.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples\05-Legacy\07-result_keywords.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_05-Legacy_07-result_keywords.py: .. _ref_result_keywords: Result keywords =============== **结果关键字** 此示例演示如何在从 ``Solution`` 对象调用 ``result`` 对象时使用关键字获得更精确的结果。 .. GENERATED FROM PYTHON SOURCE LINES 12-15 Perform required imports ------------------------ **执行所需的导入** .. GENERATED FROM PYTHON SOURCE LINES 15-19 .. code-block:: Python from ansys.dpf import post from ansys.dpf.post import examples .. GENERATED FROM PYTHON SOURCE LINES 20-23 Get ``Solution`` object ----------------------- **获取 ``Solution`` 对象** .. GENERATED FROM PYTHON SOURCE LINES 23-26 .. code-block:: Python solution = post.load_solution(examples.multishells_rst) .. GENERATED FROM PYTHON SOURCE LINES 27-30 Get keyword list ~~~~~~~~~~~~~~~~ **获取关键词列表** .. GENERATED FROM PYTHON SOURCE LINES 30-34 .. code-block:: Python post.print_available_keywords() .. rst-class:: sphx-glr-script-out .. code-block:: none element_scoping: list, int or dpf.core.Scoping grouping: str. Use post.grouping.(...) as helper. location: str. Use post.locations.(...) as helper. mapdl_grouping: int. Write 186 to get mapdl_elements solid_186. named_selection: str. Name of named_selection. node_scoping: list, int or dpf.core.Scoping path: DpfPath object that contains a list of coordinates, e.g. [[0.1, 0.0, 0.0], [0.0, 0.1, 0.0]]. set: int time: float time_scoping: list, int or dpf.core.Scoping .. GENERATED FROM PYTHON SOURCE LINES 35-38 Get ``Result`` objects ---------------------- **获取 ``Result`` 对象** .. GENERATED FROM PYTHON SOURCE LINES 41-44 Get displacement result using scoping ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ **使用范围获取相应位移 ``Result`` 对象** .. GENERATED FROM PYTHON SOURCE LINES 46-47 默认 ``location`` 是 ``nodal``。 .. GENERATED FROM PYTHON SOURCE LINES 47-53 .. code-block:: Python displacement_result = solution.displacement( location=post.locations.nodal, node_scoping=[1, 2, 3] ) displacement = displacement_result.vector .. GENERATED FROM PYTHON SOURCE LINES 54-55 这段代码首先调用 ``solution`` 对象的 ``displacement`` 方法，获取节点 1、2、3 的位移信息。参数 ``location=post.locations.nodal`` 表示获取节点的位移， ``node_scoping=[1, 2, 3]`` 表示只考虑节点 1、2、3。 .. GENERATED FROM PYTHON SOURCE LINES 55-58 .. code-block:: Python # 然后，代码获取位移结果的向量部分，并将其存储在 ``displacement`` 中。 .. GENERATED FROM PYTHON SOURCE LINES 59-62 Get information on result ~~~~~~~~~~~~~~~~~~~~~~~~~ **获取位移结果信息** .. GENERATED FROM PYTHON SOURCE LINES 62-77 .. code-block:: Python # 首先调用 ``displacement`` 对象的 ``get_data_at_field`` 方法，获取第一个字段的位移数据。 displacement.get_data_at_field(0) # 调用 ``solution`` 对象的 ``stress`` 方法，获取单元 1 的应力信息。参数 ``location=post.locations.elemental_nodal`` 表示获取单元节点的应力， ``element_scoping=[1]`` 表示只考虑单元 1。 stress_with_elem_scop_result = solution.stress( location=post.locations.elemental_nodal, element_scoping=[1] ) # 接着，代码获取应力结果的张量部分，并将其存储在 ``stress_with_elem_scop`` 中。 stress_with_elem_scop = stress_with_elem_scop_result.tensor # 最后，代码调用 ``stress_with_elem_scop`` 的 ``get_data_at_field`` 方法，获取第一个字段的应力数据。 