diff --git a/ProcessLib/SmallDeformation/Tests.cmake b/ProcessLib/SmallDeformation/Tests.cmake index 54b03123cbf..1cb731ee735 100644 --- a/ProcessLib/SmallDeformation/Tests.cmake +++ b/ProcessLib/SmallDeformation/Tests.cmake @@ -279,3 +279,10 @@ if(NOT OGS_USE_PETSC) NotebookTest(NOTEBOOKFILE Mechanics/PLLC/PLLC.ipynb RUNTIME 7) endif() endif() + +NotebookTest( + NOTEBOOKFILE Mechanics/Linear/test_ip_data/2D-clamped-gravity.py + RUNTIME 10 + SKIP_WEB +) +OgsTest(PROJECTFILE Mechanics/Linear/test_ip_data/square_1e2_test_ip_data.prj) diff --git a/Tests/Data/Mechanics/Linear/test_ip_data/2D-clamped-gravity.py b/Tests/Data/Mechanics/Linear/test_ip_data/2D-clamped-gravity.py new file mode 100644 index 00000000000..941d6e1a6b8 --- /dev/null +++ b/Tests/Data/Mechanics/Linear/test_ip_data/2D-clamped-gravity.py @@ -0,0 +1,364 @@ +# --- +# jupyter: +# jupytext: +# text_representation: +# extension: .py +# format_name: percent +# format_version: '1.3' +# jupytext_version: 1.14.5 +# kernelspec: +# display_name: ogs-local-release-build +# language: python +# name: ogs-local-release-build +# --- + +# %% [markdown] +# # Deformation of a linear elastic Material due to its own gravity + +# %% +import pyvista as pv +import numpy as np + +pv.set_jupyter_backend("static") + +import matplotlib.pyplot as plt +import subprocess +import os +import sys + +# %% +outdir = os.environ.get("OGS_TESTRUNNER_OUT_DIR", "_out") +if not os.path.exists(outdir): + os.makedirs(outdir) + with open(os.path.join(outdir, ".gitignore"), "w") as fh: + fh.write("*\n") + +# %% [markdown] +# # Problem Description + +# %% [markdown] +# We consider a linear elastic isotropic material in 2D subject to plane strain conditions. +# The material specimen is clamped in $x$ direction and subject only to its own gravity. +# The domain is the rectangle $[0, X] \times [0, Y]$. +# +# $$ +# \def\myvec#1{\underline{#1}} +# \def\mymat#1{\underline{\underline{#1}}} +# % +# \begin{align*} +# u_x\bigr|_{x=0} &= 0 \\ +# u_x\bigr|_{x=X} &= 0 \\ +# u_y\bigr|_{y=0} &= 0 \\ +# \sigma_{yy}\bigr|_{y=Y} &= 0 +# \end{align*} +# $$ +# +# The governing equation is +# +# $$ +# \mathop{\mathrm{div}} \mymat{\sigma} = -\myvec{f} = (0, -\rho g)^T +# $$ + +# %% [markdown] +# # Parameters + +# %% +rho = 1 # kg/m³, density +g = -9.81 # m/s², gravitational acceleration +nu = 0.3 # Poisson ratio +E = 1e6 # Pa, Young's modulus +X = 1 # m, width of the domain +Y = 1 # m, height of the domain + + +# %% [markdown] +# # Analytical Solution + +# %% [markdown] +# In the plane strain setting $\epsilon_{xz} = \epsilon_{yz} = \epsilon_{zz} = 0$. +# In that setting Hooke's law is +# +# $$ +# \myvec{\epsilon} +# = \begin{pmatrix} \epsilon_{xx} \\ \epsilon_{yy} \\ \epsilon_{xy} \end{pmatrix} +# = \frac{1}{2G} \begin{pmatrix} +# 1-\nu & -\nu & 0 \\ +# -\nu & 1-\nu & 0 \\ +# 0 & 0 & 1 +# \end{pmatrix} +# \begin{pmatrix} \sigma_{xx} \\ \sigma_{yy} \\ \sigma_{xy} \end{pmatrix} +# $$ +# +# The clamping in $x$ direction yields $\epsilon_{xx} = 0$. +# Furthermore, there are no shear stresses/strains: $\epsilon_{xy} = 0$, $\sigma_{xy} = 