Expand mesh and results for modal cyclic symmetry#

This example shows a modal cyclic symmetry model with mesh and results expansions.

from ansys.dpf import core as dpf
from ansys.dpf.core import examples

Create the model and display the state of the result.

model = dpf.Model(examples.find_simple_cyclic())
print(model)
DPF Model
------------------------------
Modal analysis
Unit system: MKS: m, kg, N, s, V, A, degC
Physics Type: Mechanical
Available results:
     -  displacement: Nodal Displacement
     -  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
     -  element_euler_angles: ElementalNodal Element Euler Angles
     -  structural_temperature: ElementalNodal Structural temperature
------------------------------
DPF  Meshed Region:
  51 nodes
  4 elements
  Unit: m
  With solid (3D) elements
------------------------------
DPF  Time/Freq Support:
  Number of sets: 30
Cumulative     Frequency (Hz) LoadStep       Substep        Harmonic index
1              670386.325235  1              1              0.000000
2              872361.424038  1              2              0.000000
3              1142526.525324 1              3              0.000000
4              1252446.741551 1              4              0.000000
5              1257379.552140 1              5              0.000000
6              1347919.358013 1              6              0.000000
7              679667.393214  2              1              1.000000
8              679667.393214  2              2              -1.000000
9              899321.218481  2              3              -1.000000
10             899321.218481  2              4              1.000000
11             1128387.049511 2              5              1.000000
12             1128387.049511 2              6              -1.000000
13             708505.071361  3              1              -2.000000
14             708505.071361  3              2              2.000000
15             966346.820117  3              3              2.000000
16             966346.820117  3              4              -2.000000
17             1031249.070606 3              5              -2.000000
18             1031249.070606 3              6              2.000000
19             757366.624982  4              1              -3.000000
20             757366.624982  4              2              3.000000
21             926631.623058  4              3              -3.000000
22             926631.623058  4              4              3.000000
23             1035144.649248 4              5              3.000000
24             1035144.649248 4              6              -3.000000
25             807882.379030  5              1              4.000000
26             856868.410638  5              2              4.000000
27             1063247.283632 5              3              4.000000
28             1185511.741334 5              4              4.000000
29             1278969.844256 5              5              4.000000
30             1355579.879820 5              6              4.000000

Expand displacement results#

This example expands displacement results, by default on all nodes and the first time step. Note that the displacements are expanded using the read_cyclic property with 2 as an argument (1 does not perform expansion of the cyclic symmetry).

# Create displacement cyclic operator
u_cyc = model.results.displacement()
u_cyc.inputs.read_cyclic(2)

# expand the displacements
fields = u_cyc.outputs.fields_container()

# # get the expanded mesh
mesh_provider = model.metadata.mesh_provider
mesh_provider.inputs.read_cyclic(2)
mesh = mesh_provider.outputs.mesh()

# plot the expanded result on the expanded mesh
mesh.plot(fields[0])
01 modal cyclic

Expand stresses at a given time step#

# define stress expansion operator and request stresses at time set = 8
scyc_op = model.results.stress()
scyc_op.inputs.read_cyclic(2)
scyc_op.inputs.time_scoping.connect([8])

# request the results averaged on the nodes
scyc_op.inputs.requested_location.connect(dpf.locations.nodal)

# request equivalent von mises operator and connect it to stress operator
eqv = dpf.operators.invariant.von_mises_eqv_fc(scyc_op)

# expand the results and get stress eqv
fields = eqv.outputs.fields_container()

# plot the expanded result on the expanded mesh
# mesh.plot(fields[0])

Expand stresses at given sectors#

# define stress expansion operator and request stresses at time set = 8
# request the results averaged on the nodes
# request results on sectors 1, 3 and 5
scyc_op = dpf.operators.result.cyclic_expanded_stress(
    streams_container=model.metadata.streams_provider,
    time_scoping=[8],
    requested_location=dpf.locations.nodal,
    sectors_to_expand=[1, 3, 5],
)

# extract Sx (use component selector and select the first component)
comp_sel = dpf.operators.logic.component_selector_fc(scyc_op, 0)

# expand the displacements and get the results
fields = comp_sel.outputs.fields_container()

# plot the expanded result on the expanded mesh
# mesh.plot(fields[0])

Expand stresses and average to elemental location#

# define stress expansion operator and request stresses at time set = 8
scyc_op = dpf.operators.result.cyclic_expanded_stress(
    streams_container=model.metadata.streams_provider,
    time_scoping=[8],
    sectors_to_expand=[1, 3, 5],
    bool_rotate_to_global=False,
)

# request to elemental averaging operator
to_elemental = dpf.operators.averaging.to_elemental_fc(scyc_op)

# extract Sy (use component selector and select the component 1)
comp_sel = dpf.operators.logic.component_selector_fc(to_elemental, 1)

# expand the displacements and get the results
fields = comp_sel.outputs.fields_container()

# # plot the expanded result on the expanded mesh
mesh.plot(fields)
01 modal cyclic

Total running time of the script: (0 minutes 3.487 seconds)

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