_data.media_map->getMedium(_element.getID());
+ auto const& gas_phase = medium.phase("Gas");
+ auto const& liquid_phase = medium.phase("AqueousLiquid");
auto const& solid_phase = medium.phase("Solid");
unsigned const n_integration_points =
@@ -143,7 +145,7 @@ TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
auto const& NT = Np;
auto const& Nu = ip_data.N_u;
auto const& gradNu = ip_data.dNdx_u;
-
+ auto const& gradNp = ip_data.dNdx_p;
auto const x_coord =
NumLib::interpolateXCoordinate<ShapeFunctionDisplacement,
ShapeMatricesTypeDisplacement>(
@@ -153,6 +155,8 @@ TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
double const pGR = Np.dot(gas_pressure);
double const pCap = Np.dot(capillary_pressure);
double const pLR = pGR - pCap;
+ GlobalDimVectorType const gradpGR = gradNp * gas_pressure;
+ GlobalDimVectorType const gradpCap = gradNp * capillary_pressure;
MPL::VariableArray vars;
vars[static_cast<int>(MPL::Variable::temperature)] = T;
@@ -293,7 +297,7 @@ TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
auto const lambdaGR = MPL::formEigenTensor<DisplacementDim>(c.lambdaGR);
auto const lambdaLR = MPL::formEigenTensor<DisplacementDim>(c.lambdaLR);
- ip_data.lambda = phi_S * lambdaSR + phi_L * lambdaLR + phi_G * lambdaGR;
+ ip_data.lambda = phi_G * lambdaGR + phi_L * lambdaLR + phi_S * lambdaSR;
auto const cpS =
solid_phase.property(MPL::PropertyType::specific_heat_capacity)
@@ -340,6 +344,275 @@ TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
ip_data.h_G = c.hG;
ip_data.h_L = c.hL;
ip_data.pWGR = c.pWGR;
+
+ // ---------------------------------------------------------------------
+ // Derivatives for Jacobian
+ // ---------------------------------------------------------------------
+ ip_cv.drho_LR_dT =
+ liquid_phase.property(MPL::PropertyType::density)
+ .template dValue<double>(vars, MPL::Variable::temperature, pos,
+ t, dt);
+ ip_cv.drho_SR_dT =
+ solid_phase.property(MPL::PropertyType::density)
+ .template dValue<double>(vars, MPL::Variable::temperature,
+ pos, t, dt)
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ * (1. - ip_data.thermal_volume_strain +
+ (ip_data.alpha_B - 1.) * div_u) -
+ rho_ref_SR * ip_data.beta_T_SR
+#endif
+ ;
+
+ // porosity
+ auto const dphi_0_dT =
+ medium[MPL::PropertyType::porosity].template dValue<double>(
+ vars, MPL::Variable::temperature, pos, t, dt);
+
+ auto const dphi_S_0_dT = -dphi_0_dT;
+ const double dphi_S_dT = dphi_S_0_dT
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ * (1. + ip_data.thermal_volume_strain -
+ ip_data.alpha_B * div_u) +
+ phi_S_0 * ip_data.beta_T_SR
+#endif
+ ;
+
+ ip_cv.drho_u_eff_dT =
+ phi_G * c.drho_GR_dT * c.uG + phi_G * c.rhoGR * c.du_G_dT +
+ phi_L * ip_cv.drho_LR_dT * c.uL + phi_L * c.rhoLR * c.du_L_dT +
+ phi_S * ip_cv.drho_SR_dT * u_S + phi_S * rhoSR * cpS +
+ dphi_S_dT * rhoSR * u_S;
+
+ ip_cv.ds_L_dp_cap =
+ medium[MPL::PropertyType::saturation].template dValue<double>(
+ vars, MPL::Variable::capillary_pressure, pos, t, dt);
+ // TODO (naumov) Extend for partially saturated media.
+ constexpr double ds_L_dp_GR = 0;
+ double const ds_G_dp_GR = -ds_L_dp_GR;
+ double const ds_G_dp_cap = -ip_cv.ds_L_dp_cap;
+
+ double const dphi_G_dp_GR = -ds_L_dp_GR * ip_data.phi;
+ double const dphi_G_dp_cap = -ip_cv.ds_L_dp_cap * ip_data.phi;
+ double const dphi_L_dp_GR = ds_L_dp_GR * ip_data.phi;
+ double const dphi_L_dp_cap = ip_cv.ds_L_dp_cap * ip_data.phi;
+
+ auto const dlambda_GR_dT = MPL::formEigenTensor<DisplacementDim>(
+ gas_phase[MPL::PropertyType::thermal_conductivity].dValue(
+ vars, MPL::Variable::temperature, pos, t, dt));
+ auto const dlambda_LR_dT = MPL::formEigenTensor<DisplacementDim>(
+ liquid_phase[MPL::PropertyType::thermal_conductivity].dValue(
+ vars, MPL::Variable::temperature, pos, t, dt));
+ auto const dlambda_SR_dT = MPL::formEigenTensor<DisplacementDim>(
+ solid_phase[MPL::PropertyType::thermal_conductivity].dValue(
+ vars, MPL::Variable::temperature, pos, t, dt));
+
+ ip_cv.dlambda_dp_GR = dphi_G_dp_GR * lambdaGR + dphi_L_dp_GR * lambdaLR;
+
+ ip_cv.dlambda_dp_cap =
+ dphi_G_dp_cap * lambdaGR + dphi_L_dp_cap * lambdaLR;
+
+ ip_cv.dlambda_dT = phi_G * dlambda_GR_dT + phi_L * dlambda_LR_dT +
+ phi_S * dlambda_SR_dT + dphi_S_dT * lambdaSR;
+
+ // From p_LR = p_GR - p_cap it follows for
+ // drho_LR/dp_GR = drho_LR/dp_LR * dp_LR/dp_GR
+ // = drho_LR/dp_LR * (dp_GR/dp_GR - dp_cap/dp_GR)
+ // = drho_LR/dp_LR * (1 - 0)
+ double const drho_LR_dp_GR = c.drho_LR_dp_LR;
+ double const drho_LR_dp_cap = -c.drho_LR_dp_LR;
+ // And also for drho_GR/dp_LR = drho_GR/dp_GR * dp_GR/dp_LR:
+ double const drho_GR_dp_cap = 0;
+
+ ip_cv.drho_h_eff_dp_GR =
+ dphi_G_dp_GR * c.rhoGR * c.hG + phi_G * c.drho_GR_dp_GR * c.hG +
+ dphi_L_dp_GR * c.rhoLR * c.hL + phi_L * drho_LR_dp_GR * c.hL;
+ ip_cv.drho_h_eff_dp_cap =
+ dphi_G_dp_cap * c.rhoGR * c.hG + phi_G * drho_GR_dp_cap * c.hG +
+ dphi_L_dp_cap * c.rhoLR * c.hL + phi_L * drho_LR_dp_cap * c.hL;
+
+ // TODO (naumov) Extend for temperature dependent porosities.
+ constexpr double dphi_G_dT = 0;
+ constexpr double dphi_L_dT = 0;
+ ip_cv.drho_h_eff_dT =
+ dphi_G_dT * c.rhoGR * c.hG + phi_G * c.drho_GR_dT * c.hG +
+ phi_G * c.rhoGR * c.dh_G_dT + dphi_L_dT * c.rhoLR * c.hL +
+ phi_L * ip_cv.drho_LR_dT * c.hL + phi_L * c.rhoLR * c.dh_L_dT +
+ dphi_S_dT * rhoSR * ip_data.h_S +
+ phi_S * ip_cv.drho_SR_dT * ip_data.h_S + phi_S * rhoSR * cpS;
+
+ ip_cv.drho_u_eff_dp_GR =
+ dphi_G_dp_GR * c.rhoGR * c.uG + phi_G * c.drho_GR_dp_GR * c.uG +
+ phi_G * c.rhoGR * c.du_G_dp_GR + dphi_L_dp_GR * c.rhoLR * c.uL +
+ phi_L * drho_LR_dp_GR * c.uL + phi_L * c.rhoLR * c.du_L_dp_GR;
+
+ ip_cv.drho_u_eff_dp_cap =
+ dphi_G_dp_cap * c.rhoGR * c.uG + phi_G * drho_GR_dp_cap * c.uG +
+ dphi_L_dp_cap * c.rhoLR * c.uL + phi_L * drho_LR_dp_cap * c.uL +
+ phi_L * c.rhoLR * c.du_L_dp_cap;
+
+ auto const& b = _process_data.specific_body_force;
+ auto const k_over_mu_G =
+ (ip_data.k_S * ip_data.k_rel_G / ip_data.muGR).eval();
+ auto const k_over_mu_L =
+ (ip_data.k_S * ip_data.k_rel_L / ip_data.muLR).eval();
+ GlobalDimVectorType const w_GS =
+ k_over_mu_G * c.rhoGR * b - k_over_mu_G * gradpGR;
+ GlobalDimVectorType const w_LS = k_over_mu_L * gradpCap +
+ k_over_mu_L * c.rhoLR * b -
+ k_over_mu_L * gradpGR;
+
+ ip_cv.drho_GR_h_w_eff_dp_GR_Npart =
+ c.drho_GR_dp_GR * c.hG * w_GS +
+ c.rhoGR * c.hG * k_over_mu_G * c.drho_GR_dp_GR * b;
+ ip_cv.drho_GR_h_w_eff_dp_GR_gradNpart =
+ -c.rhoGR * c.hG * k_over_mu_G - c.rhoLR * c.hL * k_over_mu_L;
+
+ ip_cv.drho_LR_h_w_eff_dp_cap_Npart =
+ -drho_LR_dp_cap * c.hL * w_LS -
+ c.rhoLR * c.hL * k_over_mu_L * drho_LR_dp_cap * b;
+ ip_cv.drho_LR_h_w_eff_dp_cap_gradNpart =
+ // TODO (naumov) why the minus sign??????
+ -c.rhoLR * c.hL * k_over_mu_L;
+
+ ip_cv.drho_GR_h_w_eff_dT =
+ c.drho_GR_dT * c.hG * w_GS + c.rhoGR * c.dh_G_dT * w_GS +
+ ip_cv.drho_LR_dT * c.hL * w_LS + c.rhoLR * c.dh_L_dT * w_LS;
+ // TODO (naumov) + k_over_mu_G * drho_GR_dT * b + k_over_mu_L *
+ // drho_LR_dT * b
+
+ // Derivatives of s_G * rho_C_GR_dot + s_L * rho_C_LR_dot abbreviated
+ // here with S_rho_C_eff.
+ double const s_L = ip_data.s_L;
+ double const s_G = 1. - ip_data.s_L;
+ double const rho_C_GR_dot = (ip_data.rhoCGR - ip_data.rhoCGR_prev) / dt;
+ double const rho_C_LR_dot = (ip_data.rhoCLR - ip_data.rhoCLR_prev) / dt;
+ double const rho_C_FR = s_G * ip_data.rhoCGR + s_L * ip_data.rhoCLR;
+ double const rho_W_FR = s_G * ip_data.rhoWGR + s_L * ip_data.rhoWLR;
+ // TODO (naumov) Extend for partially saturated media.