0$. +# Therefore, the governing equation for $\sigma_{yy}$ reduces to +# $$ +# \partial_y \sigma_{yy} = -\rho g +# $$ +# Integrating that and using the stress boundary condition yields +# $$ +# \sigma_{yy} = \rho g \, (Y - y) +# $$ +# The other normal stresses follow as +# $$ +# \sigma_{xx} = \sigma_{zz} = \frac{\nu}{1-\nu}\sigma_{yy} +# $$ +# For the normal strain in $y$ direction we get +# $$ +# \epsilon_{yy} = \frac{1+\nu}{E} \frac{1-2\nu}{1-\nu} \sigma_{yy} +# $$ +# And finally for the $y$ displacement +# $$ +# u_y = \frac{1+\nu}{E} \frac{1-2\nu}{1-\nu} \rho g \bigl(Yy - \tfrac12 y^2\bigr) +# $$ + + +# %% +def sigma_yy_ana(y): + return rho * g * (Y - y) + + +def sigma_xx_ana(y): + return nu / (1 - nu) * sigma_yy_ana(y) + + +def sigma_zz_ana(y): + return nu / (1 - nu) * sigma_yy_ana(y) + + +factor_eps_yy_nu_E = (1 + nu) / E * (1 - 2 * nu) / (1 - nu) + + +def eps_yy_ana(y): + return factor_eps_yy_nu_E * sigma_yy_ana(y) + + +def u_y_ana(y): + return factor_eps_yy_nu_E * rho * g * (Y * y - 0.5 * y**2) + + +# %% [markdown] +# # Run OGS + +# %% +with open(os.path.join(outdir, "ogs-out.txt"), "w") as fh: + subprocess.run( + ["ogs", "-o", outdir, "square_1e2_test_ip_data.prj"], + check=True, + stdout=fh, + stderr=subprocess.STDOUT, + ) + +# %% +# convert last result to point cloud +with open(os.path.join(outdir, "point-cloud-out.txt"), "w") as fh: + subprocess.run( + [ + "ipDataToPointCloud", + "-i", + os.path.join(outdir, "square_1e2_ts_4_t_1.000000.vtu"), + "-o", + os.path.join(outdir, "square_1e2_ts_4_point_cloud.vtu"), + ], + check=True, + stdout=fh, + stderr=subprocess.STDOUT, + ) + + +# %% [markdown] +# # Read simulation results + + +# %% +def add_vertex_cells(mesh): + num_points_per_cell = np.ones(mesh.n_points, dtype=int) + point_ids_per_cell = np.arange(0, mesh.n_points, dtype=int) + cells = np.vstack((num_points_per_cell, point_ids_per_cell)).T.ravel() + celltypes = [pv.CellType.VERTEX] * mesh.n_points + mesh_copy = pv.UnstructuredGrid(cells, celltypes, mesh.points) + + for n in mesh.point_data: + mesh_copy.cell_data[n] = mesh.point_data[n] + + return mesh_copy + + +# %% +mesh = pv.read(os.path.join(outdir, "square_1e2_ts_4_t_1.000000.vtu")) +mesh_pc = pv.read(os.path.join(outdir, "square_1e2_ts_4_point_cloud.vtu")) +mesh_pc = add_vertex_cells(mesh_pc) # add vertex cells to make pyvista vis work + +# %% +# make displacement 3D +u = mesh.point_data["displacement"] +mesh.point_data["displacement"] = np.hstack((u, np.zeros((u.shape[0], 1)))) + +# %% +plotter = pv.Plotter() + +plotter.add_mesh( + mesh_pc, + scalars=mesh_pc.cell_data["sigma_ip"][:, 1], + label="sigma_xx at integration points", + point_size=5, + render_points_as_spheres=True, + scalar_bar_args={"title": "sigma_xx"}, + lighting=False, +) + +mesh_linear = mesh.linear_copy() # avoids tesselation artefacts in PyVista's rendering +plotter.add_mesh( + mesh_linear, + style="wireframe", + color="#bbbbbb", + line_width=1, + lighting=False, + label="mesh", +) +plotter.add_mesh( + mesh_linear.warp_by_vector(vectors="displacement", factor=2000), + style="wireframe", + color="k", + line_width=2, + lighting=False, + label="warped