.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples/00-Different-analysis-types/04-harmonic-complex-results.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_00-Different-analysis-types_04-harmonic-complex-results.py: .. _ref_harmonic_example: Harmonic Simulation =================== In this script harmonic simulation is processed and complex results are used. .. GENERATED FROM PYTHON SOURCE LINES 10-14 Perform required imports ------------------------ Perform required imports. # This example uses a supplied file that you can get by importing the DPF ``examples`` package. .. GENERATED FROM PYTHON SOURCE LINES 14-18 .. code-block:: Python from ansys.dpf import post from ansys.dpf.post import examples .. GENERATED FROM PYTHON SOURCE LINES 19-25 Get ``Simulation`` object ------------------------- Get the ``Simulation`` object that allows access to the result. The ``Simulation`` object must be instantiated with the path for the result file. For example, ``"C:/Users/user/my_result.rst"`` on Windows or ``"/home/user/my_result.rst"`` on Linux. .. GENERATED FROM PYTHON SOURCE LINES 25-38 .. code-block:: Python example_path = examples.download_harmonic_clamped_pipe() # to automatically detect the simulation type, use: simulation = post.load_simulation(example_path) # to enable auto-completion, use the equivalent: simulation = post.HarmonicMechanicalSimulation(example_path) # print the simulation to get an overview of what's available print(simulation) .. rst-class:: sphx-glr-script-out .. code-block:: none Harmonic Mechanical Simulation. Data Sources ------------------------------ /opt/hostedtoolcache/Python/3.10.13/x64/lib/python3.10/site-packages/ansys/dpf/core/examples/result_files/harmonic/clamped_pipe.rst DPF Model ------------------------------ Msup analysis Unit system: NMM: mm, ton, N, s, mV, mA, degC Physics Type: Mechanical Available results: - displacement: Nodal Displacement - reaction_force: Nodal Force - stress: ElementalNodal Stress - elemental_volume: Elemental Volume - stiffness_matrix_energy: Elemental Energy-stiffness matrix - artificial_hourglass_energy: Elemental Hourglass Energy - thermal_dissipation_energy: Elemental thermal dissipation energy - kinetic_energy: Elemental Kinetic Energy - co_energy: Elemental co-energy - incremental_energy: Elemental incremental energy - elastic_strain: ElementalNodal Strain - element_euler_angles: ElementalNodal Element Euler Angles - contact_status: ElementalNodal Contact Status - contact_penetration: ElementalNodal Contact Penetration - contact_pressure: ElementalNodal Contact Pressure - contact_friction_stress: ElementalNodal Contact Friction Stress - contact_total_stress: ElementalNodal Contact Total Stress - contact_sliding_distance: ElementalNodal Contact Sliding Distance - contact_gap_distance: ElementalNodal Contact Gap Distance - total_heat_flux_at_contact_surface: ElementalNodal Total heat flux at contact surface - contact_status_changes: ElementalNodal Contact status changes - fluid_penetration_pressure: ElementalNodal Fluid Penetration Pressure ------------------------------ DPF Meshed Region: 9943 nodes 5732 elements Unit: mm With solid (3D) elements, shell (2D) elements, shell (3D) elements ------------------------------ DPF Time/Freq Support: Number of sets: 5 With complex values Cumulative Frequency (Hz) LoadStep Substep RPM 1 2000.000000 1 1 0.000000 2 4000.000000 1 2 0.000000 3 6000.000000 1 3 0.000000 4 8000.000000 1 4 0.000000 5 10000.000000 1 5 0.000000 .. GENERATED FROM PYTHON SOURCE LINES 39-42 Extract displacement over a list of frequencies sets ---------------------------------------------------- Printing the time freq support can help pick the right frequencies .. GENERATED FROM PYTHON SOURCE LINES 42-60 .. code-block:: Python print(simulation.time_freq_support) displacement = simulation.displacement(set_ids=[1, 2]) print(displacement) subdisp = displacement.select(complex=0, set_ids=1) print(subdisp) subdisp.plot(title="U tot real") subdisp = displacement.select(complex=1, set_ids=1) print(subdisp) subdisp.plot(title="U tot imaginary") subdisp = displacement.select(complex=0, set_ids=2) print(subdisp) subdisp.plot(title="U tot real") .. rst-class:: sphx-glr-horizontal * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_001.