stress_with_elem_scop.get_data_at_field(0) .. rst-class:: sphx-glr-script-out .. code-block:: none DPFArray([[-1.89351567e+10, -1.76835359e+10, -1.23315384e+10, 1.27527844e+10, 5.75103130e+09, 4.30928026e+09], [ 2.26888166e+09, -1.98936699e+10, -4.28985472e+09, 3.73483930e+10, 1.28815250e+07, 2.29405491e+09], [ 4.62267494e+09, 4.15775621e+10, 1.28377395e+10, 1.36264980e+10, 5.61091738e+09, 4.14261606e+09], [ 3.07029586e+10, 6.01620111e+10, 9.52341402e+09, 2.26091377e+10, -1.73616087e+10, -4.64480973e+09], [ 3.09432279e+10, -2.77392410e+09, -6.13098650e+09, 9.00784538e+09, 3.47990848e+08, -2.41304392e+10], [ 2.80970793e+10, 5.10227200e+09, 4.87711840e+08, 1.04294881e+10, 1.77319514e+09, -3.26250573e+09], [-3.35771187e+09, -7.58900634e+09, -5.19623475e+09, -9.62379008e+08, 7.06462080e+07, -8.84417984e+08], [-1.66533110e+10, -5.39330662e+09, -1.18382500e+10, -3.91451443e+09, 7.81984448e+08, 1.12681376e+08]]) .. GENERATED FROM PYTHON SOURCE LINES 78-81 Use named selection on result ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ **在位移结果上使用命名选择** .. GENERATED FROM PYTHON SOURCE LINES 81-96 .. code-block:: Python # 这段代码首先调用 ``solution`` 对象的 ``stress`` 方法，获取名为 "SELECTION" 的命名选择的应力信息。参数 ``location=post.locations.elemental_nodal`` 表示获取单元节点的应力，``named_selection="SELECTION"`` 表示只考虑名为 "SELECTION" 的命名选择。 stress_on_ns_result = solution.stress( location=post.locations.elemental_nodal, named_selection="SELECTION" ) # 然后，代码获取应力结果的张量部分，并将其存储在 ``stress_on_ns`` 中。 stress_on_ns = stress_on_ns_result.tensor # 接着，代码获取 ``stress_on_ns`` 的字段数量。 stress_on_ns.num_fields # 最后，代码获取 ``stress_on_ns`` 的第一个字段的长度。 len(stress_on_ns[0]) .. rst-class:: sphx-glr-script-out .. code-block:: none 5040 .. GENERATED FROM PYTHON SOURCE LINES 97-100 Get a subresult ~~~~~~~~~~~~~~~~~ **获取子结果** .. GENERATED FROM PYTHON SOURCE LINES 100-113 .. code-block:: Python # 首先从 ``displacement_result`` 对象中获取 x 分量的位移，然后存储在 ``disp_x`` 中。 disp_x = displacement_result.x # 然后从 ``stress_with_elem_scop_result`` 对象中获取 yz 分量的应力，然后存储在 ``stress_yz`` 中。 stress_yz = stress_with_elem_scop_result.yz # 接着，代码从 ``stress_on_ns_result`` 对象中获取第三主应力，然后存储在 ``stress_principal_1`` 中。 stress_principal_1 = stress_on_ns_result.principal_3 # 最后，打印 stress_principal_1 的值。 stress_principal_1 .. rst-class:: sphx-glr-script-out .. code-block:: none .. GENERATED FROM PYTHON SOURCE LINES 114-117 Filter result ~~~~~~~~~~~~~~~ **筛选结果** .. GENERATED FROM PYTHON SOURCE LINES 119-120 根据 time 、 time scoping 和 set 过滤结果。 .. GENERATED FROM PYTHON SOURCE LINES 120-138 .. code-block:: Python # 首先打印 ``solution`` 对象的 ``time_freq_support`` 属性，这通常表示 ``solution`` 支持的时间或频率范围。 print(solution.time_freq_support) # 代码调用 ``solution`` 对象的 ``stress`` 方法，获取时间为 1.0s 的应力信息。参数 ``time=1.0`` 表示获取时间为 1.0s 的应力。 stress_on_time_1s_result = solution.stress(time=1.0) stress_on_time_1s = stress_on_time_1s_result.tensor # 这段代码首先调用 ``solution`` 对象的 ``displacement`` 方法，获取集合 1 的位移信息。参数 ``set=1`` 表示获取集合 1 的位移。 # 代码获取位移结果的向量部分，并将其存储在 ``displacement_on_set_1`` 中。 displacement_on_set_1_result = solution.displacement(set=1) displacement_on_set_1 = displacement_on_set_1_result.vector # 代码调用 ``solution`` 对象的 ``elastic_strain`` 方法，获取时间为 1 和 3 的弹性应变信息。参数 ``time_scoping=[1, 3]`` 表示获取时间为 1 和 3 的弹性应变。 