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Reorganize plotting cell in jupyter notebook to remove if in for loop
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Signed-off-by: Benjamin Maier <[email protected]>
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@maierbn
maierbn committed Oct 10, 2023
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Showing 1 changed file with 72 additions and 42 deletions.
114 changes: 72 additions & 42 deletions demos/fkm_nonlinear/fkm_nonlinear.ipynb
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"source": [
"# FKM nonlinear assessment for a single point\n",
"This jupyter notebook is the main example how to apply the FKM nonlinear, i.e., the local strain concept using pylife.\n",
"If you have voilà installed (``pip install voila``), you can also open the notebook by clicking on the voila button in the top bar. This hides the code blocks and makes the plots better visible.\n",
"If you have voilà installed (``pip install voila``), you can also open the notebook by clicking on the voila button in the top bar. This will hide the code blocks and make the plots better visible.\n",
"\n",
"The algorithm follows the document `\"RICHTLINIE NICHTLINEAR / Rechnerischer Festigkeitsnachweis unter expliziter Erfassung nichtlinearen Werkstoffverformungsverhaltens / Für Bauteile aus Stahl, Stahlguss und Aluminiumknetlegierungen / 1.Auflage, 2019\"`. If you want to learn more about how the algorithm works, have a look at the notebook [fkm_nonlinear_full](fkm_nonlinear_full.ipynb)."
]
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"outputs": [],
"source": [
"fig, axes = plt.subplots(2, 2, figsize=(12,10))\n",
" \n",
"for i, parameter_name in enumerate([\"RAM\", \"RAJ\"]):\n",
"\n",
" detector = result[f\"P_{parameter_name}_detector\"]\n",
" detector_1st = result[f\"P_{parameter_name}_detector_1st\"]\n",
"\n",
" # plot resulting stress-strain curve\n",
" sampling_parameter = 50 # choose larger for smoother plot\n",
" strain_values_primary, stress_values_primary, hysteresis_index_primary, \\\n",
" strain_values_secondary, stress_values_secondary, hysteresis_index_secondary \\\n",
" = detector.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
" sampling_parameter = 50 # choose larger for smoother plot\n",
" strain_values_primary_1st, stress_values_primary_1st, hysteresis_index_primary_1st, \\\n",
" strain_values_secondary_1st, stress_values_secondary_1st, hysteresis_index_secondary_1st \\\n",
" = detector_1st.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
" # load-time diagram\n",
" if i == 0:\n",
" import matplotlib\n",
" matplotlib.rcParams.update({'font.size': 14})\n",
" axes[0,0].plot(load_sequence, \"o-\", lw=2)\n",
" axes[0,0].grid()\n",
" axes[0,0].set_xlabel(\"t [s]\")\n",
" axes[0,0].set_ylabel(\"L [N]\")\n",
" axes[0,0].set_title(\"Load sequence\")\n",
" else:\n",
" axes[0,1].axis(\"off\")\n",
" axes[0,1].legend(handles, labels, bbox_to_anchor=(0.0,0), loc='lower left')\n",
" \n",
"\n",
" # stress-strain diagram\n",
" axes[1,i].plot(strain_values_primary, stress_values_primary, \"y-\", lw=2, label=\"HCM second run\")\n",
" axes[1,i].plot(strain_values_secondary, stress_values_secondary, \"y-.\", lw=2)\n",
" axes[1,i].plot(strain_values_primary_1st, stress_values_primary_1st, \"g-\", lw=2, label=\"HCM first run\")\n",
" axes[1,i].plot(strain_values_secondary_1st, stress_values_secondary_1st, \"g-.\", lw=2)\n",
" axes[1,i].grid()\n",
" axes[1,i].set_xlabel(\"$\\epsilon$\")\n",
" axes[1,i].set_ylabel(\"$\\sigma$ [MPa]\")\n",
" axes[1,i].set_title(f\"P_{parameter_name} material response\")\n",
" handles, labels = axes[1,i].get_legend_handles_labels()\n",
