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v0.6.1: improve field indexer for layered solid elements (#515)
* Fix Field Indexer and get_element_indices for layered solids and add example of a thermal analysis (#512) * Fix Field Indexer by distinguish between fields with data pointers and without Add draft of an example for a thermal analysis * Bump version 0.6.1 --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Dominik Gresch <greschd@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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‎doc/source/conf.py

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from datetime import datetime
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import os
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from ansys_sphinx_theme import ansys_favicon, get_version_match, pyansys_logo_black
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from ansys_sphinx_theme import ansys_favicon, get_version_match
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import numpy as np
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import pyvista
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from pyvista.plotting.utilities.sphinx_gallery import DynamicScraper
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release = version = __version__
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# Select desired logo, theme, and declare the html title
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html_logo = pyansys_logo_black
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html_favicon = ansys_favicon
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html_theme = "ansys_sphinx_theme"
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html_short_title = html_title = "PyDPF Composites"
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cname = os.environ.get("DOCUMENTATION_CNAME", "composites.dpf.docs.pyansys.com")
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html_theme_options = {
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"logo": "pyansys",
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"github_url": "https://github.com/ansys/pydpf-composites",
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"show_prev_next": False,
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"show_breadcrumbs": True,

‎examples/013_thermal_example.py

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# Copyright (C) 2023 - 2024 ANSYS, Inc. and/or its affiliates.
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# SPDX-License-Identifier: MIT
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#
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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"""
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.. _thermal_example:
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Thermal analysis
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----------------
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PyDPF Composites can also be used to post-process thermal analyses.
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In this case, the simulation is a two-step analysis where the results of
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a thermal analysis are an input of the structural analysis. So, the RST
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contains temperature and structural results.
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The example mimics a PCB which was modeled with Ansys Composites PrePost (ACP).
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where the solid model feature of ACP is used to generate the volume mesh.
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In detail, the example shows how to extract the temperatures for a specific ply,
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and a specific material.
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.. note::
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When using a Workbench project,
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use the :func:`.get_composite_files_from_workbench_result_folder`
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method to obtain the input files.
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"""
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# %%
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# Set up analysis
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# ~~~~~~~~~~~~~~~
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# Setting up the analysis consists of loading the required modules, connecting to the
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# DPF server, and retrieving the example files.
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#
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import ansys.dpf.core as dpf
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import numpy as np
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from ansys.dpf.composites.composite_model import CompositeModel
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from ansys.dpf.composites.constants import TEMPERATURE_COMPONENT
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from ansys.dpf.composites.example_helper import get_continuous_fiber_example_files
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from ansys.dpf.composites.layup_info import get_all_analysis_ply_names
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from ansys.dpf.composites.ply_wise_data import SpotReductionStrategy, get_ply_wise_data
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from ansys.dpf.composites.select_indices import get_selected_indices_by_dpf_material_ids
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from ansys.dpf.composites.server_helpers import connect_to_or_start_server
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server = connect_to_or_start_server()
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composite_files = get_continuous_fiber_example_files(server, "thermal_solid")
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# %%
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# Initialize the model
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# ~~~~~~~~~~~~~~~~~~~~
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# The composite model is initialized with the composite files and the server.
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# It provides access to the mesh, results, lay-up and materials
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composite_model = CompositeModel(composite_files, server)
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# %%
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# Get Results - Temperatures
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~
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# The temperatures are stored under structural_temperature
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temp_op = composite_model.core_model.results.structural_temperature()
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temperatures_fc = temp_op.outputs.fields_container()
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# %%
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# Ply-wise results
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# ~~~~~~~~~~~~~~~~
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# Ply-wise results can be easily extracted using the function
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# :func:`.get_ply_wise_data` and by passing the ply name.
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all_ply_names = get_all_analysis_ply_names(composite_model.get_mesh())
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print(all_ply_names)
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nodal_values = get_ply_wise_data(
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field=temperatures_fc,
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ply_name="P1L1__ModelingPly.8",
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mesh=composite_model.get_mesh(),
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component=TEMPERATURE_COMPONENT,
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spot_reduction_strategy=SpotReductionStrategy.MAX,
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requested_location=dpf.locations.nodal,
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)
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composite_model.get_mesh().plot(nodal_values)
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# %%
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# Material-wise results
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# ~~~~~~~~~~~~~~~~~~~~~
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# It is also possible to filter the results by material.
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# In this example the element-wise maximum temperature
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# is extracted for the material `Honeycomb Aluminum Alloy`.
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print(composite_model.material_names)
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material_id = composite_model.material_names["Honeycomb Aluminum Alloy"]
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# get the last result field
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temperatures_field = temperatures_fc[-1]
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material_result_field = dpf.field.Field(location=dpf.locations.elemental, nature=dpf.natures.scalar)
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# performance optimization: use a local field instead of a field which is pushed to the server
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with material_result_field.as_local_field() as local_result_field:
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element_ids = temperatures_field.scoping.ids
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for element_id in element_ids:
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element_info = composite_model.get_element_info(element_id)
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assert element_info is not None
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if material_id in element_info.dpf_material_ids:
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temp_data = temperatures_field.get_entity_data_by_id(element_id)
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selected_indices = get_selected_indices_by_dpf_material_ids(element_info, [material_id])
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value = np.max(temp_data[selected_indices])
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local_result_field.append([value], element_id)
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composite_model.get_mesh().plot(material_result_field)

‎pyproject.toml

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# Check https://python-poetry.org/docs/pyproject/ for all available sections
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name = "ansys-dpf-composites"
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# Switch to released version of dpf core releasing pydpf-composites!
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version = "0.6.0"
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version = "0.6.1"
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description = "Post-processing of composite structures based on Ansys DPF"
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license = "MIT"
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authors = ["ANSYS, Inc. <ansys.support@ansys.com>"]

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