How to extract contact gap using PyDPF

Vishnu

A similar procedure could be adapted for mechdpf using python results as well.

The method below uses getattribute which makes the code very generic for extraction of various result fields.

We can typically modify the result_name (in line 8) while keeping the rest of the code intact, effectively serving as a template.

Vishnu

import matplotlib.pyplot as pyplot
from ansys.dpf import core as dpf
from ansys.dpf.core.plotter import DpfPlotter


# Inputs
rstpath = r"Your path to \file.rst"
result_name = "contact_gap_distance"

# data source
my_data_sources = dpf.DataSources(rstpath)

# model
my_model = dpf.Model(rstpath)

# mesh
my_mesh = my_model.metadata.meshed_region

# Time List
my_time_scoping = (
    dpf.operators.metadata.time_freq_provider(data_sources=my_data_sources)
    .outputs.time_freq_support.get_data()
    .time_frequencies.data_as_list
)

# all available results
all_results = dir(dpf.operators.result)

# Get result operator
result_operator = dpf.operators.result.__getattribute__(result_name)



# Field Containers at ns
result_field_container = result_operator(
    time_scoping=1,
    data_sources=my_data_sources,
    mesh=my_mesh,
).outputs.fields_container.get_data()

# Field Containers at all mesh
result_field_container = result_operator(
    time_scoping=my_time_scoping, data_sources=my_data_sources, mesh=my_mesh
).outputs.fields_container.get_data()

#convrting to nodalresults
result_field_container = dpf.operators.averaging.to_nodal_fc(
    fields_container=result_field_container,
    mesh=my_mesh,
).outputs.fields_container.get_data()

# First Field usually field corresponding to first time scoping
resultfield = result_field_container[0]

# Chain Multiple operators here if you want########example below

# minmax
min_max_op = dpf.operators.min_max.min_max_fc(result_field_container)
min_field = min_max_op.outputs.field_min()
max_field = min_max_op.outputs.field_max()

# Scoping nodes or elements
result_scoping = resultfield.scoping.ids

# print result at all scopings and results corresponding to it
result_scoping.sort()
for scoping in result_scoping:
    try:
        print(
            "result at scoping -->",
            scoping,
            "is -->",
            resultfield.get_entity_data_by_id(scoping),
        )
    except:
        print("issue in extracting result for -->", scoping)
# plot the field on your mesh
pl = DpfPlotter()
pl.add_mesh(my_mesh)
pl.add_field(resultfield, show_max=True, show_min=True)
pl.show_figure()


# graph plot using matplotlib
pyplot.plot(my_time_scoping, max_field.data_as_list, "ro", label="Max")
pyplot.plot(my_time_scoping, min_field.data_as_list, "bo", label="Min")
pyplot.xlabel("Time (s)")
pyplot.ylabel("Result (unit_of_result)")
pyplot.legend()
pyplot.show()

Mike.Thompson

@Vishnu ,
Seems like there is an operator for this: op = dpf.operators.result.contact_gap_distance()

Why are you using the more obscure method of:
result_operator = dpf.operators.result.getattribute(result_name)

Is there a difference in what you are doing vs. the documented operator?

Vishnu

@Mike.Thompson
This method tends to be quite generic. The customer can usually modify the result_name (in line 8) while keeping the rest of the code intact, effectively serving as a template for users.