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_001.png :class: sphx-glr-multi-img * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_002.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_002.png :class: sphx-glr-multi-img * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_003.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_003.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out .. code-block:: none DPF Time/Freq Support: Number of sets: 5 With complex values Cumulative Frequency (Hz) LoadStep Substep RPM 1 2000.000000 1 1 0.000000 2 4000.000000 1 2 0.000000 3 6000.000000 1 3 0.000000 4 8000.000000 1 4 0.000000 5 10000.000000 1 5 0.000000 results U set_ids 1 2 complex 0 1 0 1 node_ids components 3548 X 9.3929e+01 0.0000e+00 -5.2330e+01 0.0000e+00 Y -4.3312e+02 0.0000e+00 1.8810e+02 0.0000e+00 Z 9.6172e-01 0.0000e+00 -1.3049e+01 0.0000e+00 3656 X 1.0516e+02 0.0000e+00 -5.8461e+01 0.0000e+00 Y -4.6059e+02 0.0000e+00 2.0315e+02 0.0000e+00 Z 9.4728e-01 0.0000e+00 -1.3728e+01 0.0000e+00 ... ... ... ... ... ... results U set_ids 1 complex 0 node_ids components 3548 X 9.3929e+01 Y -4.3312e+02 Z 9.6172e-01 3656 X 1.0516e+02 Y -4.6059e+02 Z 9.4728e-01 ... ... ... results U set_ids 1 complex 1 node_ids components 3548 X 0.0000e+00 Y 0.0000e+00 Z 0.0000e+00 3656 X 0.0000e+00 Y 0.0000e+00 Z 0.0000e+00 ... ... ... results U set_ids 2 complex 0 node_ids components 3548 X -5.2330e+01 Y 1.8810e+02 Z -1.3049e+01 3656 X -5.8461e+01 Y 2.0315e+02 Z -1.3728e+01 ... ... ... .. GENERATED FROM PYTHON SOURCE LINES 61-63 Extract stress eqv over a list of frequencies sets -------------------------------------------------- .. GENERATED FROM PYTHON SOURCE LINES 63-78 .. code-block:: Python stress_eqv = simulation.stress_eqv_von_mises_nodal(set_ids=[1, 2]) print(stress_eqv) sub_eqv = stress_eqv.select(complex=0, set_ids=1) print(sub_eqv) sub_eqv.plot(title="S_eqv real") sub_eqv = stress_eqv.select(complex=1, set_ids=1) print(sub_eqv) sub_eqv.plot(title="S_eqv imaginary") sub_eqv = stress_eqv.select(complex=0, set_ids=2) print(sub_eqv) sub_eqv.plot(title="S_eqv real") .. rst-class:: sphx-glr-horizontal * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_004.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_004.png :class: sphx-glr-multi-img * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_005.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_005.png :class: sphx-glr-multi-img * .. image-sg:: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_006.png :alt: 04 harmonic complex results :srcset: /examples/00-Different-analysis-types/images/sphx_glr_04-harmonic-complex-results_006.png :class: sphx-glr-multi-img .. rst-class:: sphx-glr-script-out .. code-block:: none results S_VM set_ids 1 2 complex 0 1 0 1 node_ids 3548 2.3945e+04 0.0000e+00 4.3578e+04 0.0000e+00 3656 8.7565e+03 0.0000e+00 3.0708e+04 0.0000e+00 4099 3.0310e+04 0.0000e+00 4.3383e+04 0.0000e+00 3760 1.3355e+04 0.0000e+00 3.2525e+04 0.0000e+00 3387 5.1281e+03 0.0000e+00 2.0660e+04 0.0000e+00 3549 5.8202e+03 0.0000e+00 1.9550e+04 0.0000e+00 ... ... ... ... ... results S_VM set_ids 1 complex 0 node_ids 3548 2.3945e+04 3656 8.7565e+03 4099 3.0310e+04 3760 1.3355e+04 3387 5.1281e+03 3549 5.8202e+03 ... ... results S_VM set_ids 1 complex 1 node_ids 3548 0.0000e+00 3656 0.0000e+00 4099 0.0000e+00 3760 0.0000e+00 3387 0.0000e+00 3549 0.0000e+00 ... ... results S_VM set_ids 2 complex 0 node_ids 3548 4.3578e+04 3656 3.0708e+04 4099 4.3383e+04 3760 3.2525e+04 3387 2.0660e+04 3549 1.9550e+04 ... ... .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 5.512 seconds) .. _sphx_glr_download_examples_00-Different-analysis-types_04-harmonic-complex-results.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: 04-harmonic-complex-results.ipynb <04-harmonic-complex-results.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 04-harmonic-complex-results.py <04-harmonic-complex-results.py>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_