+ constexpr double drho_C_GR_dp_cap = 0;
+ ip_cv.dfC_3a_dp_GR =
+ ds_G_dp_GR * rho_C_GR_dot + s_G * c.drho_C_GR_dp_GR / dt +
+ ds_L_dp_GR * rho_C_LR_dot + s_L * c.drho_C_LR_dp_GR / dt;
+ ip_cv.dfC_3a_dp_cap =
+ ds_G_dp_cap * rho_C_GR_dot + s_G * drho_C_GR_dp_cap / dt +
+ ip_cv.ds_L_dp_cap * rho_C_LR_dot - s_L * c.drho_C_LR_dp_LR / dt;
+ ip_cv.dfC_3a_dT = s_G * c.drho_C_GR_dT / dt + s_L * c.drho_C_LR_dT / dt;
+
+ double const drho_C_FR_dp_GR =
+ ds_G_dp_GR * ip_data.rhoCGR + s_G * c.drho_C_GR_dp_GR +
+ ds_L_dp_GR * ip_data.rhoCLR + s_L * c.drho_C_LR_dp_GR;
+ ip_cv.dfC_4_MCpG_dp_GR = drho_C_FR_dp_GR *
+ (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR;
+
+ double const drho_C_FR_dT = s_G * c.drho_C_GR_dT + s_L * c.drho_C_LR_dT;
+ ip_cv.dfC_4_MCpG_dT =
+ drho_C_FR_dT * (ip_data.alpha_B - ip_data.phi) * ip_data.beta_p_SR
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ - rho_C_FR * ip_data.dphi_dT * ip_data.beta_p_SR
+#endif
+ ;
+
+ ip_cv.dfC_4_MCT_dT =
+ drho_C_FR_dT * (ip_data.alpha_B - ip_data.phi) * ip_data.beta_T_SR
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ + rho_C_FR * (ip_data.alpha_B - ip_data.dphi_dT) * ip_data.beta_T_SR
+#endif
+ ;
+
+ ip_cv.dfC_4_MCu_dT = drho_C_FR_dT * ip_data.alpha_B;
+
+ ip_cv.dfC_2a_dp_GR = -ip_data.phi * c.drho_C_GR_dp_GR -
+ drho_C_FR_dp_GR * pCap *
+ (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR;
+
+ double const drho_C_FR_dp_cap =
+ ds_G_dp_cap * ip_data.rhoCGR + s_G * drho_C_GR_dp_cap +
+ ip_cv.ds_L_dp_cap * ip_data.rhoCLR - s_L * c.drho_C_LR_dp_LR;
+
+ ip_cv.dfC_2a_dp_cap =
+ ip_data.phi * (-c.drho_C_LR_dp_LR - drho_C_GR_dp_cap) -
+ drho_C_FR_dp_cap * pCap * (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR +
+ rho_C_FR * (ip_data.alpha_B - ip_data.phi) * ip_data.beta_p_SR;
+
+ ip_cv.dfC_2a_dT =
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ ip_data.dphi_dT * (ip_data.rhoCLR - ip_data.rhoCGR) +
+#endif
+ ip_data.phi * (c.drho_C_LR_dT - c.drho_C_GR_dT) -
+ drho_C_FR_dT * pCap * (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ + rho_C_FR * pCap * ip_data.dphi_dT * ip_data.beta_p_SR
+#endif
+ ;
+
+ ip_cv.dadvection_C_dp_GR =
+ c.drho_C_GR_dp_GR * k_over_mu_G + c.drho_C_LR_dp_GR * k_over_mu_L;
+
+ ip_cv.dfC_4_LCpG_dT =
+ c.drho_C_GR_dT * k_over_mu_G + c.drho_C_LR_dT * k_over_mu_L
+ // + ip_cv.ddiffusion_C_p_dT TODO (naumov)
+ ;
+
+ double const drho_W_FR_dp_GR =
+ ds_G_dp_GR * ip_data.rhoWGR + s_G * c.drho_W_GR_dp_GR +
+ ds_L_dp_GR * ip_data.rhoWLR + s_L * c.drho_W_LR_dp_GR;
+ double const drho_W_FR_dp_cap =
+ ds_G_dp_cap * ip_data.rhoWGR + s_G * c.drho_W_GR_dp_cap +
+ ip_cv.ds_L_dp_cap * ip_data.rhoWLR - s_L * c.drho_W_LR_dp_LR;
+ double const drho_W_FR_dT = s_G * c.drho_W_GR_dT + s_L * c.drho_W_LR_dT;
+
+ ip_cv.dfW_2a_dp_GR =
+ ip_data.phi * (c.drho_W_LR_dp_GR - c.drho_W_GR_dp_GR);
+ ip_cv.dfW_2b_dp_GR = drho_W_FR_dp_GR * pCap *
+ (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR;
+ ip_cv.dfW_2a_dp_cap =
+ ip_data.phi * (-c.drho_W_LR_dp_LR - c.drho_W_GR_dp_cap);
+ ip_cv.dfW_2b_dp_cap =
+ drho_W_FR_dp_cap * pCap * (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR +
+ rho_W_FR * (ip_data.alpha_B - ip_data.phi) * ip_data.beta_p_SR;
+
+ ip_cv.dfW_2a_dT =
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ ip_data.dphi_dT * (ip_data.rhoWLR - ip_data.rhoWGR) +
+#endif
+ ip_data.phi * (c.drho_W_LR_dT - c.drho_W_GR_dT);
+ ip_cv.dfW_2b_dT =
+ drho_W_FR_dT * pCap * (ip_data.alpha_B - ip_data.phi) *
+ ip_data.beta_p_SR
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ - rho_W_FR * pCap * ip_data.dphi_dT * ip_data.beta_p_SR
+#endif
+ ;
+
+ double const rho_W_GR_dot = (ip_data.rhoWGR - ip_data.rhoWGR_prev) / dt;
+ double const rho_W_LR_dot = (ip_data.rhoWLR - ip_data.rhoWLR_prev) / dt;
+
+ ip_cv.dfW_3a_dp_GR =
+ ds_G_dp_GR * rho_W_GR_dot + s_G * c.drho_W_GR_dp_GR / dt +
+ ds_L_dp_GR * rho_W_LR_dot + s_L * c.drho_W_LR_dp_GR / dt;
+ ip_cv.dfW_3a_dp_cap =
+ ds_G_dp_cap * rho_W_GR_dot + s_G * c.drho_W_GR_dp_cap / dt +
+ ip_cv.ds_L_dp_cap * rho_W_LR_dot - s_L * c.drho_W_LR_dp_LR / dt;
+ ip_cv.dfW_3a_dT = s_G * c.drho_W_GR_dT / dt + s_L * c.drho_W_LR_dT / dt;
+
+ ip_cv.dfW_4a_dp_GR = c.drho_W_GR_dp_GR * k_over_mu_G;
+ ip_cv.dfW_4a_dp_cap = -c.drho_W_LR_dp_LR * k_over_mu_L;
+ ip_cv.dfW_4a_dT =
+ c.drho_W_GR_dT * k_over_mu_G + c.drho_W_LR_dT * k_over_mu_L;
+
+ // TODO (naumov) for dxmW*/d* != 0
+ ip_cv.dfW_4d_dp_GR =
+ Eigen::Matrix<double, DisplacementDim, DisplacementDim>::Zero();
+ ip_cv.dfW_4d_dp_cap =
+ Eigen::Matrix<double, DisplacementDim, DisplacementDim>::Zero();
+ ip_cv.dfW_4d_dT =
+ Eigen::Matrix<double, DisplacementDim, DisplacementDim>::Zero();
}
return ip_constitutive_variables;
@@ -807,18 +1080,703 @@ template <typename ShapeFunctionDisplacement, typename ShapeFunctionPressure,
typename IntegrationMethod, int DisplacementDim>
void TH2MLocalAssembler<ShapeFunctionDisplacement, ShapeFunctionPressure,
IntegrationMethod, DisplacementDim>::
- assembleWithJacobian(double const /*t*/, double const /*dt*/,
- std::vector<double> const& /*local_x*/,
- std::vector<double> const& /*local_xdot*/,
+ assembleWithJacobian(double const t, double const dt,
+ std::vector<double> const& local_x,
+ std::vector<double> const& local_xdot,
const double /*dxdot_dx*/, const double /*dx_dx*/,
std::vector<double>& /*local_M_data*/,
std::vector<double>& /*local_K_data*/,
- std::vector<double>& /*local_rhs_data*/,
- std::vector<double>& /*local_Jac_data*/)
+ std::vector<double>& local_rhs_data,
+ std::vector<double>& local_Jac_data)
{
- OGS_FATAL(
- "TH2MLocalAssembler:assembleWithJacobian is currently not "
- "implemented.");
+ auto const matrix_size = gas_pressure_size + capillary_pressure_size +
+ temperature_size + displacement_size;
+ assert(local_x.size() == matrix_size);
+
+ auto const temperature = Eigen::Map<VectorType<temperature_size> const>(
+ local_x.data() + temperature_index, temperature_size);
+
+ auto const gas_pressure = Eigen::Map<VectorType<gas_pressure_size> const>(
+ local_x.data() + gas_pressure_index, gas_pressure_size);
+
+ auto const capillary_pressure =
+ Eigen::Map<VectorType<capillary_pressure_size> const>(
+ local_x.data() + capillary_pressure_index, capillary_pressure_size);
+
+ auto const gas_pressure_dot =
+ Eigen::Map<VectorType<gas_pressure_size> const>(
+ local_xdot.data() + gas_pressure_index, gas_pressure_size);
+
+ auto const capillary_pressure_dot =
+ Eigen::Map<VectorType<capillary_pressure_size> const>(
+ local_xdot.data() + capillary_pressure_index,
+ capillary_pressure_size);
+
+ auto const temperature_dot = Eigen::Map<VectorType<temperature_size> const>(
+ local_xdot.data() + temperature_index, temperature_size);
+
+ auto const displacement_dot =
+ Eigen::Map<VectorType<displacement_size> const>(
+ local_xdot.data() + displacement_index, displacement_size);
+
+ auto local_Jac =
+ MathLib::createZeroedMatrix<MatrixType<matrix_size, matrix_size>>(
+ local_Jac_data, matrix_size, matrix_size);
+
+ auto local_f = MathLib::createZeroedVector<VectorType<matrix_size>>(
+ local_rhs_data, matrix_size);
+
+ // component-formulation
+ // W - liquid phase main component
+ // C - gas phase main component
+
+ // C component equation matrices
+ MatrixType<C_size, gas_pressure_size> MCpG =
+ MatrixType<C_size, gas_pressure_size>::Zero(C_size, gas_pressure_size);
+ MatrixType<C_size, capillary_pressure_size> MCpC =
+ MatrixType<C_size, capillary_pressure_size>::Zero(
+ C_size, capillary_pressure_size);
+ MatrixType<C_size, temperature_size> MCT =
+ MatrixType<C_size, temperature_size>::Zero(C_size, temperature_size);
+ MatrixType<C_size, displacement_size> MCu =
+ MatrixType<C_size, displacement_size>::Zero(C_size, displacement_size);
+
+ MatrixType<C_size, gas_pressure_size> LCpG =
+ MatrixType<C_size, gas_pressure_size>::Zero(C_size, gas_pressure_size);
+ MatrixType<C_size, capillary_pressure_size> LCpC =
+ MatrixType<C_size, capillary_pressure_size>::Zero(
+ C_size, capillary_pressure_size);
+ MatrixType<C_size, temperature_size> LCT =
+ MatrixType<C_size, temperature_size>::Zero(C_size, temperature_size);
+
+ // mass matrix - W component equation
+ MatrixType<W_size, gas_pressure_size> MWpG =
+ MatrixType<W_size, gas_pressure_size>::Zero(W_size, gas_pressure_size);
+ MatrixType<W_size, capillary_pressure_size> MWpC =
+ MatrixType<W_size, capillary_pressure_size>::Zero(
+ W_size, capillary_pressure_size);
+ MatrixType<W_size, temperature_size> MWT =
+ MatrixType<W_size, temperature_size>::Zero(W_size, temperature_size);
+ MatrixType<W_size, displacement_size> MWu =
+ MatrixType<W_size, displacement_size>::Zero(W_size, displacement_size);
+
+ // stiffness matrix - W component equation
+ MatrixType<W_size, gas_pressure_size> LWpG =
+ MatrixType<W_size, gas_pressure_size>::Zero(W_size, gas_pressure_size);
+ MatrixType<W_size, capillary_pressure_size> LWpC =
+ MatrixType<W_size, capillary_pressure_size>::Zero(
+ W_size, capillary_pressure_size);
+ MatrixType<W_size, temperature_size> LWT =
+ MatrixType<W_size, temperature_size>::Zero(W_size, temperature_size);
+
+ // mass matrix - temperature equation
+ MatrixType<temperature_size, displacement_size> MTu =
+ MatrixType<temperature_size, displacement_size>::Zero(
+ temperature_size, displacement_size);
+
+ // stiffness matrix - temperature equation
+ MatrixType<temperature_size, temperature_size> KTT =
+ MatrixType<temperature_size, temperature_size>::Zero(temperature_size,
+ temperature_size);
+
+ // stiffness matrices - displacement equation coupling into pressures
+ MatrixType<displacement_size, gas_pressure_size> KUpG =
+ MatrixType<displacement_size, gas_pressure_size>::Zero(
+ displacement_size, gas_pressure_size);
+ MatrixType<displacement_size, capillary_pressure_size> KUpC =
+ MatrixType<displacement_size, capillary_pressure_size>::Zero(
+ displacement_size, capillary_pressure_size);
+
+ // pointer-vectors to the right hand side terms - C-component equation
+ auto fC = local_f.template segment<C_size>(C_index);
+ // pointer-vectors to the right hand side terms - W-component equation
+ auto fW = local_f.template segment<W_size>(W_index);
+ // pointer-vectors to the right hand side terms - temperature equation
+ auto fT = local_f.template segment<temperature_size>(temperature_index);
+ // pointer-vectors to the right hand side terms - displacement equation
+ auto fU = local_f.template segment<displacement_size>(displacement_index);
+
+ ParameterLib::SpatialPosition pos;
+ pos.setElementID(_element.getID());
+
+ unsigned const n_integration_points =
+ _integration_method.getNumberOfPoints();
+
+ auto const ip_constitutive_variables = updateConstitutiveVariables(
+ Eigen::Map<Eigen::VectorXd const>(local_x.data(), local_x.size()),
+ Eigen::Map<Eigen::VectorXd const>(local_xdot.data(), local_xdot.size()),
+ t, dt);
+
+ for (unsigned int_point = 0; int_point < n_integration_points; int_point++)
+ {
+ pos.setIntegrationPoint(int_point);
+ auto& ip = _ip_data[int_point];
+ auto& ip_cv = ip_constitutive_variables[int_point];
+
+ auto const& Np = ip.N_p;
+ auto const& NT = Np;
+ auto const& Nu = ip.N_u;
+
+ auto const& NpT = Np.transpose().eval();
+ auto const& NTT = NT.transpose().eval();
+
+ auto const& gradNp = ip.dNdx_p;
+ auto const& gradNT = gradNp;
+ auto const& gradNu = ip.dNdx_u;
+
+ auto const& gradNpT = gradNp.transpose().eval();
+ auto const& gradNTT = gradNT.transpose().eval();
+
+ auto const& Nu_op = ip.N_u_op;
+ auto const& w = ip.integration_weight;
+
+ auto const& m = Invariants::identity2;
+ auto const mT = m.transpose().eval();
+
+ auto const x_coord =
+ NumLib::interpolateXCoordinate<ShapeFunctionDisplacement,
+ ShapeMatricesTypeDisplacement>(
+ _element, Nu);
+
+ auto const Bu =
+ LinearBMatrix::computeBMatrix<DisplacementDim,
+ ShapeFunctionDisplacement::NPOINTS,
+ typename BMatricesType::BMatrixType>(
+ gradNu, Nu, x_coord, _is_axially_symmetric);
+
+ auto const BuT = Bu.transpose().eval();
+
+ double const div_u_dot = Invariants::trace(Bu * displacement_dot);
+
+ double const pCap = Np.dot(capillary_pressure);
+
+ GlobalDimVectorType const gradpGR = gradNp * gas_pressure;
+ GlobalDimVectorType const gradpCap = gradNp * capillary_pressure;
+ GlobalDimVectorType const gradT = gradNT * temperature;
+
+ double const pGR_dot = Np.dot(gas_pressure_dot);
+ double const pCap_dot = Np.dot(capillary_pressure_dot);
+ double const T_dot = NT.dot(temperature_dot);
+ auto& beta_T_SR = ip.beta_T_SR;
+
+ auto const I =
+ Eigen::Matrix<double, DisplacementDim, DisplacementDim>::Identity();
+
+ const double sD_G = ip.diffusion_coefficient_vapour;
+ const double sD_L = ip.diffusion_coefficient_solvate;
+
+ auto const D_C_G = (sD_G * I).eval();
+ auto const D_W_G = (sD_G * I).eval();
+ auto const D_C_L = (sD_L * I).eval();
+ auto const D_W_L = (sD_L * I).eval();