elastic_strain_with_time_scoping_result = solution.elastic_strain(time_scoping=[1, 3]) elastic_strain_with_time_scoping = elastic_strain_with_time_scoping_result.tensor elastic_strain_with_time_scoping .. rst-class:: sphx-glr-script-out .. code-block:: none DPF Time/Freq Support: Number of sets: 1 Cumulative Time (s) LoadStep Substep 1 1.000000 1 1 .. GENERATED FROM PYTHON SOURCE LINES 139-142 Make grouping ~~~~~~~~~~~~~ **进行分组** .. GENERATED FROM PYTHON SOURCE LINES 142-149 .. code-block:: Python # 这段代码首先调用 ``solution`` 对象的 ``displacement`` 方法，获取按单元形状分组的位移信息。参数 ``grouping=post.grouping.by_el_shape`` 表示按单元形状进行分组。 # 然后，代码获取位移结果的向量部分，并将其存储在 ``displacement_by_el_shape`` 中。 displacement_result = solution.displacement(grouping=post.grouping.by_el_shape) displacement_by_el_shape = displacement_result.vector displacement_by_el_shape .. rst-class:: sphx-glr-script-out .. code-block:: none .. GENERATED FROM PYTHON SOURCE LINES 150-153 Filter MAPDL elements ~~~~~~~~~~~~~~~~~~~~~ 筛选 MAPDL 单元 .. GENERATED FROM PYTHON SOURCE LINES 155-156 筛选出类型为 solid 186 的单元 .. GENERATED FROM PYTHON SOURCE LINES 156-161 .. code-block:: Python stress_result = solution.stress(mapdl_grouping=186) stress_on_solid_186 = stress_result.tensor stress_on_solid_186 .. rst-class:: sphx-glr-script-out .. code-block:: none .. GENERATED FROM PYTHON SOURCE LINES 162-165 Manipulate result and change its definition ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ **操作结果并更改其定义** .. GENERATED FROM PYTHON SOURCE LINES 165-178 .. code-block:: Python print(stress_on_ns_result) print(stress_on_ns_result.definition.location) stress_on_ns_result.definition.location = post.locations.elemental stress_on_ns_result.definition.time = 1.0 stress_on_ns_elemental = stress_on_ns_result.tensor # 这段代码首先将 ``stress_on_ns_result`` 的定义中的位置信息设置为单元位置，将时间设置为 1.0。 # 然后，代码获取应力结果的张量部分，并将其存储在 ``stress_on_ns_elemental`` 中。 print(stress_on_ns_result) .. rst-class:: sphx-glr-script-out .. code-block:: none Stress Tensor object. Object properties: - location : ElementalNodal - named_selection : SELECTION ElementalNodal Stress Tensor object. Object properties: - location : Elemental - named_selection : SELECTION - time : 1.0 .. GENERATED FROM PYTHON SOURCE LINES 179-182 Use miscellaneous results ~~~~~~~~~~~~~~~~~~~~~~~~~ **使用杂项结果** .. GENERATED FROM PYTHON SOURCE LINES 184-185 您可以在这里使用相同的关键字。对于复杂的结果，也可以使用关键字 ``phase`` ，它有一个浮点数值。(/mɪsə'leɪniəs/) .. GENERATED FROM PYTHON SOURCE LINES 185-189 .. code-block:: Python # 这段代码首先调用 ``solution`` 对象的 ``misc`` 属性中的 ``elemental_stress_ratio`` 方法，获取节点 1 和 32 在时间 1.0s 的单元应力比。参数 ``node_scoping=[1, 32]`` 表示只考虑节点 1 和 32，``time=1.0`` 表示获取时间为 1.0s 的应力比。 stress_ratio = solution.misc.elemental_stress_ratio(node_scoping=[1, 32], time=1.0) print(stress_ratio) .. rst-class:: sphx-glr-script-out .. code-block:: none Stress result. This result has been computed using dpf.core.Operator objects, which have been chained together according to the following list: - ENL_SRAT: Result operator. Compute the desired result. - to_elemental_fc: This operator computes the elemental averaging of a fields container. .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 2.394 seconds) .. _sphx_glr_download_examples_05-Legacy_07-result_keywords.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: 07-result_keywords.ipynb <07-result_keywords.ipynb>` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: 07-result_keywords.py <07-result_keywords.py>` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_