" \n",
"# set font size \n",
"import matplotlib\n",
"matplotlib.rcParams.update({'font.size': 14})\n",
"\n",
"# prepare first plot\n",
"axes[0,0].plot(load_sequence, \"o-\", lw=2)\n",
"axes[0,0].grid()\n",
"axes[0,0].set_xlabel(\"t [s]\")\n",
"axes[0,0].set_ylabel(\"L [N]\")\n",
"axes[0,0].set_title(\"Load sequence\")\n",
"\n",
"# plot hystereses for P_RAM\n",
"# ---------------------------\n",
"parameter_name = \"RAM\"\n",
"detector = result[f\"P_{parameter_name}_detector\"]\n",
"detector_1st = result[f\"P_{parameter_name}_detector_1st\"]\n",
"\n",
"# plot resulting stress-strain curve\n",
"sampling_parameter = 50 # choose larger for smoother plot\n",
"strain_values_primary, stress_values_primary, hysteresis_index_primary, \\\n",
"strain_values_secondary, stress_values_secondary, hysteresis_index_secondary \\\n",
" = detector.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
"sampling_parameter = 50 # choose larger for smoother plot\n",
"strain_values_primary_1st, stress_values_primary_1st, hysteresis_index_primary_1st, \\\n",
"strain_values_secondary_1st, stress_values_secondary_1st, hysteresis_index_secondary_1st \\\n",
" = detector_1st.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
"# stress-strain diagram\n",
"axes[1,0].plot(strain_values_primary, stress_values_primary, \"y-\", lw=2, label=\"HCM second run\")\n",
"axes[1,0].plot(strain_values_secondary, stress_values_secondary, \"y-.\", lw=2)\n",
"axes[1,0].plot(strain_values_primary_1st, stress_values_primary_1st, \"g-\", lw=2, label=\"HCM first run\")\n",
"axes[1,0].plot(strain_values_secondary_1st, stress_values_secondary_1st, \"g-.\", lw=2)\n",
"axes[1,0].grid()\n",
"axes[1,0].set_xlabel(\"$\\epsilon$\")\n",
"axes[1,0].set_ylabel(\"$\\sigma$ [MPa]\")\n",
"axes[1,0].set_title(f\"P_{parameter_name} material response\")\n",
"\n",
"\n",
"# show only legend in field axes[0,1]\n",
"handles, labels = axes[1,0].get_legend_handles_labels()\n",
"axes[0,1].axis(\"off\")\n",
"axes[0,1].legend(handles, labels, bbox_to_anchor=(0.0,0), loc='lower left')\n",
"\n",
"# plot hystereses for P_RAJ\n",
"# ---------------------------\n",
"parameter_name = \"RAJ\"\n",
"detector = result[f\"P_{parameter_name}_detector\"]\n",
"detector_1st = result[f\"P_{parameter_name}_detector_1st\"]\n",
"\n",
"# plot resulting stress-strain curve\n",
"sampling_parameter = 50 # choose larger for smoother plot\n",
"strain_values_primary, stress_values_primary, hysteresis_index_primary, \\\n",
"strain_values_secondary, stress_values_secondary, hysteresis_index_secondary \\\n",
" = detector.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
"sampling_parameter = 50 # choose larger for smoother plot\n",
"strain_values_primary_1st, stress_values_primary_1st, hysteresis_index_primary_1st, \\\n",
"strain_values_secondary_1st, stress_values_secondary_1st, hysteresis_index_secondary_1st \\\n",
" = detector_1st.interpolated_stress_strain_data(sampling_parameter)\n",
"\n",
"# stress-strain diagram\n",
"axes[1,1].plot(strain_values_primary, stress_values_primary, \"y-\", lw=2, label=\"HCM second run\")\n",
"axes[1,1].plot(strain_values_secondary, stress_values_secondary, \"y-.\", lw=2)\n",
"axes[1,1].plot(strain_values_primary_1st, stress_values_primary_1st, \"g-\", lw=2, label=\"HCM first run\")\n",
"axes[1,1].plot(strain_values_secondary_1st, stress_values_secondary_1st, \"g-.\", lw=2)\n",
"axes[1,1].grid()\n",
"axes[1,1].set_xlabel(\"$\\epsilon$\")\n",
"axes[1,1].set_ylabel(\"$\\sigma$ [MPa]\")\n",
"axes[1,1].set_title(f\"P_{parameter_name} material response\")\n",
"\n",
"plt.tight_layout()"
]
},
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