+
+ auto& k_S = ip.k_S;
+
+ auto& s_L = ip.s_L;
+ auto const s_G = 1. - s_L;
+ auto const s_L_dot = (s_L - ip.s_L_prev) / dt;
+
+ auto& alpha_B = ip.alpha_B;
+ auto& beta_p_SR = ip.beta_p_SR;
+
+ auto const& b = _process_data.specific_body_force;
+
+ // porosity
+ auto& phi = ip.phi;
+
+ // volume fraction
+ auto const phi_G = s_G * phi;
+ auto const phi_L = s_L * phi;
+ auto const phi_S = 1. - phi;
+
+ // solid phase density
+ auto& rho_SR = ip.rhoSR;
+ // effective density
+ auto const rho = phi_G * ip.rhoGR + phi_L * ip.rhoLR + phi_S * rho_SR;
+
+ // abbreviations
+ const double rho_C_FR = s_G * ip.rhoCGR + s_L * ip.rhoCLR;
+ const double rho_W_FR = s_G * ip.rhoWGR + s_L * ip.rhoWLR;
+
+ // phase specific enthalpies
+ auto& h_G = ip.h_G;
+ auto& h_L = ip.h_L;
+
+ auto const rho_C_GR_dot = (ip.rhoCGR - ip.rhoCGR_prev) / dt;
+ auto const rho_C_LR_dot = (ip.rhoCLR - ip.rhoCLR_prev) / dt;
+ auto const rho_W_GR_dot = (ip.rhoWGR - ip.rhoWGR_prev) / dt;
+ auto const rho_W_LR_dot = (ip.rhoWLR - ip.rhoWLR_prev) / dt;
+
+ auto const rho_h_eff = ip.rho_G_h_G + ip.rho_L_h_L + ip.rho_S_h_S;
+
+ auto const rho_u_eff_dot = (ip.rho_u_eff - ip.rho_u_eff_prev) / dt;
+
+ auto const k_over_mu_G = (k_S * ip.k_rel_G / ip.muGR).eval();
+ auto const k_over_mu_L = (k_S * ip.k_rel_L / ip.muLR).eval();
+
+ GlobalDimVectorType const w_GS =
+ k_over_mu_G * ip.rhoGR * b - k_over_mu_G * gradpGR;
+
+ GlobalDimVectorType const w_LS = k_over_mu_L * gradpCap +
+ k_over_mu_L * ip.rhoLR * b -
+ k_over_mu_L * gradpGR;
+
+ // ---------------------------------------------------------------------
+ // C-component equation
+ // ---------------------------------------------------------------------
+
+ MCpG.noalias() += NpT * rho_C_FR * (alpha_B - phi) * beta_p_SR * Np * w;
+ MCpC.noalias() -=
+ NpT * rho_C_FR * (alpha_B - phi) * beta_p_SR * s_L * Np * w;
+
+ if (_process_data.apply_mass_lumping)
+ {
+ if (pCap_dot != 0.) // avoid division by Zero
+ {
+ MCpC.noalias() +=
+ NpT *
+ (phi * (ip.rhoCLR - ip.rhoCGR) -
+ rho_C_FR * pCap * (alpha_B - phi) * beta_p_SR) *
+ s_L_dot / pCap_dot * Np * w;
+ }
+ }
+
+ MCT.noalias() -= NpT * rho_C_FR * (alpha_B - phi) * beta_T_SR * Np * w;
+ // d (fC_4_MCT * T_dot)/d T
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += NpT * ip_cv.dfC_4_MCT_dT * T_dot * NT * w;
+
+ MCu.noalias() += NpT * rho_C_FR * alpha_B * mT * Bu * w;
+ // d (fC_4_MCu * u_dot)/d T
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += NpT * ip_cv.dfC_4_MCu_dT * div_u_dot * NT * w;
+
+ auto const advection_C_G = (ip.rhoCGR * k_over_mu_G).eval();
+ auto const advection_C_L = (ip.rhoCLR * k_over_mu_L).eval();
+ auto const diffusion_C_G_p =
+ (phi_G * ip.rhoGR * D_C_G * ip.dxmCG_dpGR).eval();
+ auto const diffusion_C_L_p =
+ (phi_L * ip.rhoLR * D_C_L * ip.dxmCL_dpLR).eval();
+ auto const diffusion_C_G_T =
+ (phi_G * ip.rhoGR * D_C_G * ip.dxmCG_dT).eval();
+ auto const diffusion_C_L_T =
+ (phi_L * ip.rhoLR * D_C_L * ip.dxmCL_dT).eval();
+
+ auto const advection_C = (advection_C_G + advection_C_L).eval();
+ auto const diffusion_C_p = (diffusion_C_G_p + diffusion_C_L_p).eval();
+ auto const diffusion_C_T = (diffusion_C_G_T + diffusion_C_L_T).eval();
+
+ LCpG.noalias() += gradNpT * (advection_C + diffusion_C_p) * gradNp * w;
+
+ // d (fC_4_LCpG * grad p_GR)/d p_GR
+ local_Jac.template block<C_size, C_size>(C_index, C_index).noalias() +=
+ gradNpT *
+ (ip_cv.dadvection_C_dp_GR
+ // + ip_cv.ddiffusion_C_p_dp_GR TODO (naumov)
+ ) *
+ gradpGR * Np * w;
+
+ // d (fC_4_LCpG * grad p_GR)/d T
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += gradNpT * ip_cv.dfC_4_LCpG_dT * gradpGR * NT * w;
+
+ // d (fC_4_MCpG * p_GR_dot)/d p_GR
+ local_Jac.template block<C_size, C_size>(C_index, C_index).noalias() +=
+ NpT * ip_cv.dfC_4_MCpG_dp_GR * pGR_dot * Np * w;
+
+ // d (fC_4_MCpG * p_GR_dot)/d T
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += NpT * ip_cv.dfC_4_MCpG_dT * pGR_dot * NT * w;
+
+ LCpC.noalias() -=
+ gradNpT * (advection_C_L + diffusion_C_L_p) * gradNp * w;
+
+ LCT.noalias() += gradNpT * diffusion_C_T * gradNp * w;
+
+ // fC_1
+ fC.noalias() += gradNpT *
+ (advection_C_G * ip.rhoGR + advection_C_L * ip.rhoLR) *
+ b * w;
+
+ if (!_process_data.apply_mass_lumping)
+ {
+ // fC_2 = \int a * s_L_dot
+ auto const a = phi * (ip.rhoCLR - ip.rhoCGR) -
+ rho_C_FR * pCap * (alpha_B - phi) * beta_p_SR;
+ fC.noalias() -= NpT * a * s_L_dot * w;
+
+ // TODO (naumov) Extend for partially saturated media.
+ constexpr double ds_L_dp_GR = 0;
+ local_Jac.template block<C_size, C_size>(C_index, C_index)
+ .noalias() +=
+ NpT * (ip_cv.dfC_2a_dp_GR * s_L_dot - a * ds_L_dp_GR / dt) *
+ Np * w;
+
+ local_Jac.template block<C_size, W_size>(C_index, W_index)
+ .noalias() +=
+ NpT *
+ (ip_cv.dfC_2a_dp_cap * s_L_dot + a * ip_cv.ds_L_dp_cap / dt) *
+ Np * w;
+
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += NpT * ip_cv.dfC_2a_dT * s_L_dot * NT * w;
+ }
+ {
+ // fC_3 = \int phi * a
+ double const a = s_G * rho_C_GR_dot + s_L * rho_C_LR_dot;
+ fC.noalias() -= NpT * phi * a * w;
+
+ local_Jac.template block<C_size, C_size>(C_index, C_index)
+ .noalias() += NpT * phi * ip_cv.dfC_3a_dp_GR * Np * w;
+
+ local_Jac.template block<C_size, W_size>(C_index, W_index)
+ .noalias() += NpT * phi * ip_cv.dfC_3a_dp_cap * Np * w;
+
+ local_Jac
+ .template block<C_size, temperature_size>(C_index,
+ temperature_index)
+ .noalias() += NpT *
+ (
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ ip.dphi_dT * a +
+#endif // NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ phi * ip_cv.dfC_3a_dT) *
+ NT * w;
+ }
+ // ---------------------------------------------------------------------
+ // W-component equation
+ // ---------------------------------------------------------------------
+
+ MWpG.noalias() += NpT * rho_W_FR * (alpha_B - phi) * beta_p_SR * Np * w;
+ MWpC.noalias() -=
+ NpT * rho_W_FR * (alpha_B - phi) * beta_p_SR * s_L * Np * w;
+
+ if (_process_data.apply_mass_lumping)
+ {
+ if (pCap_dot != 0.) // avoid division by Zero
+ {
+ MWpC.noalias() +=
+ NpT *
+ (phi * (ip.rhoWLR - ip.rhoWGR) -
+ rho_W_FR * pCap * (alpha_B - phi) * beta_p_SR) *
+ s_L_dot / pCap_dot * Np * w;
+ }
+ }
+
+ MWT.noalias() -= NpT * rho_W_FR * (alpha_B - phi) * beta_T_SR * Np * w;
+
+ MWu.noalias() += NpT * rho_W_FR * alpha_B * mT * Bu * w;
+
+ auto const advection_W_G = (ip.rhoWGR * k_over_mu_G).eval();
+ auto const advection_W_L = (ip.rhoWLR * k_over_mu_L).eval();
+ auto const diffusion_W_G_p = phi_G * ip.rhoGR * D_W_G * ip.dxmWG_dpGR;
+ auto const diffusion_W_L_p = phi_L * ip.rhoLR * D_W_L * ip.dxmWL_dpLR;
+ auto const diffusion_W_G_T = phi_G * ip.rhoGR * D_W_G * ip.dxmWG_dT;
+ auto const diffusion_W_L_T = phi_L * ip.rhoLR * D_W_L * ip.dxmWL_dT;
+
+ auto const advection_W = advection_W_G + advection_W_L;
+ auto const diffusion_W_p = diffusion_W_G_p + diffusion_W_L_p;
+ auto const diffusion_W_T = diffusion_W_G_T + diffusion_W_L_T;
+
+ LWpG.noalias() += gradNpT * (advection_W + diffusion_W_p) * gradNp * w;
+
+ // fW_4 LWpG' parts; LWpG = \int grad (a + d) grad
+ local_Jac.template block<W_size, C_size>(W_index, C_index).noalias() -=
+ gradNpT * (ip_cv.dfW_4a_dp_GR + ip_cv.dfW_4d_dp_GR) * gradpGR * Np *
+ w;
+
+ local_Jac.template block<W_size, W_size>(W_index, W_index).noalias() -=
+ gradNpT * (ip_cv.dfW_4a_dp_cap + ip_cv.dfW_4d_dp_cap) * gradpGR *
+ Np * w;
+
+ local_Jac
+ .template block<W_size, temperature_size>(W_index,
+ temperature_index)
+ .noalias() -=
+ gradNpT * (ip_cv.dfW_4a_dT + ip_cv.dfW_4d_dT) * gradpGR * NT * w;
+
+ LWpC.noalias() -=
+ gradNpT * (advection_W_L + diffusion_W_L_p) * gradNp * w;
+
+ LWT.noalias() += gradNpT * (diffusion_W_T)*gradNp * w;
+
+ // fW_1
+ fW.noalias() += gradNpT *
+ (advection_W_G * ip.rhoGR + advection_W_L * ip.rhoLR) *
+ b * w;
+
+ // fW_2 = \int (f - g) * s_L_dot
+ if (!_process_data.apply_mass_lumping)
+ {
+ double const f = phi * (ip.rhoWLR - ip.rhoWGR);
+ double const g = rho_W_FR * pCap * (alpha_B - phi) * beta_p_SR;
+
+ fW.noalias() -= NpT * (f - g) * s_L_dot * w;
+
+ local_Jac.template block<W_size, C_size>(W_index, C_index)
+ .noalias() += NpT * (ip_cv.dfW_2a_dp_GR - ip_cv.dfW_2b_dp_GR) *
+ s_L_dot * Np * w;
+
+ // sign negated because of dp_cap = -dp_LR
+ // TODO (naumov) Had to change the sign to get equal Jacobian WW
+ // blocks in A2 Test. Where is the error?
+ local_Jac.template block<W_size, W_size>(W_index, W_index)
+ .noalias() +=
+ NpT *
+ ((ip_cv.dfW_2a_dp_cap - ip_cv.dfW_2b_dp_cap) * s_L_dot +
+ (f - g) * ip_cv.ds_L_dp_cap / dt) *
+ Np * w;
+
+ local_Jac
+ .template block<W_size, temperature_size>(W_index,
+ temperature_index)
+ .noalias() +=
+ NpT * (ip_cv.dfW_2a_dT - ip_cv.dfW_2b_dT) * s_L_dot * Np * w;
+ }
+
+ // fW_3 = \int phi * a
+ fW.noalias() -=
+ NpT * phi * (s_G * rho_W_GR_dot + s_L * rho_W_LR_dot) * w;
+
+ local_Jac.template block<W_size, C_size>(W_index, C_index).noalias() +=
+ NpT * phi * ip_cv.dfW_3a_dp_GR * Np * w;
+
+ local_Jac.template block<W_size, W_size>(W_index, W_index).noalias() +=
+ NpT * phi * ip_cv.dfW_3a_dp_cap * Np * w;
+
+ local_Jac
+ .template block<W_size, temperature_size>(W_index,
+ temperature_index)
+ .noalias() +=
+ NpT *
+ (
+#ifdef NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ ip.dphi_dT * (s_G * rho_W_GR_dot + s_L * rho_W_LR_dot) +
+#endif // NON_CONSTANT_SOLID_PHASE_VOLUME_FRACTION
+ phi * ip_cv.dfW_3a_dT) *
+ NT * w;
+
+ // ---------------------------------------------------------------------
+ // - temperature equation
+ // ---------------------------------------------------------------------
+
+ MTu.noalias() += NTT * rho_h_eff * mT * Bu * w;
+
+ // dfT_4/dp_GR
+ // d (MTu * u_dot)/dp_GR
+ local_Jac
+ .template block<temperature_size, C_size>(temperature_index,
+ C_index)
+ .noalias() += NTT * ip_cv.drho_h_eff_dp_GR * div_u_dot * NT * w;
+
+ // dfT_4/dp_cap
+ // d (MTu * u_dot)/dp_cap
+ local_Jac
+ .template block<temperature_size, W_size>(temperature_index,
+ W_index)
+ .noalias() -= NTT * ip_cv.drho_h_eff_dp_cap * div_u_dot * NT * w;
+
+ // dfT_4/dT
+ // d (MTu * u_dot)/dT
+ local_Jac
+ .template block<temperature_size, temperature_size>(
+ temperature_index, temperature_index)
+ .noalias() += NTT * ip_cv.drho_h_eff_dT * div_u_dot * NT * w;
+
+ KTT.noalias() += gradNTT * ip.lambda * gradNT * w;
+
+ // d KTT/dp_GR * T
+ local_Jac
+ .template block<temperature_size, C_size>(temperature_index,
+ C_index)
+ .noalias() += gradNTT * ip_cv.dlambda_dp_GR * gradT * Np * w;
+
+ // d KTT/dp_cap * T
+ local_Jac
+ .template block<temperature_size, W_size>(temperature_index,
+ W_index)
+ .noalias() += gradNTT * ip_cv.dlambda_dp_cap * gradT * Np * w;
+
+ // d KTT/dT * T
+ local_Jac
+ .template block<temperature_size, temperature_size>(
+ temperature_index, temperature_index)
+ .noalias() += gradNTT * ip_cv.dlambda_dT * gradT * NT * w;
+
+ // fT_1
+ fT.noalias() -= NTT * rho_u_eff_dot * w;
+
+ // dfT_1/dp_GR
+ local_Jac
+ .template block<temperature_size, C_size>(temperature_index,
+ C_index)
+ .noalias() += NpT / dt * ip_cv.drho_u_eff_dp_GR * Np * w;
+
+ // dfT_1/dp_cap
+ local_Jac
+ .template block<temperature_size, W_size>(temperature_index,
+ W_index)
+ .noalias() += NpT / dt * ip_cv.drho_u_eff_dp_cap * Np * w;
+
+ // dfT_1/dT
+ // MTT
+ local_Jac
+ .template block<temperature_size, temperature_size>(
+ temperature_index, temperature_index)
+ .noalias() += NTT * ip_cv.drho_u_eff_dT / dt * NT * w;
+
+ // fT_2
+ fT.noalias() +=
+ gradNTT * (ip.rhoGR * h_G * w_GS + ip.rhoLR * h_L * w_LS) * w;
+
+ // dfT_2/dp_GR
+ local_Jac
+ .template block<temperature_size, C_size>(temperature_index,
+ C_index)
+ .noalias() -=
+ // dfT_2/dp_GR first part
+ gradNTT * ip_cv.drho_GR_h_w_eff_dp_GR_Npart * Np * w +
+ // dfT_2/dp_GR second part
+ gradNTT * ip_cv.drho_GR_h_w_eff_dp_GR_gradNpart * gradNp * w;
+
+ // dfT_2/dp_cap
+ local_Jac
+ .template block<temperature_size, W_size>(temperature_index,
+ W_index)
+ .noalias() -=
+ // first part of dfT_2/dp_cap
+ gradNTT * (-ip_cv.drho_LR_h_w_eff_dp_cap_Npart) * Np * w +
+ // second part of dfT_2/dp_cap
+ gradNTT * (-ip_cv.drho_LR_h_w_eff_dp_cap_gradNpart) * gradNp * w;
+
+ // dfT_2/dT
+ local_Jac
+ .template block<temperature_size, temperature_size>(
+ temperature_index, temperature_index)
+ .noalias() -= gradNTT * ip_cv.drho_GR_h_w_eff_dT * NT * w;
+
+ // fT_3
+ fT.noalias() +=
+ NTT * (ip.rhoGR * w_GS.transpose() + ip.rhoLR * w_LS.transpose()) *
+ b * w;
+
+ // ---------------------------------------------------------------------
+ // - displacement equation
+ // ---------------------------------------------------------------------
+
+ KUpG.noalias() -= (BuT * alpha_B * m * Np) * w;
+
+ // dfU_2/dp_GR part i.e. part of the d(KUpG*p_GR)/dp_GR derivative is
+ // dKUpG/dp_GR + KUpG. The former is zero, the latter is handled below.
