Access complex results from a modal or harmonic analysis

This example shows how to use the legacy PyDPF-Post API to access complex results from a modal or harmonic analysis.

Perform required imports

Perform required imports. This example uses a supplied file that you can get by importing the DPF examples package.

from ansys.dpf import post
from ansys.dpf.post import examples

Get Solution object

Get the Solution object. This example loads a file with complex results.

solution = post.load_solution(examples.complex_rst)
solution.has_complex_result()

True

Get displacement result

The displacement result contain a field for real values and a field for imaginary values.

disp_result = solution.displacement()

Check for support of complex frequencies

disp_result.has_complex_frequencies()

True

Compute result

disp = disp_result.vector
disp.num_fields

2

Define phase

The phase value must be a float. The phase unit is degrees.

phase = 39.0
disp_at_phase = disp_result.vector_at_phase(phase)
print(f"Maximum displacement at phase {phase}: ", disp_at_phase.max_data)
print(f"There are {disp_at_phase.num_fields} fields")
real_field = disp_result.vector_at_phase(0.0)
img_field = disp_result.vector_at_phase(90.0)

real_field

Maximum displacement at phase 39.0:  [[2.15187123e-09 2.15185939e-09 3.19282171e-10]]
There are 1 fields

<ansys.dpf.post.result_data.ResultData object at 0x7f43ce5664a0>

Get amplitude

disp_ampl = disp_result.vector_amplitude
disp_ampl.num_fields
disp_ampl.max_data

DPFArray([[2.76946052e-09, 2.76952555e-09, 4.10914321e-10]])