mesh (factor 2000)", +) + +plotter.add_axes() +# plotter.add_legend() +plotter.view_xy() +plotter.add_title( + "sigma_xx at integration points,\nmesh (grey), deformed mesh (black, factor 2000)", + font_size=10, +) +plotter.show() + +# %% [markdown] +# # Comparison to analytical solution +# + +# %% [markdown] +# ## Nodal displacement + +# %% +sampled = mesh.sample_over_line((X / 2, 0, 0), (X / 2, Y, 0)) + +# %% +ys = sampled.points[:, 1] +u_ys_num = sampled.point_data["displacement"][:, 1] +u_ys_ana = u_y_ana(ys) + +fig, (ax, ax2) = plt.subplots(1, 2, sharey=True) + +ax.plot(u_ys_num, ys, label="num") +ax.plot(u_ys_ana, ys, label="ana") + +ax2.plot(u_ys_num - u_ys_ana, ys) +assert np.allclose(u_ys_num, u_ys_ana, atol=2.1e-13, rtol=0) + +ax.set_ylabel("$y$ / m") +ax2.set_xlabel(r"$\Delta u_y$ / m") + +ax.legend() + +ax +fig.set_size_inches(12, 4) + +# %% +# assert correctness of entire displacment field +ys = mesh.points[:, 1] + +# u_y must match the analytical solutions +assert np.allclose( + mesh.point_data["displacement"][:, 1], u_y_ana(ys), atol=1e-15, rtol=0 +) + +# u_x must be zero +assert np.allclose(mesh.point_data["displacement"][:, 0], 0, atol=1e-15, rtol=0) + +# %% [markdown] +# # Stress at Integration Points + +# %% +ys = mesh_pc.points[:, 1] +sigma_yys_num = mesh_pc.cell_data["sigma_ip"][:, 1] +sigma_yys_ana = sigma_yy_ana(ys) + +sigma_xxs_num = mesh_pc.cell_data["sigma_ip"][:, 0] +sigma_xxs_ana = sigma_xx_ana(ys) + +sigma_zzs_num = mesh_pc.cell_data["sigma_ip"][:, 2] +sigma_zzs_ana = sigma_zz_ana(ys) + +fig, (ax, ax2) = plt.subplots(1, 2, sharey=True) + +(h,) = ax.plot(sigma_yys_num, ys, label="$yy$, num", ls="", marker=".") +ax.plot(sigma_yys_ana, ys, label="$yy$, ana", color=h.get_color()) +ax2.plot(sigma_yys_num - sigma_yys_ana, ys, ls="", marker=".") + +(h,) = ax.plot(sigma_xxs_num, ys, label="$xx$, num", ls="", marker="+") +ax.plot(sigma_xxs_ana, ys, label="$xx$, ana", color=h.get_color()) +ax2.plot(sigma_xxs_num - sigma_xxs_ana, ys, ls="", marker="+") + +(h,) = ax.plot(sigma_zzs_num, ys, label="$zz$, num", ls="", marker="x") +ax.plot(sigma_zzs_ana, ys, label="$zz$, ana", ls="--", color=h.get_color()) +ax2.plot(sigma_zzs_num - sigma_zzs_ana, ys, ls="", marker="x") + +ax.set_xlabel(r"$\sigma$ / Pa") +ax2.set_xlabel(r"$\Delta\sigma$ / Pa") +ax.set_ylabel("$y$ / m") + +ax.legend() + +ax +fig.set_size_inches(12, 4) + +# %% [markdown] +# # Checks (Assertions) + +# %% +from IPython.display import display, HTML + + +def allclose(x, y, abstol): + d = np.max(np.abs(x - y)) + + if d <= abstol: + return True + + xmin = np.min(x) + xmax = np.max(x) + ymin = np.min(y) + ymax = np.max(y) + + display( + HTML( + f""" +
+

Error in allclose()

+ difference of {d} exceeds abstol of {abstol}
+ field 1 ranges from {xmin} to {xmax} (delta = {xmax - xmin})
+ field 2 ranges from {ymin} to {ymax} (delta = {ymax - ymin})
+