+
+ KUpC.noalias() += (BuT * alpha_B * s_L * m * Np) * w;
+
+ // dfU_2/dp_LR part i.e. part of the d(KUpC*p_cap)/dp_LR derivative is
+ // dKUpC/dp_LR + KUpC. The latter is handled below, the former here:
+ local_Jac
+ .template block<displacement_size, W_size>(displacement_index,
+ W_index)
+ .noalias() += BuT * alpha_B * ip_cv.ds_L_dp_cap * pCap * m * Np * w;
+
+ local_Jac
+ .template block<displacement_size, displacement_size>(
+ displacement_index, displacement_index)
+ .noalias() += BuT * ip_cv.C * Bu * w;
+
+ // fU_1
+ fU.noalias() -= (BuT * ip.sigma_eff - Nu_op.transpose() * rho * b) * w;
+
+ // KuT
+ local_Jac
+ .template block<displacement_size, temperature_size>(
+ displacement_index, temperature_index)
+ .noalias() -= BuT * (ip_cv.C * ip.alpha_T_SR) * NT * w;
+
+ /* TODO (naumov) Test with gravity needed to check this Jacobian part.
+ local_Jac
+ .template block<displacement_size, temperature_size>(
+ displacement_index, temperature_index)
+ .noalias() += Nu_op.transpose() * ip_cv.drho_dT * b * Nu_op * w;
+ */
+
+ if (_process_data.apply_mass_lumping)
+ {
+ MCpG = MCpG.colwise().sum().eval().asDiagonal();
+ MCpC = MCpC.colwise().sum().eval().asDiagonal();
+ MWpG = MWpG.colwise().sum().eval().asDiagonal();
+ MWpC = MWpC.colwise().sum().eval().asDiagonal();
+ }
+ } // int_point-loop
+
+ // --- Gas ---
+ // fC_4
+ fC.noalias() -= LCpG * gas_pressure + LCpC * capillary_pressure +
+ LCT * temperature + MCpG * gas_pressure_dot +
+ MCpC * capillary_pressure_dot + MCT * temperature_dot +
+ MCu * displacement_dot;
+
+ local_Jac.template block<C_size, C_size>(C_index, C_index).noalias() +=
+ LCpG + MCpG / dt;
+ local_Jac.template block<C_size, W_size>(C_index, W_index).noalias() +=
+ LCpC + MCpC / dt;
+ local_Jac
+ .template block<C_size, temperature_size>(C_index, temperature_index)
+ .noalias() += LCT + MCT / dt;
+ local_Jac
+ .template block<C_size, displacement_size>(C_index, displacement_index)
+ .noalias() += MCu / dt;
+
+ // --- Capillary pressure ---
+ // fW_4
+ fW.noalias() -= LWpG * gas_pressure + LWpC * capillary_pressure +
+ LWT * temperature + MWpG * gas_pressure_dot +
+ MWpC * capillary_pressure_dot + MWT * temperature_dot +
+ MWu * displacement_dot;
+
+ local_Jac.template block<W_size, W_size>(W_index, W_index).noalias() +=
+ LWpC + MWpC / dt;
+ local_Jac.template block<W_size, C_size>(W_index, C_index).noalias() +=
+ LWpG + MWpG / dt;
+ local_Jac
+ .template block<W_size, temperature_size>(W_index, temperature_index)
+ .noalias() += LWT + MWT / dt;
+ local_Jac
+ .template block<W_size, displacement_size>(W_index, displacement_index)
+ .noalias() += MWu / dt;
+
+ // --- Temperature ---
+ // fT_4
+ fT.noalias() -= KTT * temperature + MTu * displacement_dot;
+
+ local_Jac
+ .template block<temperature_size, temperature_size>(temperature_index,
+ temperature_index)
+ .noalias() += KTT;
+ local_Jac
+ .template block<temperature_size, displacement_size>(temperature_index,
+ displacement_index)
+ .noalias() += MTu / dt;
+
+ // --- Displacement ---
+ // fU_2
+ fU.noalias() -= KUpG * gas_pressure + KUpC * capillary_pressure;
+
+ local_Jac
+ .template block<displacement_size, C_size>(displacement_index, C_index)
+ .noalias() += KUpG;
+ local_Jac
+ .template block<displacement_size, W_size>(displacement_index, W_index)
+ .noalias() += KUpC;
}
template <typename ShapeFunctionDisplacement, typename ShapeFunctionPressure,
diff --git a/ProcessLib/TH2M/Tests.cmake b/ProcessLib/TH2M/Tests.cmake
index 1c34a3537bfed0e87af643c1f467de6a3796721f..ea7d68981fe3a102d2993751c6a9be87ce3f1dd4 100644
--- a/ProcessLib/TH2M/Tests.cmake
+++ b/ProcessLib/TH2M/Tests.cmake
@@ -1,6 +1,8 @@
if (NOT OGS_USE_MPI)
OgsTest(PROJECTFILE TH2M/HM/flow_fully_saturated.prj RUNTIME 1)
+ OgsTest(PROJECTFILE TH2M/HM/flow_fully_saturated_newton.xml RUNTIME 1)
OgsTest(PROJECTFILE TH2M/HM/flow_fully_saturated_gas.prj RUNTIME 1)
+ OgsTest(PROJECTFILE TH2M/HM/flow_fully_saturated_gas_newton.xml RUNTIME 1)
OgsTest(PROJECTFILE TH2M/HM/Confined_Compression/HM_confined_compression_gas.prj RUNTIME 50)
OgsTest(PROJECTFILE TH2M/HM/Confined_Compression/HM_confined_compression_liquid.prj RUNTIME 50)
OgsTest(PROJECTFILE TH2M/THM/Confined_Compression/THM_confined_compression_gas.prj RUNTIME 55)
@@ -57,6 +59,29 @@ AddTest(
result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu
saturation saturation 1e-8 1e-8
)
+AddTest(
+ NAME TH2M_T_1d_dirichlet_newton
+ PATH TH2M/T/T_1d_dirichlet
+ EXECUTABLE ogs
+ EXECUTABLE_ARGS T_1d_dirichlet_newton.xml
+ WRAPPER time
+ TESTER vtkdiff
+ REQUIREMENTS NOT OGS_USE_MPI
+ DIFF_DATA
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu gas_pressure_interpolated gas_pressure_interpolated 3e-6 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu capillary_pressure_interpolated capillary_pressure_interpolated 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu temperature_interpolated temperature_interpolated 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu displacement displacement 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu liquid_pressure_interpolated liquid_pressure_interpolated 3e-6 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu velocity_gas velocity_gas 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu velocity_liquid velocity_liquid 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu sigma sigma 4e-6 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu epsilon epsilon 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu liquid_density liquid_density 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu gas_density gas_density 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu porosity porosity 1e-8 1e-8
+ result_TH2M_T_dirichlet_ts_34_t_4000.000000.vtu T_1d_dirichlet_newton_ts_34_t_4000.000000.vtu saturation saturation 1e-8 1e-8
+)
# TH2M 2d linear elastic mechanics w/ neumann BC
AddTest(
@@ -97,6 +122,29 @@ AddTest(
result_TH2M_M_ts_2_t_2.000000.vtu result_TH2M_M_ts_2_t_2.000000.vtu saturation saturation 1e-8 1e-8
)
+AddTest(
+ NAME TH2M_M_2d_neumann_newton
+ PATH TH2M/M/M_2d_neumann
+ EXECUTABLE ogs
+ EXECUTABLE_ARGS M_2d_neumann_newton.xml
+ WRAPPER time
+ TESTER vtkdiff
+ REQUIREMENTS NOT OGS_USE_MPI
+ DIFF_DATA
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu gas_pressure_interpolated gas_pressure_interpolated 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu capillary_pressure_interpolated capillary_pressure_interpolated 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu temperature_interpolated temperature_interpolated 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu displacement displacement 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu liquid_pressure_interpolated liquid_pressure_interpolated 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu velocity_gas velocity_gas 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu velocity_liquid velocity_liquid 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu sigma sigma 6e-7 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu epsilon epsilon 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu liquid_density liquid_density 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu gas_density gas_density 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu porosity porosity 1e-8 1e-8
+ result_TH2M_M_ts_2_t_2.000000.vtu M_2d_neumann_newton_ts_2_t_2.000000.vtu saturation saturation 1e-8 1e-8
+)
# TH2M THM point_heatsource benchmark
AddTest(
@@ -138,6 +186,30 @@ AddTest(
result_point_heatsource_ts_5_t_100000.000000.vtu result_point_heatsource_ts_5_t_100000.000000.vtu saturation saturation 1e-8 1e-8
)
+AddTest(
+ NAME TH2M_THM_point_heatsource_newton
+ PATH TH2M/THM/sphere
+ RUNTIME 40
+ EXECUTABLE ogs
+ EXECUTABLE_ARGS point_heatsource_newton.xml
+ WRAPPER time
+ TESTER vtkdiff
+ REQUIREMENTS NOT OGS_USE_MPI
+ DIFF_DATA
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu gas_pressure_interpolated gas_pressure_interpolated 7e-7 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu capillary_pressure_interpolated capillary_pressure_interpolated 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu temperature_interpolated temperature_interpolated 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu displacement displacement 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu liquid_pressure_interpolated liquid_pressure_interpolated 7e-7 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu velocity_gas velocity_gas 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu velocity_liquid velocity_liquid 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu sigma sigma 4e-7 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu epsilon epsilon 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu liquid_density liquid_density 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu gas_density gas_density 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu porosity porosity 1e-8 1e-8
+ result_point_heatsource_ts_5_t_100000.000000.vtu point_heatsource_newton_ts_5_t_100000.000000.vtu saturation saturation 1e-8 1e-8
+)
# TH2M Thermohydromechanics in a slab
AddTest(
@@ -179,6 +251,30 @@ AddTest(
result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu saturation saturation 1e-8 1e-8
)
+AddTest(
+ NAME TH2M_THM_THM_1d_dirichlet_newton
+ PATH TH2M/THM/slab
+ RUNTIME 15
+ EXECUTABLE ogs
+ EXECUTABLE_ARGS THM_1d_dirichlet_newton.xml
+ WRAPPER time
+ TESTER vtkdiff
+ REQUIREMENTS NOT OGS_USE_MPI
+ DIFF_DATA
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu gas_pressure_interpolated gas_pressure_interpolated 3e-6 2e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu capillary_pressure_interpolated capillary_pressure_interpolated 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu temperature_interpolated temperature_interpolated 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu displacement displacement 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu liquid_pressure_interpolated liquid_pressure_interpolated 3e-6 2e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu velocity_gas velocity_gas 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu velocity_liquid velocity_liquid 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu sigma sigma 4e-6 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu epsilon epsilon 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu liquid_density liquid_density 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu gas_density gas_density 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu porosity porosity 1e-8 1e-8
+ result_1d_dirichlet_slab_ts_5_t_100000.000000.vtu THM_1d_dirichlet_newton_ts_5_t_100000.000000.vtu saturation saturation 1e-8 1e-8
+)
# TH2M Heatpipe w/ static gas phase in radial domain
AddTest(
@@ -406,7 +502,7 @@ AddTest(
results_heatpipe_radial_ts_10_t_1000000.000000.vtu results_heatpipe_radial_ts_10_t_1000000.000000.vtu xnCG xnCG 1e-8 1e-8
- results_heatpipe_radial_ts_10_t_1000000.000000.vtu results_heatpipe_radial_ts_10_t_1000000.000000.vtu xmCG xmCG 1e-8 1e-8
+ results_heatpipe_radial_ts_10_t_1000000.000000.vtu results_heatpipe_radial_ts_10_t_1000000.000000.vtu xmCG xmCG 2e-8 1e-8
results_heatpipe_radial_ts_10_t_1000000.000000.vtu results_heatpipe_radial_ts_10_t_1000000.000000.vtu xmWL xmWL 1e-8 1e-8
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton.xml b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..756248341599945e46150d6ff7002f043d7a5375
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="flow_fully_saturated_gas.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">flow_fully_saturated_gas_newton</replace>
+ <replace msel="/*/test_definition/vtkdiff/regex/text()">flow_fully_saturated_gas_newton_ts_.*.vtu</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_1_t_1.000000.vtu b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_1_t_1.000000.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..ed9d4a9237160b56ff2eb43072471ed7a7567abf
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_1_t_1.000000.vtu
@@ -0,0 +1,48 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="22" format="appended" RangeMin="45" RangeMax="103" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="8.372123689e-13" RangeMax="3.6305644768e-11" offset="276" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="900" format="appended" RangeMin="0" RangeMax="0" offset="22724" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="0.013178612662" RangeMax="0.57148944237" offset="22808" />
+ </FieldData>
+ <Piece NumberOfPoints="341" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-0.00010000000062" RangeMax="0.00010000000062" offset="40628" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="41056" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="-5.9428570106e-10" RangeMax="5.9428569596e-10" offset="41568" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="-5.9428570106e-10" RangeMax="5.9428569596e-10" offset="42480" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="9.2857142719e-12" offset="44764" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="1.5957911446e-26" RangeMax="3.7142857143e-11" offset="49056" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1" RangeMax="1" offset="58012" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="0" RangeMax="1" offset="58184" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="0" RangeMax="1" offset="58544" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1" RangeMax="1" offset="59296" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="0" RangeMax="1" offset="59468" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.1" RangeMax="0.1" offset="60164" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0" RangeMax="0" offset="60328" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="1.3562798488e-16" RangeMax="0.58466805513" offset="60408" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="0" RangeMax="298.15583048" offset="67576" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="298.15" RangeMax="298.15583048" offset="67864" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="0.00099999999703" RangeMax="0.0010000000045" offset="68448" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="0.001" RangeMax="0.001" offset="72144" />
+ </PointData>
+ <CellData>
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0" RangeMax="0" offset="75580" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.4142135624" offset="75648" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="77104" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="78844" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="79112" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
+ 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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_2_t_2.000000.vtu b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_2_t_2.000000.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..cdc73b2ec6bf8228759d453b5a6226f477139c5b
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_gas_newton_ts_2_t_2.000000.vtu
@@ -0,0 +1,48 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="22" format="appended" RangeMin="45" RangeMax="103" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="8.3721237139e-13" RangeMax="3.6305644771e-11" offset="276" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="900" format="appended" RangeMin="0" RangeMax="0" offset="22708" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="0.013178612702" RangeMax="0.57148944243" offset="22792" />
+ </FieldData>
+ <Piece NumberOfPoints="341" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-0.0001" RangeMax="0.0001" offset="40804" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="41212" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="-1.3842426329e-17" RangeMax="1.7506467745e-18" offset="41708" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="-1.3842426329e-17" RangeMax="1.7506467745e-18" offset="42896" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="9.2857142857e-12" offset="46008" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="1.0805986934e-26" RangeMax="3.7142857143e-11" offset="50308" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1" RangeMax="1" offset="59260" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="0" RangeMax="1" offset="59432" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="0" RangeMax="1" offset="59768" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1" RangeMax="1" offset="60468" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="0" RangeMax="1" offset="60640" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.1" RangeMax="0.1" offset="61340" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="0" RangeMax="0" offset="61504" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="1.1030265706e-16" RangeMax="0.58466805513" offset="61584" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="0" RangeMax="298.15053296" offset="68732" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="298.15" RangeMax="298.15053296" offset="69036" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="0.001" RangeMax="0.001" offset="69668" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="0.001" RangeMax="0.001" offset="73088" />
+ </PointData>
+ <CellData>
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="0" RangeMax="0" offset="76508" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.4142135624" offset="76576" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="78032" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="79772" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="80040" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_newton.xml b/Tests/Data/TH2M/HM/flow_fully_saturated_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..d920a82989ad1bddda8b074da1f67c7a7a6fb403
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_newton.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="flow_fully_saturated.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">flow_fully_saturated_newton</replace>
+ <replace msel="/*/test_definition/vtkdiff/regex/text()">flow_fully_saturated_newton_ts_.*.vtu</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_1_t_1.000000.vtu b/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_1_t_1.000000.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..721ba83dbc0d174922538511e3195fbe04f37ec4
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_1_t_1.000000.vtu
@@ -0,0 +1,48 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
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+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_2_t_2.000000.vtu b/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_2_t_2.000000.vtu
new file mode 100644
index 0000000000000000000000000000000000000000..37a1d96e7d934eb6a7a42449cb768a4f6fa3fa05
--- /dev/null
+++ b/Tests/Data/TH2M/HM/flow_fully_saturated_newton_ts_2_t_2.000000.vtu
@@ -0,0 +1,48 @@
+<?xml version="1.0"?>
+<VTKFile type="UnstructuredGrid" version="1.0" byte_order="LittleEndian" header_type="UInt64" compressor="vtkZLibDataCompressor">