+ """ + ) + ) + + return False + + +# %% +# assert correctness of entire displacment field +ys = mesh_pc.points[:, 1] + +# normal stress must match the analytical solutions +# the tolerances are rather high due to the jumps in sigma over element edges +assert allclose(mesh_pc.cell_data["sigma_ip"][:, 1], sigma_yy_ana(ys), 6e-14) +assert allclose(mesh_pc.cell_data["sigma_ip"][:, 0], sigma_xx_ana(ys), 3e-14) +assert allclose(mesh_pc.cell_data["sigma_ip"][:, 0], sigma_zz_ana(ys), 3e-14) + +# shear stress must be zero +assert allclose(mesh_pc.cell_data["sigma_ip"][:, 3], 0, 2.3e-14) + +# %% diff --git a/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_test_ip_data.prj b/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_test_ip_data.prj new file mode 100644 index 00000000000..8e249937fbf --- /dev/null +++ b/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_test_ip_data.prj @@ -0,0 +1,180 @@ + + + square_1x1_quad_1e2_quadratic.vtu + square_1x1.gml + + + SD + SMALL_DEFORMATION + 3 + + LinearElasticIsotropic + E + nu + + 0 -9.81 + + displacement + + + + + + + + + + basic_newton + + DeltaX + INFINITY_N + 1e-9 + + + BackwardEuler + + + FixedTimeStepping + 0 + 1 + + + 4 + 0.25 + + + + + + + VTK + square_1e2 + + + 1 + 10000000 + + + + displacement + sigma + sigma_ip + IntegrationPointMetaData + + _ts_{:timestep}_t_{:time} + + + + + + + Solid + + + density + Constant + 1 + + + + + + + + + E + Constant + 1e6 + + + nu + Constant + .3 + + + displacement0 + Constant + 0 0 + + + dirichlet0 + Constant + 0 + + + + + displacement + 2 + 1 + displacement0 + + + square_1x1_geometry + left + Dirichlet + 0 + dirichlet0 + + + square_1x1_geometry + bottom + Dirichlet + 1 + dirichlet0 + + + square_1x1_geometry + right + Dirichlet + 0 + dirichlet0 + + + + + + + basic_newton + Newton + 4 + general_linear_solver + + + + + general_linear_solver + -i cg -p jacobi -tol 1e-16 -maxiter 10000 + + CG + DIAGONAL + 10000 + 1e-16 + + + sd + -sd_ksp_type cg -sd_pc_type bjacobi -sd_ksp_rtol 1e-16 -sd_ksp_max_it 10000 + + + + + + square_1e2_ts_4_t_1.000000.vtu + displacement + 1e-15 + 0 + + + square_1e2_ts_4_t_1.000000.vtu + sigma + 9.2e-14 + 0 + + + square_1e2_ts_4_t_1.000000.vtu + sigma_ip + 8.4e-14 + 0 + + + diff --git a/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_ts_4_t_1.000000.vtu b/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_ts_4_t_1.000000.vtu new file mode 100644 index 00000000000..d4e427106be --- /dev/null +++ b/Tests/Data/Mechanics/Linear/test_ip_data/square_1e2_ts_4_t_1.000000.vtu @@ -0,0 +1,29 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + 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AQAAAAAAAAAAgAAAAAAAAFAVAAAAAAAAWwwAAAAAAAA=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+ + diff --git a/scripts/cmake/Dependencies.cmake b/scripts/cmake/Dependencies.cmake index a9c2487e8c1..2ddb8aee011 100644 --- a/scripts/cmake/Dependencies.cmake +++ b/scripts/cmake/Dependencies.cmake @@ -282,7 +282,7 @@ else() endif() if(OGS_BUILD_TESTING OR OGS_BUILD_UTILS) - CPMAddPackage(NAME vtkdiff GITHUB_REPOSITORY ufz/vtkdiff GIT_TAG master) + CPMAddPackage(NAME vtkdiff GITHUB_REPOSITORY ufz/vtkdiff GIT_TAG 9754b4da43c6adfb65d201ed920b5f6ea27b38b9) if(vtkdiff_ADDED) install(PROGRAMS $ DESTINATION bin) endif()