+ <UnstructuredGrid>
+ <FieldData>
+ <DataArray type="Int8" Name="IntegrationPointMetaData" NumberOfTuples="238" format="appended" RangeMin="34" RangeMax="125" offset="0" />
+ <DataArray type="Int8" Name="OGS_VERSION" NumberOfTuples="22" format="appended" RangeMin="45" RangeMax="103" offset="192" />
+ <DataArray type="Float64" Name="epsilon_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="8.3721237139e-13" RangeMax="3.6305644771e-11" offset="276" />
+ <DataArray type="Float64" Name="saturation_ip" NumberOfTuples="900" format="appended" RangeMin="1" RangeMax="1" offset="22692" />
+ <DataArray type="Float64" Name="sigma_ip" NumberOfComponents="4" NumberOfTuples="900" format="appended" RangeMin="0.013178612702" RangeMax="0.57148944243" offset="22792" />
+ </FieldData>
+ <Piece NumberOfPoints="341" NumberOfCells="100" >
+ <PointData>
+ <DataArray type="Float64" Name="HydraulicFlow" format="appended" RangeMin="-4.5989945488e-28" RangeMax="5.7816473768e-28" offset="40628" />
+ <DataArray type="Float64" Name="NodalForces" NumberOfComponents="2" format="appended" RangeMin="3.1622776602e+149" RangeMax="-nan" offset="42040" />
+ <DataArray type="Float64" Name="capillary_pressure" format="appended" RangeMin="-1" RangeMax="0" offset="42508" />
+ <DataArray type="Float64" Name="capillary_pressure_interpolated" format="appended" RangeMin="-1" RangeMax="0" offset="42832" />
+ <DataArray type="Float64" Name="displacement" NumberOfComponents="2" format="appended" RangeMin="0" RangeMax="9.2857142857e-12" offset="43496" />
+ <DataArray type="Float64" Name="epsilon" NumberOfComponents="4" format="appended" RangeMin="1.2019295926e-26" RangeMax="3.7142857143e-11" offset="47792" />
+ <DataArray type="Float64" Name="gas_density" format="appended" RangeMin="1" RangeMax="1" offset="56744" />
+ <DataArray type="Float64" Name="gas_pressure" format="appended" RangeMin="-2.5660521294e-28" RangeMax="1.8320999423e-28" offset="56916" />
+ <DataArray type="Float64" Name="gas_pressure_interpolated" format="appended" RangeMin="-2.5660521294e-28" RangeMax="1.8320999423e-28" offset="58060" />
+ <DataArray type="Float64" Name="liquid_density" format="appended" RangeMin="1" RangeMax="1" offset="61080" />
+ <DataArray type="Float64" Name="liquid_pressure_interpolated" format="appended" RangeMin="0" RangeMax="1" offset="61252" />
+ <DataArray type="Float64" Name="porosity" format="appended" RangeMin="0.1" RangeMax="0.1" offset="61920" />
+ <DataArray type="Float64" Name="saturation" format="appended" RangeMin="1" RangeMax="1" offset="62084" />
+ <DataArray type="Float64" Name="sigma" NumberOfComponents="4" format="appended" RangeMin="1.4602462439e-16" RangeMax="0.58466805513" offset="62256" />
+ <DataArray type="Float64" Name="temperature" format="appended" RangeMin="0" RangeMax="298.15" offset="69412" />
+ <DataArray type="Float64" Name="temperature_interpolated" format="appended" RangeMin="298.15" RangeMax="298.15" offset="69604" />
+ <DataArray type="Float64" Name="velocity_gas" NumberOfComponents="2" format="appended" RangeMin="3.9384443476e-33" RangeMax="3.5414867942e-30" offset="69884" />
+ <DataArray type="Float64" Name="velocity_liquid" NumberOfComponents="2" format="appended" RangeMin="0.001" RangeMax="0.001" offset="76484" />
+ </PointData>
+ <CellData>
+ <DataArray type="Float64" Name="saturation_avg" format="appended" RangeMin="1" RangeMax="1" offset="79800" />
+ </CellData>
+ <Points>
+ <DataArray type="Float64" Name="Points" NumberOfComponents="3" format="appended" RangeMin="0" RangeMax="1.4142135624" offset="79872" />
+ </Points>
+ <Cells>
+ <DataArray type="Int64" Name="connectivity" format="appended" RangeMin="" RangeMax="" offset="81328" />
+ <DataArray type="Int64" Name="offsets" format="appended" RangeMin="" RangeMax="" offset="83068" />
+ <DataArray type="UInt8" Name="types" format="appended" RangeMin="" RangeMax="" offset="83336" />
+ </Cells>
+ </Piece>
+ </UnstructuredGrid>
+ <AppendedData encoding="base64">
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zLeE/x/OxyiXrf1/JYA3Av/Vk/Bvd/8uj4K7Ggo/JbwBtywZ0fFl3Cq+H/HfN9xUc3cXshXGqykZeGx//6NqzINPDjBXIctLt390+NTWbygtl/E2qmdb52Ij7s7gb+Pc5uPcFtMf290a2I3azo7XkbfzqzfAYt4V7IH8j4+tT+b6Z8Z3dOPEzA/fi50sRcL1+8xCjg4Kfp8DXhuYoNT+zu8NK5ot8HHz8nCtmBO5suufrbL4c/DsCHDMSusWjervmA39mjRx/vxQaUG3ltUbqBSeZFfLhsvzAwES9qnZRjPh4ELiXdGSD6Y3u+WwX/EzcPBBqMPBLD+ejIYK/VWX8beTYer3l6BNsGvi3Obi3GXRSwO1D9oHHuR7yNvDbQcfbJTLPf/lZS8bXP6H3WsVoOk47zYh/y8G9z6DMwDHwUYEHbyjLn0I3x/h1jEx1YfWRP4JPmjPL82tBmCc7CP5NAPemQbc1s1q384UL3408Hn4S9PXaFVtM3+5nvsivwy+BPluWXLxuQxxLA//i959iKzRcv8vbgtdJ/ALyHfB3Qlese+nu92Yzv4PcD74XdN+vPJOyhfGCf43BvQugJ120wjqM28+1kRNXEx/3edQw+WVyKCP+Jt8M6qD4ej9R5zjzAf8eAPc6Ql8PCxm27d3/8n3wSVuGLat8qBTPLJEbwp8HLZ/e6denQSmsGPx7H9x7G+od92n3UYtY/ht5PXB1HegfrtrkyUdHDj5TXMFz4DRF6senTWd/OM7zwL/jwb0Mqrs+ZsM6lyh+Gbk2/MnQdnb+QWV1DrJcWS5B/fYXpKXrBbIA8K+FXw33FkBfzOu2RffKKdbTvCZfXsO/Ch/ogjEth/Uv9WGjkGfDz4Cmfa6/dUSfQ2xxTS4drvm+Ugfo8x27Ln2/EM3ywM8twNfR4OdVMU02PPt6hs3B8xPw3Bd83euP1doN3eKZFvg3H9ybBz088ZuWQ9Nzgq/xvkN6gzywTdKbXcXHmBnysTJ+roj9aVSYlszMwb/zwL020OVH9GZUlK9gNshd4TtCF3Q/OytoWgDbgvwS/JPQmNCyW8ouvmwh+HcAuHcKtLOP49mgn2ncGvki+P9ArV59TFz0Lx9uQO4Gfx20SprU6tCDXM7AK7PBvUZQp+at3/ZatVLwsR78udAFTcs6Gy3xZhOQG8A3ge5e5PzJ4UUUuwj+3QPu3Q29q2z3umF5FjtVCx9bfHv/qP6GDOaHnMGfD534U0nJ4FQO2wD+jQL3kqYdi7tfefYKt0MeDJ84uWxLduHlvgXcDXkkfPQDksvJH7MrIwp4XfBvHrj3FrRnUKtVjTqc5fWQ34f/AOow6O1RbunBmyCvhv8OGn97lc3gjH9/PsG/meDj19BvFXoB3nnXmCTj51/QpO83LvVvks3GIh8EbkY/I2UO7335ar9LbAz4ty24Fz2SFBU+xK1L63SujlwNPn4/Ss3r/ug4JTKMj0OuB38stI3ThTUHikMEP/fGz8FgaGnW16slmt58HfLx8EmVU4+a2NX3pN/vkhZ89GRSWkjeg9QpHuwM+HcmuFeX+Pni8CRVj1SmQE7c/A/08N3Hh+4NimfHkY+ErwmNP/Rknu+HaHYR/NsO3NsWet8v7+1L/dNsNXLi5gJon7mGJaWWBpz4W1nG3+Gt+2tZRPryO+Dfj+Dn39Dn6r3en/sewkqRNwAX1ydOHqy95MXmM4z4uSf8tlD1hZWjE5oWshvg37Pg3mJorvvioo+zrzJj8LMu+JhUfe+2QAeezArx/B889wja99vp8DIpk/3p8//7Z3yd4stu22v6zyw49c8NZPy8qeJVklfCGsHP9Dzx8xwVtfUNtfYIfpbzr0v6roH9DPaL/KuMn0fM6XRAz3MNz0eO9ydCH9y3tRg/ewIjfiYupv5455PS5/fjlov8JXzSJOWQxaaGFpz4Wt4/3+j+Qn2/w+Fa+dkwe+6uWL0hop+W4JNWxs9UXVu1hvkgHw+fNFtl+7SgKjNOfEy9MWm/NWuVtH3tRE5cTbpi87T4Q1lugp814JMOKTBd3GfACTZExs9qpHHLr61v7ULvrxVj4OP9s6L99O6L7E8Fs8HI+8In7eLnsv6HajQbB/7F65biO1SzdcsWdoZpnPi6BbiZOHvmJuXHk1UmsYnIqZem77N7hs/8YTyW4fVZgddfoaoN6vjbKjzo9VmB12XFQ2hLU95n0Fibv/j6CdTt5K87jy0Pc2fwL/oXBfoXRa+WLSdk/cu/lKN3Ebp+v2bv5hpLOfFzEXzSgxOmebYN2if4eBu41474NyLm0rKsvdwZuQF8/J5UnD/oo9c634Sjf1Kshr8SOq/025e3ZV5Mwr9v4t6F0GbWJjs+dDrP0GcIvp4P7f3dqnxPQDQbgxxcoJgHdTIeHFDa4hjzA/96gHsPQW153YMmDVPYZeSx8GOgbXhl/6pHCcwL+Ub4dtDzsRs8Yh9HC35+CO4thbavM8bC9qob9ZeCi9FfKr6P+V3YouMm5oXcB34Q9KZa0aBRVl7sHPhXFdw7EHo7I0bTp2swK0c+C74BdMvVfefnHghjachHwteAPgwqXVrgGMJ6La3hXzv0xo1P1uj+Zocma6/z4mng6wpwdV18nZl3nze2amHsGfII+POgGXda7TUZ6MHmgX8XgH/rQlOsztTNrxPPNJFfARfnQrWaan1e0u4UO4P+OQDPPYHGNnAJ27bKmxuAf4PAvcTR78/3zlSK3cZ2Iv8Evwrqs1l/iM8dR+aIvDf4uSXUMi2j3qIp6twJ/GsK7t0PfaKyODnmXQY7jtwffjC0uOvh8JMDfVgp8tY175ukN9RDf9180azcix0E/2qCe5dCfxq3ePFa4c0tkM+Ej/dxUuWk0rG+dxO4LfIj8NdCJzltzDsRlcmJj4mfiYPVWw8tKn3kzKg3nAmfvm7V4F1Hih8GsoHIdeBPp3763rCju/d5sRzw70lwrzO0SXrnZh65OaJ/toGPv//SIP3Q67N3Z7EDyMfBnwF9EL12WOT4LOYI/sXrkpQOter1+zu3KqB+QEqGT/p5lIVbjCKPeyJHvyBlQJs+GjnFVzuH//nvnxIpE9x7HVpQZrrg3gtbwdc34N+D5k/pvOTq/WWiv8bnhtJzaDsTVd+KAycEP2eBi/E5p3Ts6VSfizm3BD+jf5Hwe0RaofL23LpxOWwEciVw8xfkuYZdP73RzmTasv55BPRPuObzJOuL1C9JA2T83PfM6x/rjSNFTv2zBrSZ2eEknQXBfCn4tw9+DoifP/oP6BHWM4SvQY7XYaE3rF6w6eOOsiXI6eeQ+ueLq6yLN6T4sXAZP0+Hzo2KVSRbJwp+XijjZ8sDOsWPP8Yxd+TD4I+ALvZUm9ZsWzxLk/FzG+jvypedDb7FszXIi8HNRdAraa8sh9Y151my54mfR2mqvcqY6i76Z+wLpD/QdVebfA0Ic2LE1/XAxaROl4b/src7zR4j7ybrnxuN8Ft7pF8xuwX+PQfuvQrV7vchaPKXYrYA/DwX3DwbOk577rR58f/jZ/TD0kNoQt724u6rc/7iZ9LHNl1dnu8bLPJ6Mj6uaN/rwbpPtvyX7Hnqoa9nsfKvett5HvhX3i9vmKj57fgre5Yr4+NP0JBvk/95lGgq8i8yfvZd/f3Qmxf7uIusXyad+lOvoG73rUzOx8TPnQ01J6ZO3sNdZfsOygdF1B3QzM+Ry/mXeuRFz6udeoR5/MXHlK9ZKd27s8iuVn72SZlY1eytIaP+Wb7f6Nv2+Mcl7vbMshY+Hq8yptelGftr3XfcLX9feWhjINMA/w4B9w6GjlnzwNh1mIfIqXcmLX/aNPiHoU+t+43K3k/GplY6iX3GH3AvqUnV+WUvU7yYBvLn8F9A5670tBis6sEHIb8Lvww6wWOIbbGaK5PzL6n/ZVbxdoaf6JeJm0k9Q+pv0UhzEPxNfE2aEbsoWWtPJMfnl4pUGT9HvV5/sNk4zo4jx+eeigKoi1/f5c8ijrNQ5Lfhk85f33jB5eUJgp83gXu3Q9csXjPRZFQsC0FuAd8aemJQC6Nes9ZxBXL0Uwr0U4qeXeK8Lw4+wYl/9cG9xMFzVLq/2TEwVvC1Kfx/oK9c6z40vOzOJiIn7qb++svoZkvtE2KJPxQGsv44o9Ox+0de/ss/yPfCJ/VO6dMz4GuM6KcdZP30nhPfnYxbRnPwkyIQ3BsKHWrX+NVcR0/mgzwEfjhU5dbgjWO+uXFf5BHwSQeZDVu7abs7vwr+1QT3ToJu/OfA12suCewpciP486C9H1rFBFdt4Bw59c6joa4HWodHqERyffDzPHDzMmiwxuvzp0vPMWvkKfCPQKtPM+eRE06wV+DnLHDzYui4/FF1Yh7M4v3Ax7vAxcFQq7igJmlnUlh35Cbw3aG3KsNOaWacZB2Qq8O3h25bkzx3bckxvhz8Gwkuvg11zdDv9H5DCNuG/DF84uiEGI3tOX/2MgvkxNVvoS+/atpfbxTOz4N/HcC9cVD7S5NVVgV7s2XILeGvh6oM7/I2vtqUB8r652So66+oUP/ENN4H/PvUtoZ7W4J/Hfy9I7pLaZz2Havg077jaMcd5WcMLvBVyDfAXwbdEDbWwfdHASf+nQzuJQ7OfmP6IfdIjODjifCnQWPdXznFOjrUmsc8vrxg4o6TPBz8uw7cS/uMeZ/D5/a4lSf2GdQrL4HeePV0+tRlF9g+5P3gS9DNr+Y+lwID6f2/lAPuxc5M+jlyqFve8HTuhPwM/BToxsF6fyJdCnmkjK+LofZua4xPrbvCq2X8fA063f/dqBMP9/FfyEtk/bSh9s3RD+u6CX7Grk7C54vSxg9rxhxtPpL2gRIH95ZDXVp4jJ59rFTw8X34T6BX10dvyM/OYWNk/IzPN6WctvXVjkTliv65A7iXeubxyWM7WO2KF3zcT5bPn1oa72zoJ/Ybk+DTziM4JfiZ29wIvhj8Szsg2m+seNhl/6fmpxj2m6JXJk42drXbWT3hFFuEfBj8IVDdjz8Ljp5yEfuNOeBe7Eil1QntWngVZbEU5PPgkx5drXX5dHESO4q8H3zi6C2GjhsCPiUw2l90BfcqQd0dEwIK96UwG+TUO1+CWuvOsRy+0Z5nI28te37LCF1b+/JQTv0yuE/6BT3wsPhLw0eh7IaMn4mvdw806nkv9H/83At5G+itb1d7a/YsEP1zNLi3EHpjTHqvbeOuMiPwsx64eQbU8nndwepnklgRnm8M/yme3zWyZ7ekS5msrmx/Qf2z77WuXRccceGU15Xx8/kWSgd/fVvwFz//wvO7d+aeLjB1YpfAv59k/BvTME13T9RJTnmlLHfasifsj46j4G/KSR2NT2rofAj8q38m/p3W0cwg81kAp3007TNoH7186OLG53sd5E7In8An/Thlp9/cVrH0/kyBfZACn3Mo+kelzNRfGc1ry62Lk47FfbEX/ExcTbrTVnfjguuJgn+pVyb+baPW/OuwHWGif9aAT/ryaquAIWk+TJ7T93kZML30Tb8Een1QYNclVEPnj1dStHj//Bc/G5gFjs34FSL4mfYbpIfXvdDoeyKNXp8UH8G9lVDff1/x9Nx8xD76gyzvuS77QdcX2zle/xQV8ImzHz7IGNzveqrg4zLZ/qKLyoLpByojRb9MPvXLo1QqyoriDGlfJ7iZvi7jwfzX/VfHsRDZ/uIm1Da2aNe9sxd4HPKH8B9Bx3+xsX5R4Cz4Ol/G1+17D/PZonuBPp8VvTPtM7Q/bpl8um1crf3zsJbj1UcMdOShyJfDXwHV/9Polv6jdIbP+xQGsv446+oW59V9vTjtgmbBRz+mMJxyaZadXTAbh9xE1k/f+n1qa9jADJYP/j0F7g2Hruj54UPRT2/Bz/L9xkrW5JaJTwJbgdwSPj5HV/w21tZqqORO/aMC/aMC/aPi2SfHO84BnrwQ+R3qlYmzu3Upnt55B7+C/AX8e/R1Tatb2UUE8gvg36Hg3hHQegcf7J6ndZpfQ24On3rogm2ebbZf38zikC+DTzuQorWtotwaxLKh2F+cwu4iHnqiaozOYYuV3Ai5AfrnX8hbZV8Z33q4O2u+pCZfCK4OAj9rD5+RtfdYAjuP/vgheuM/UNOdnSoUz1yZA/Ybd47X+AOx35ilrpR2rcKT9avhd+kgds8tav53JAND/bGJjtFMF/y7H9x7Hhqbv0LdZ+Epthh5EfwHUDXfJr8L13uzvci7oHduAv3zefaVB8UXGPXP88G9tM9oO7ZNvXYt9oj++RR8vE+Syn9UTHv2djPbhPwi/OPQaVGXp+8c5c0PgH9HgnuXQOuG1hs0a+g50T/PlvXP9QfcPDIsM5WvR+4On/Ybw34mTtE+eF7sn7XAvbRjbrrPolFPyzROPEQ+9ct/VhkN7u2zh9M+mrib9Pq7ic9+XY9mW8G/JrL++M/sPT9m3QxkLsjnwTeCJsYuSXO5oGBrkPeHPwr68PN2pcChhcyhlv45yEnf5+6Ny9wFeZaMrzPsPwc7b8znx2T76Gzo97UDc+9WXxD9Mu2Xad/c7fRLx6BtiX/tN9BvSLaxH1zu2vvS67dUCZ84umXZl5u3lyUI/r0o4+Oxl1uN37P8pthn4PeK9BnawPbT2g+bMunzUWkA+Jn20+dtV0zyn5gv+LkjuJd65oowfv+HpYKjX5Lw+a3QaDOf3rHx/mK/MRM+7TfG5vey35+6mZuDf/vi54DeTy3z+Oj15WyA6J9pt4HXY0ltenRVkz8+Yv9MPn6/SwU2wfOSmgSK/fIscC/OX0kWMUpHDPwTWSpyE/jzoYa6UZ673ZOZN3J1+KOh4eOskz4f4+wC+LczuLc9dIxugF3nrrFsI/Jr4OarUMseOQ2bdl/G02X7adp/2EcM+9Koaju7C/6l/TPxscYh5Ysr7nsy6qcbU68M7RFh+2rR8qha++fsCR09Y22LRX8cRbsNaLZXYd2eva6I/nmOrH9WrWy7e3VAMivG8+BbqRzPH81atXiyTQ6j/UVD8C/1zIOctg90fr2X/QYf/5HxdfnSh4nj8q3F8+QTR/c+vsjJXGs3p/74u6x/3uvs/jS8hTeX98vEx6eDz5T6nz4ozg/SvoO0Y2irjGTHDfwQ+LcC3PsU6pu+71an00F/7TOIs5V6+XUYmevBnWXPk674Wu/lgjZ2nPbLtNug/tiq+mPg1g9uf/XTpFfK6zuUurhy+flD2nc43Tdd8bJcn9fWL8cta9xge4QrfX4j9s1DoUsaHex+64A57avEPpq+bhtPW5+c5856gH+7gXu7Qoe1d9eparOPXh9EL0364aTLxwxj/1qf79HLu38j10Ucr18KvG4Jjbdi5dVfz3DaZ1Av/RvayUXHyWSkO6d+ms4fkm6+9Cdv0UQPwb/ExdQ/u37XbvFt1H7qLxQV8GkfvaXXxp4dvDzF8+TT97nxvuDm3c4OnPrjW7L+eMkVXR+LcRvo94sCn1sKVfJ7/c/QEEux/8iU5XsLLVIDh+nVyr+WrQbc3Trtf/yM34tCY1zL2w64eFI8v1L2/MwbN+pKGQ4M+0zRL5MucA4ZFKd5WPTP1CuT3opzLPI/fqDW57ft2Pk8Yrcjw35UsRDcawpdr96ur6VSCvuFvAz+Hah2z8T3y6JOi/55P3zqoXV79Stqp7WfFYF/74J7b0G1htpPir+WwCm/J8tdh9qvshkfymt7/sxL/XGzhiVzP/BvL3BvV+iz2yXLLfQ9eDJy6pdpp9Gl/bhbsxr8+/cXOXF3T+j1rAsHApxceH/wsSO4OAzauf/EjwPjVVkO+uVO4OKO0PurVU03lzmw68gN4eOcn+JTlwZzC9+lsDG17DOCHdi51RqpIr8OPw86u9T7kzVfyMYhvw3/EnTRb+V9ZuviuDn4NxZcfAN6y77h2tzxE9lu5NXwf0Ptzs01LPtzgu9Djn8+UhvolYJ4Fe3f2lwN/KsM7h0DNX7k1vfOpWPMGvlO+KR6GTpzgmes4xuRn4fvDa22Ovyiu9tp7gL+nQPupZ55ZzeHI1snpvFRyIfCHwK92HWA09KidD4RuQV8bWjspgmpB54Xiv5ZF9w7A9r9oMYUHZtjvD9yOjdI6szHjVKZtUPwNT1P6hc7qyqomzd3B/+uAffSvnnEuhTLFKdChtcHwc2kvg9Pr+ipflHwcx/4GtCIpqerzFTzxH6jhLgYOnyTwduXrlf5HuT4/E06B/088Wj5mn0FPFDG1/R9nO8u0kxUvSz6Z+qXaaehNaRx1KLqIPYTOe2e6XyghWpQqXGVlzg/+AM+zolL+tXKX/rZhIl9xk1wMXFyz8hqZZvSUtr/SY3BxTiHLpWlWL0pzc5m/ZG3gl9B/XNe68F6ObGM+LcLuJf2GWeWtP94eUCE4Oeh8PH7UbI4NT1p3fyTXAe5MXzaccSNUeLKu6LFfoPeh9F+4/kH3Ws/VgSy2vjZ4PnNhpfbhDDqr+X7jTvNddaHtHZjkeBfI3CvHrQg8EbBw10X2Pla+PlEazUNa6s05oZ8MHzi6DVBQzren3ZO7De6yPh3YQfDfqtNz4r+mXYb1EPv9Glbbyg/zIm/W+A56qE7rIp9a1fXnd8D/2LXK84HHj8U/mHjp5Ni/9xQtn+2jkrPMe4cwh7K+LkVdEGB5fn6+y6x6+DfeNn+eVeVyuyCtleZGfiZzg3SjqO1+tvJwzYls2t4vq6sf97+W3EkWCmL1amlf1Z7sytnzrslon+W7zvaKsouLL6tzqr7/P/nqX++MfPZiO+dd4n++bOMn0fcq/Yv4a6if5bvO7pc3HAze7IJz5E9T3zdp3J5u3Vr3Bnx73MZ/6Yas+HjH+0R/Ez7DOLoed2bvTKwtRP8TL01fR+zihcRJVuCGN2fMRncOwka3XWZemrDszxQlhMnn0vbO7xj+jLmh1xLxtfGa5wfD7Fwo/eXgpuJg08UlR6+0DuYLZPlxMfuv/ZuLFpxQuyfqbem/jm8k2bck/Whte6frwRsMFuhZMgpJ5/u4dhSlhiWVRoi+BmvL0Jt/TrNL9u0S+yX6d4MukdDvaqsgXF0ith31IFPHP1pu2Pp4wkuIqdzg7R/NrV92rHqeSwj/n0q49+zv6xSdVV2C37Gbk5w9JRPWR4h79b8xd+k1u1uFM8vi6fz54oL4F7aNy8/vmL9kdHB3Ad5IXxS//o6Kj1cdrB45BXwn0BzPdRGtp8Wzmo7H7h7zSJVPj2eu9TCzw0XJ7w72iJY7DfoXo69UOuzTw47dAn9qz8mddmqv77vswBOPzfUT9POQ3nJI7PABxsY/bwYwqevC+s9RLfzjHDRH+NzbcHRp75umb/FJ5n5ys4XEh9ruzQKeN8ujnkj3wPfHlrgtblJzJZI5gf+jQX3RkFXnjbZqrFxmzgfSLtn0mbhBuParXTlBcjx+b6iBPra6HSMrsZpFgP+xT5X0Re6OG3T7nbmLjwWuQr8PtCJj0recLujPBq5koyfSydNX37/4DE2Cfz8Ddx8C9r/e78JXg5u7Ar4WA9cPAT6fnCnSufMjUzC8+/x3A2oyUynzkmh9jwE/bMdeucb0LOm90KVGzsxVfDxUnCxF3TCXucbnULtqR+XAuDHQZvPLNhvHufGrcG/Z2T7jXpPE784S0a18nP3uzFWzz/P4juQj5Ltn/uaxqgWqx5iLuBfW9pdQFNU1ywf8c2er0BOu+i9UPviHCUXbWdxfjAX/gloSbmrzpGFK9kg8O8f7Dc6g3+NJzV1aLwiTdy/4Qwf7+Mkh5N5Dh12pvONyI/Dpx2HxvDV3YNvZwn+pXszaOc8ft6IxlatvXg/5NQ7U7/8q9+Gbt8+HmH0eftM2fNpgXdN6m334p7gX+y6JEvosug7mvoGmaJ/pn6aeuiOL+59H5eaxVYj7wlfHZps0rjB1xlZbDv4F69bgpMvl2jcLo++Jvpn2ncQJ1t4Zb5tH/u//XOirJ/WbF099lznTP4DfJwD7r0KjfrzZfZR82CRUy9N+w3HTT9eW3bZI/rpT/Bpv/HFIeTH1ocJYv+cDe59A1X71PFn6LfbtA8U5wpfQldrzNF3t85mQ5F3Az9/Qt7vVyc3Fd1UOl8vtQb39oKq6Nrt+x2a8hc/DyGOvqT/T0r3vXw8cgP4DNrqx4NtTQcEMeqf6fwgvR9bmzfm4IpxwYKf6Zwq8XPfpC6tFnQ+K/bPdA4Vr+fS77cmbnVbh4j+eQa4F/cYSDqq66cXWP9vv0HcTPuN9Ox6C8feTRf75+Hwaf/8K+lMVsEEBUsG/xI3EwcnZvepjLyTyKyQ54Obc6Gq9xq8W5R2mFH/3FrG3x8P1X2VfNNJ9M/y/XPRt5lBB+b6/8XPdI4wt/Ei1W9rzrL7yFVl/bPr/RVe2t+L2T3wbzK4l+7fiJt//JF3wBW2CPxsKOPnPolLoi+GJLF8PI9eWXqA55d1jn7oVvY/fm4i6593d4ycdr/NHpHL98+GJ+5EpH3QZ7WdH0y166ryNuNQrf1zkFKaV7/X+8W+mXpl4mTjrXV0N/d3Fv0znTukr2syTEm1UDuQH6mlP27yj+baw5UejPpp6qVpn3GuxaXIbR+9xP6Z9h3E111+DEi+7Jgk+uUx4F66P2N+Rse7OsNd/7rfjvpl7QSfoaFvfMX9dXQ/B/H3IHMV40uGybX2z62G5ZZ2d4wV/Czvl9uFdDVb8MKQW9Xy/McmCTaLeLTgY7pfg/g428vvfh+XCHE+UM7Pl7VuZfqsPV7r+UHV8PkGc4NO8iHg32fg3sfQw1XdPDZlnBH9NM5tCJ0cuPHD7pUBYt9B997h9U3R2GT5wZ2dkzntN4ifqX++c9k6UOP8KYbzK4q78Ek769j0jOnjLs4Xkk87kEEfewcdTY/kYeDfB+Deu9BnYUYbdH4kivs1cP+TAvs/hc7iGznz23qK84PFstz7/u/Gi1+d47XdX9f79paj357aMuwfxf0cOCekqFvhu2Py1wjaRyrWyPJ9Vf6KoXpnOe3eabdB++ejPy1bNizeK/pn+b553Iv4aZOnb+e0/5CfL3zyPnSG9Y9YXtv9GZN1GjvEvT0t9hu74dP+2d7zVrjfmxBx/wY9Zwy9MvPYjGkjvMT9Gn/Avb+hRZuD83c8OSn4mXrlG9D4x36uY1zOiP6Z9h30dTl1HnWKaJXCaX+hDu4dDN2QIf0+09+LUf88ET6dD7Sp9sjU3HtK9NO68GlH/XtPxMXGO5M53b9hJbt/Y+3F6bZJzvGsB/gY+2QF9smKKS/HrbxeuIbT/iNItv/YENxuYauWCm4G/nUENytBW/4p35pansrMZXl7qKKhdURqk418wsKa/Cb2Hcug4Sdt/9FvlskXgH8V1DtDDU44tZcuRjIj5LR7ph30iU3K5s/7nuB0fx12LRLuAZQSTVMO3fiexA+CfxeCew9Q/7xYPXrEhMn0/kcqhI97VKSWVndCg5NieBjy5/Cz6PvUOdTjqno+Nwb/tgP3joXuKYka6mabxXF+VdoKfxd01LgnzY3eZnIt5GbwJ0PvnY1329b7Cqfzgfj7Je7XiDumUb3nsjunPnGWjI9HPxts4d7jFL1/FecK6Xmzr7aPL3qHcS/wL94fS/icSqqTttbGoSSLXh8kW/g4Ryw55xu8NTC6wPYjp955GrRf4fNqi17hjPYX78C9N6Ap53c9L5tYyI8gvwSfOHpUN7Wg0w2KeADyNOJu6GSDuaMfHLwizg/i9VXoiV+dDNoM7C72HcTFtN+ImrPr2uH8ULF//g6fzhE2sKvIXWCzh40E/+aDe/H7RWrTV3qemntX5D/gYycohand9/axyBI57Tfw+af01Wzjm4S0C2wS+Be/18T5wdef3936ErGaj0ROu+ZhUKvrx44cLQnmQ5FPg68Odd6wVcmwZYbon/G5sdgxmx5pGq3VNoatRo7XadFD9/Dz2LRynZfgZ/Kxx5Nsuz0LM9tzlp8E/86W8fNQo7jIDq7Z4vygOXw6R3jhdZPH6hbJLBg57keQwCeS8rOV8S7+tqJ/7irjX73P6b2HWHJmgfySjJ9nX5/c/2mQh7i/rqWsfy5VP7FX1yad3wL/ggvF/vnH+7kup59FMdx/LHrpauQeWe/PNlwbKvhZBXlLqJvxwjt3RuWJ++sSZf2zY8KBp/fCr7B5sv0G3b8xYPp0Xee2yawEzzeV9c+m1UElDTtnC/6V83GrC4Z3B5zV4o1rub/usHqjydM3ruJNZXkjaM+KToP0XXbx2u6na3KqzzBDd+da99GbzWdFBnx1E/dzkE8czfR/NNprHCH2G8TFxMlzvo3OHZF0WPTT5D+Dhg7v2cB1Q+Bf+2jSqW2TJ/80ShH7C+qPSQ2O3NXf1Pww85ftOyg/WVnySu3aScHfxN2kPb6XTe/YOkbwL+1UiZNfTj5yvPGXEHF+kLiZvi7EKVdpfag1ry1X/dzxjOq/fKUqO/+nAp3wrv7tyib7WH/kdD806Q2dgQf0rur/xc84R6HIeu/T/vjidE73b9AuA69jiqZnzBNXtw9kxNdPZXy9q+zB8CHhIeJ52n3QPtpnUrs7S8dtoddf0RvT+cDlz6YYPg48yeogp3s5iI9fNWtjH+MQxL+Br3GuRYHz4Yp2OcP9dVQUol8m7qX7M55fbJ/3aPnZv+7fwH5QMe9Pa41nbm7cG3kufNo/m+1+3f/zkouiPyZupnOAy8pPdl9dFMVq23f8Ptx89LJOkfw2clf4HvR1N184f9BMF/xL5wKpf24Tarq4+8locT6Q7qcjjg6pnNp+p4kRR68h7u8gvk7sZnwh08qHW4F/jcC986Gt5p/Jb1WaygqRx8Onezg6VKoM8h97SvTTuH9Xgft3FUc9dxq/mhvKq8C/r8G9X6G60XX67XU9KvrlAlm/zOYp+tzxTRD7aNpFX4c+XFWP/3yQJ/pj9KcK7HQV23Im1G9VJ4BlIe8Bnzh7inbzXYntAnkKcuqvib8vv/c6UR2UwjPBz43QK7eBWpzZvujRqSCmBT5+DS6+Bp0XfOCUivURvhrnC29j/+wHPfCmZcTXNwreGXw8Eb3xQeiXh+dX6JnGsEPYP78DF2vQ/dDz+fiJpjs55V+Qj0ae6Nk75pFLMp8N/j0BLs6G1u/QbOa2I/Hi/g26H5rOCZbVr7zk+tyfn5DxM3Yy0ibrqEr3c8Gc+ue1sv45WGPgbb2T4XQ+VAqDj/Oh0qHm7fzL2h/nt5E3xf0br5CP7Xh5ZJ3Vcfwo+Bfvz8T9GRWa1Xduah/mI5EPg0/7jegWZuXjYy9wCbm5jJ/T9PRy7269xPG5noS/X+L+uk/3P4QXmQUx4iK6l4M4WttR8fHT0MWCv/G5j+Do1ltSxkulcTwG/HsM3ItzEtLx0GahQzsUsLvIg+D7Qm1NWkdsYunMCfkU+HR/9C99vYFr7GPYDvAv3f9MHFz2aOC2oOoMjvvrxa6Z7qdre677+kz7Qn4IeZIs/1kxaXVi2C2O11/pCriXema/4z7phZv3sapa9htfXZxfrTwcLPj6M3z0JFLrf8remJsF0f1NEs6Xi/N/i3e2tRuz/I7onz/K+ulP88xcPnXJ/Kt/pv2HT4f6n4Z6JtH5eUkJ3Iv7WaVjamXjKvdGc/x+lHrL+umO+W6H1z6OF/vnOfDHQSeOuewxqGe2OD9I929Q/6z5pkXY9NxTbBVy2mfQ/RtLWim//aNhwRYip90GfR7yzm6s5TmPRB4jOx9IHF36IvRhs5mZon+m+59p57Exu1P1G5tYcX6wJ/wh0OVqbgs+B63i58G/SjL+Hax2pzwyJpktR54JbqZ7oLukfGbfO50V/FxX1l93NFg1LlI5m1P//B5cTPfXnR1aZ/bPJhHsNvIfsvzqqML89WUB7Any1jJ+7uQ/o0DNNovdAf8mye7fMHe1NrJJ/99+g7iZOLpNQefSfomcleL5H3iuAjr61oxVI+zzWBPwL/hagXOGCu7RqVpZxVP0z/L986bhOi97eVrxJjJ+ph21QYaOosFZP14E/v0J7sU/B8U6/dltW2idY/LzgcTJV967tDT/4MqLZfxNPXbht/ipTZW46J/l92+suFXu8Uc9kx1GXi7j674XT38x6xYo7n8mrqYdh+7FTt65TfIE/2rK+DfDcJL6sths0T/TuUDi6MJ3r7btVTvJg2V8TTsPSWVzVEXC5b/uf9aA3omcHTz9VJbYZ+B9q+Dr44531Uu6+Qt+ppy+T2CzthNcf+bzfuDfXjI+/vxngfJQt0xxP7R8/2zStbTqbeVmwd/y/XO0umWTLWVFol+me+uoX145WvFlTb0Ese/AvfVixzHz8wRlJYWfeP6H7Pks1bA/RfrZ1G8ILr4HdS4vanZBKVucL6Re+jE0+EPF3W5bQwR/ky/4+0uzhwONLgl+Jm6mfUbkgS7BfvuzWW18XaHtktDk/SmxfyZ+xu8hxZvv/pMTp17idL/GMnCvFVR5v1XnExnxtG9UzIVP5wjXrHB+db06mtP5Q7p3g3RChZu52/dLdD+tYqasfz5rV0dnSG463T8rdhvUL2/5Z8ujJgkB4nkjWX7CzGPb807FnPYXoleGzk6etdd5UL643w73f4kdx6o2sWZzltlwf+Qn4btAHzbM7rhSrYifAP8mgHujofavG2/etSSDXUWOe8vEPdFdL0z4aGMZydcip3OHLtD660snrnpazAvBv9OIi6FhSwtW3+uV91f/TPtnj5gBnadonRL7aeqlibOXNv/5xeRMNs8GP7cEN7eHumu+Xu2WmSn2zx1k++c+e+Y3WLHQmech7wG/C/TnNEXQm2PZvBv4eRa4+Qj0fbbxp28Veew4+HgUuNgAutT76rAPW6x5OPLN8FdDw5sNuRS49BKfD/7dBy7OgLYZNW9pvV3ZbDNy2kXT/RrBPRt6W5ruEfuNVuDmutCEASFnYtOz+TvwbyK49wF0SKjBtRbKGQzvn6S38PH+SVraJ27T6z3RPAg5/fdXUqFK3KX+GP0S7gb+pXszNkEVfp7zva9EsZXI6b+LshjaIL/vppVHz/IpyG3h60JDPwerLq1XIvjZBtyL8wGS006tbx5e6Qyv19JK+HS/81bryMVT5h8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HnZQMkb6KVGz0xjsGhEN/S6dLfx06ivkumn6xFO5iBiShvzNsxvapHQFI/4/zR75pWw7YA/ODw9BZUu1/mK8d5p1PBqvil/0Niia27Kg717WE6wONYxq2eRvTGfmbZN49Xb0UbY3GrwRjH3cMFRKrob8Vb1gSVSRx/ahsn3BjdjQA+bt9Mrnpm0Qi0l0kysayI2iwfqwhqRtyle3jTUD69jjDDOY/JSg/nPdIyBEbxvHUiCj7PaINiN+9ovep6wOckd7Udyr9vLwT3B9qaNwdLfuVLuLf9z3XiVrO4WQiAfo7K7ok05uE61tqgqf18d/RBD/097h1x+3Cl/j5ffa1H1JUUwPM0N9ANooCzzbMdz6f7IOILWf//b9P9wOiRueaSdJtzM+hO3tvm2llMuo7Urmtq1HgH1z/5CqL1nIvUQkW6K9drt5VszFcXwYSYRPuPanEPeivT/3ZXqsAXP/rc6sGHWKhovpMoD6YWYaGf//QnDy+jp8BwBL6W66jAEpHyEjvdDYOXZfRCPqgv0kpjWGVCvj+5FOepHTd3Yr8tUl50au4UR7pEQpm46vOZwGGv8ZB/UH7yg2QfxnfTJwuCUUAYehvN3nbDP0gzo92O4ulMmrdCEZ9NvHVx3igBdenJTueDf5sCPj3/5pJ5YSuwlvhXWE+SCf6j8UH/4lF54spoy8P6tXtkW73/Ff4MZ1gYgGeL6ycsri+GuL8P7xRhpy9I5xg1A92KlIiAVvw81s6ayxt9SLQ/pabTn9WtTEVjf/I1D/qr1QJcID+Ks4P2wxHFCFd4ulCtOvjFtAP/dVZo0UdT8f5OyZfX6Er4BzBC/1V8ey5vIcSj/QSmtzISulnBGN/6173yX1oPc4/m+ZPCNSW1SJ+Fdtz3p5jx/6Jf1PeWN31lBiB+Vf28Q3+pm/pSJfeRrrZTa9fvravIBy9AjlCf+DnHzhp9aBTrpbogPmhuklMUMs5D+kdXL307e+b0Pnibujf3cZiJWh8FUkrb0pbM5EJ/eUOTA0scClD8Y67/gvqN2ggGP4eOmDMI9WZheLlK2+oa8q9IBjnN71vwLZZBT/fkWe/I8zSKMSM3JRUnvEzWjXrk6YJPx80vuh307qgeG/QA/13OCgj4r0f18+8FhcDxD0sCcPUMfuLCdU0Jl3QTzI8icaXkSzfknkkAO2PE6y7JXWmJFH8z6kveZfFAoihf+OX0w5ka+uT9fH67V//H1ODShhIhb9f5v32UhZZfL64z99ak23sC1L+6fm0g8cNTsy90MTrV6lbakwrC+2vTZZJYNOFIHR/o7d+3xJNjATH/ulRNH7D0Z9tV3D+VKnPPUt+4UAchusrlysn0ucprr8anP8qOIwkgsl/v28USepsDK1lO16f7993JoS5w/24JBRMfY74c6QT15+KYtKa7jvtgMfy/ZPOFUu0/72M6+cfKQ/Ll9b7gH1wfXLtXudg4ojn91rT8WHLmyBifNk/kib//S0NoBzFaz58XsGbrwHrvxLSIy5nlUB1vH8QfcxeC1Z+QHv59yNdO1xFURsuRfEtsus+fftkDx5A/oKdcp2t7QNR/PnXFWdkx8jg1zI/JNaRmx8FD+P4EfdLA90SaQTcv0kNS+/4Wa/j9SOg6308XdgXrHm8zOdc/LxBy2A5Gn/Lp90RV/v9wDTkUzrc5mwtP67/s3+X8haIGYNuyOe2Ml2ruyuw/8Fb85Kbv+kR+pDPpAcq7WM9Wkjn3ymTW+7sBxh8SuU5q3Ra4v1nVkg1eTAvgBiAfAK2kG+it88jPSTANHOu04yxv9Ci+JSdmFbg/XUo26/Dn8sNUCCfIkfPlL83MkbPPxheMfPKLxTA9U9bv+sCu0Iwvn+xS0MHtUfdgCLkc0ym49SS2yWkM32Wa4qblYTrn0KjxPx8acKPxy9pf/h5R2wCoEM+y83TDlCzglB8EuumGPNH2cvX9HgimWptw/MJr2+1lcZXA0KiQBbkU81p0O2ZSDwa/9O8Mo+8ZxgYg/mNwjbOWWvii+Knj/WqyDtmM/wj+RxOGZwTzEbxb2Vf9ySU+IK1kE9Bj4y0r9IUpOeXWvddep5KnIN8gk+/RKgjyUjf8p/mMbPXKQSFsf8EiA2pSbsj3WD4kISsYA6DH5K8gu9Fsz5HpJsmlrWa2jwEayCfb/IC50+/t0V6c8bks4sC0WA95NN4ME3bfRLrqxTXDD8nFYApyKd5/82XP5oM0PMnXPswemuVA8Hg04GPPa2KsgvFd615lCu0cIW4CPk0P3jn9HM53N+iCwr+YpJ3B4zzscrlovR5Vry/fDHl4BA7okn0Qj5N/W9c5xs/hcbf/cSsfinHhXE+oq3n6PzzktUZ6SdNwoSP2ERBPZ/WMfwllzMc128hzsNjqrzZ0J8SGtfbF5qehRZofhveaibaJ3tiN+Sz7Pcqh6IaQ6QbnLkf53gvGshAPvXS/554OMGN/S3z4lz4FAnmIZ+zzVmsjm63UHya8itzR+P05eumFCKyr6Ztzbgt0llqKsMtFlJAMeQz5qPGlWmh22h810almp8fYhj9K5KI5UvP5HT8/NK9q1XK4oKIfsjnkOcsO6eFOdLfrOz6teJxJlgP+TQ038qtQ8f5R/N7745HazwQn/S+TU1WHLj/E3ewtLB/KQjv31vVXK9b/L/6eqCodKItD/Hp/2bEU5mM109YcNiQeF4FXB81pPaqRxYPNuP80vK58fvK43GADfJZKJSxXfNMGNLffj9j6V1WCOiQz94bauopetfR/InE2NecXfbo/KUzHF/Go4L9Me3TLJM7aoH4lNA5Jef3TQvp+hfmebSABzqf+SQeT0m9guvHkhtHv6wes0f5U25ducWcCK4f6U8CA92mA1D9S2i6iLFtvoF0sbqjFtYHrUAO5HMFQXX4uAnXB1Olnb8XXyWj/Mk31Vmk7YTPZyM5BnFW+6JgfRtFU3WykhL8boJ03VjZ4bGMLEb/jKai2XyYZ1oH6e6n5feG340DO5bjSakrkybT2/H5u6XTdfv4gajl//e/T0z5Z4yUceL+h5RCE1kMxIMQyGffZos1wg44nrtsuFzmVQLqj1qm3YwPY4tGupVG83t6QwHKnw9HA339PXH/v08pUUArnAzvv4TUHUDVPN9+F+lZ4XHrG+kZhAbkM2no54KqNe5vrLt97ajvfAysnx6RJFya3xX8iELxE6SC1y9cSxj5jfRof1/cZ1nsP1P1yLaCF1UofxbfEnF1SMX5S0k3MhnwJwMWyCdv/e8LhoVeSC9ar3b37Pg9xKf8SVoBjVkR6avqZHVq3AIJRn927gRnhSGB+Rq4Vi0iuFkHGEE+FQxcbxkMG6H47UUFeflFfoz6g2ZzjcVa1eoa0o3b3tzx3XqW6IF8FojNSBupYj5/OUc7+nGlE2TIp7x+LBuPHo53u7Q9VUgxFJRBPqsV/R38h64iPTGkx95RKZPghnw2ppHmC8twfFuA/vrON06EAOSzxGybWsFBCfR8Yfd07coTMwhY/9F0BQ8R5QI6SE/ZLqMkQo8CnJDPwJGYBX47XN+Grvds3cRyZ/maJYbQ/5qjmDofiPSkkR0bjO5pA3/IZ4vF/nxdJfx+YljjTsuue/dgf+h/+7tU3e33f62QzvT3Y+kVh2xG/U5KLC6KnOoJQ/qspPMmcUlj1B/N33XugXiWG3p++bfB9V+OuRPqkE/jM2OCMhn4fNYpGTjDLh9HwP46yfv+gwv0Fzi/chv3K6nM3UN8KhpZuAzH4fP9ClO9wdbFCsSnwgMln/61uL4Rbi8ma/KSASvk84KIN0nAHve/bEqMrJnTC8F3yCdF8ufpBRF8fm4WTN1rW+4F2iGf9EEFkclgFaQLt0uXE08cACN/6mjmSxf4GCE9Usi/8aMqGfVnlUUFJD+q4P4K+4iFoyNvNNEH+Uy5I25F58L7b/nm5+ZCBxPAXchnE7FiolgW7/9WSy3FhrOGcP/Jp+X/jHHlm8H9s0/9ZOHNjXkA9v9oimMb7fNuqKLxK5MjOSaN7xCskE8hRWZpTyb8/kBiQbbn6NoooAb53PjJgTk43RLpiju8a03Y7OH+EEWamcxi79yE668t9NLwiLrM5fm6Cwh61vl233f4+b6vWh9mcdgFREE+g0c+cGp9lkX6SoHRCx9mEkAbo39cntca8Qn3r8VcG1XuDWQz6iPSxFRzb/ZnD6Q/6f4awS1XCJggn0XPJsPbT5/GfJNn3okeohBakE+FS/vpnuOY39vXNttGekbD/ekRyaBq25GmNTi/Th3UqDSXzUJ8Zk9FBckIYV1sj4zGFGcVrE9qSJypde/EjmF+5d22uZFNUgE75HPo8YLvVXMVpI8Wxoo+DCxG+fNuxHByeKM20nvcCw6Q+28SjP7fwi8zJ3Xm8+j5REul+tuKrMB5yOfdSN9F937cH6ixvV/mG+eB6k+bpiPstlN4f+N17YpeYx7IqJ9o127+dKYfMkH65bi83HbvAMb6pe0KNb/CH3gV6c++fi/quupLwPMFjV5Srctx9QLSfy/66Rodd4fvb0poEnulTAyY1PD6/fj5hNa7SIIJ8vkqzV/5hzfeH6gCzvmbg1wJRn9X32Ok30QL94dVFxOzKuMTYX8yimS1X6Jne7gF0h9ulE0O3Qv/nx5LmCsr9NjL4PO5VJOSuMQPBxAM+dxMX+S9P4n7m76m7RWhjb7ELOTT4lBOS2aMN9Kf9vD6sl/AfA55BaaCj7g/4LHW6qCQph1jfZJmqtIf9e/H9U2J5a+t54O9iNOQT5UPz6h/Tl1B98fnY7RUPu4PkiCfbXKa1YvdeP+pfg1yT2ji/Okz+WnjZhlpFO/ObaAQYFwJ/akh/RVmumTkhZ/v8uToBpvGXMAB+TymLuO8Qh6fL28dU6TOuRag/Fni+jpPdBD3342djax8toWg969VH8f/Ro5ivphOcC/4FR4AlxjndxPJxx5+dkjn3vnXNMQzBfF5ZcKVU+Qtfv5nV5yW1i7GEW8hn3Phb34Q2Th+z83s/LgtGSA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eF4txRFghAAAAMC2SRiGYRg+huFjGIZhGIZh+BiGYRiGYfgYhoPu5MLgETl24tSZX85d+O3SlWs3bt259+DRH0+evXj15t2HT399+Xbw8xQ6cuzEqTO/nLvw26Ur127cunPvwaM/njx78erNuw+f/vry7eD3KXTk2IlTZ345d+G3S1eu3bh1596DR388efbi1Zt3Hz799eXbwd9T6MixE/8DLbMvQA==AQAAAAAAAAAAgAAAAAAAAGQAAAAAAAAADAAAAAAAAAA=eF4TF6c9AADGKQj9
+ </AppendedData>
+</VTKFile>
diff --git a/Tests/Data/TH2M/M/M_2d_neumann/M_2d_neumann_newton.xml b/Tests/Data/TH2M/M/M_2d_neumann/M_2d_neumann_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..767ccaf3fc84e39e9e7ad6a024db02020bf4647f
--- /dev/null
+++ b/Tests/Data/TH2M/M/M_2d_neumann/M_2d_neumann_newton.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="M_2d_neumann.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">M_2d_neumann_newton</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/T/T_1d_dirichlet/T_1d_dirichlet_newton.xml b/Tests/Data/TH2M/T/T_1d_dirichlet/T_1d_dirichlet_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..6e7e10c6ff7b6fe0f319314ccee5c86e55ae643c
--- /dev/null
+++ b/Tests/Data/TH2M/T/T_1d_dirichlet/T_1d_dirichlet_newton.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="T_1d_dirichlet.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">T_1d_dirichlet_newton</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/THM/slab/THM_1d_dirichlet_newton.xml b/Tests/Data/TH2M/THM/slab/THM_1d_dirichlet_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..216d8274d3d340a30c008e4a833a0ab15a98085b
--- /dev/null
+++ b/Tests/Data/TH2M/THM/slab/THM_1d_dirichlet_newton.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="THM_1d_dirichlet.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">THM_1d_dirichlet_newton</replace>
+</OpenGeoSysProjectDiff>
diff --git a/Tests/Data/TH2M/THM/sphere/point_heatsource_newton.xml b/Tests/Data/TH2M/THM/sphere/point_heatsource_newton.xml
new file mode 100644
index 0000000000000000000000000000000000000000..406fb2b7c2bcb66fb00afc51284aca59d4921325
--- /dev/null
+++ b/Tests/Data/TH2M/THM/sphere/point_heatsource_newton.xml
@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="ISO-8859-1"?>
+<OpenGeoSysProjectDiff base_file="point_heatsource.prj">
+ <remove msel="/*/*/process/jacobian_assembler"/>
+ <replace sel="/*/time_loop/output/prefix/text()">point_heatsource_newton</replace>
+</OpenGeoSysProjectDiff>
diff --git a/scripts/cmake/test/AddTest.cmake b/scripts/cmake/test/AddTest.cmake
index 301768913d65a95b416b74ca6d9ab8e60216e190..94182f41fec76001342309bf2dcba8bd4c83d75f 100644
--- a/scripts/cmake/test/AddTest.cmake
+++ b/scripts/cmake/test/AddTest.cmake
@@ -218,6 +218,9 @@ function(AddTest)
return()
endif()
+ set(FILES_TO_DELETE "")
+ list(APPEND FILES_TO_DELETE "${AddTest_STDOUT_FILE_PATH}")
+
if(AddTest_DIFF_DATA)
string(LENGTH "${AddTest_DIFF_DATA}" DIFF_DATA_LENGTH)
if(${DIFF_DATA_LENGTH} GREATER 7500)
@@ -250,6 +253,8 @@ function(AddTest)
${TESTER_ARGS} ${AddTest_TESTER_ARGS} ${AddTest_SOURCE_PATH}/${FILE_EXPECTED} \
${AddTest_BINARY_PATH}/${FILE}"
)
+ list(APPEND FILES_TO_DELETE "${FILE}")
+
endforeach()
elseif(AddTest_TESTER STREQUAL "vtkdiff" OR AddTest_TESTER STREQUAL
"xdmfdiff"
@@ -289,6 +294,7 @@ Use six arguments version of AddTest with absolute and relative tolerances"
-a ${NAME_A} -b ${NAME_B} \
${TESTER_ARGS} ${AddTest_TESTER_ARGS}"
)
+ list(APPEND FILES_TO_DELETE "${VTK_FILE}")
endforeach()
elseif(${DiffDataLengthMod6} EQUAL 0)
if(${AddTest_ABSTOL} OR ${AddTest_RELTOL})
@@ -330,6 +336,7 @@ Use six arguments version of AddTest with absolute and relative tolerances"
${TESTER_ARGS} ${AddTest_TESTER_ARGS}"
)
endif()
+ list(APPEND FILES_TO_DELETE "${VTK_FILE}")
endforeach()
else()
message(
@@ -362,6 +369,7 @@ Use six arguments version of AddTest with absolute and relative tolerances"
${AddTest_SOURCE_PATH}/${FILE_EXPECTED} \
${AddTest_BINARY_PATH}/${GML_FILE}"
)
+ list(APPEND FILES_TO_DELETE "${GML_FILE}")
endforeach()
elseif(AddTest_TESTER STREQUAL "memcheck")
set(TESTER_COMMAND
@@ -376,14 +384,6 @@ Use six arguments version of AddTest with absolute and relative tolerances"
set(AddTest_EXECUTABLE_PARSED ${AddTest_EXECUTABLE})
endif()
- set(FILES_TO_DELETE "")
- list(APPEND FILES_TO_DELETE "${AddTest_STDOUT_FILE_PATH}")
- foreach(ITEM ${AddTest_DIFF_DATA})
- if(ITEM MATCHES "^.*\.(vtu|vtk)$")
- list(APPEND FILES_TO_DELETE "${ITEM}")
- endif()
- endforeach()
-
# Run the wrapper
if(DEFINED AddTest_WRAPPER)
set(AddTest_WRAPPER_STRING "-${AddTest_WRAPPER}")