From 2b03f5f73b6ef49ac3c4e5f07820df9bab50ced3 Mon Sep 17 00:00:00 2001
From: Roman Ilchenko <44849889+RomanIlchenko1308@users.noreply.github.com>
Date: Wed, 26 Jan 2022 19:07:36 +0100
Subject: [PATCH] Add Verification Manual VM8 (#820)
* VM8 almost finishe code, idea how to modify NDIST
* check kp distances and use updates of kdist
* vm8 check
* almost all code without comments
* deleted unnecessary files
* deleted old file without ndist and kdist functionality
* removed old file and created new one to check kdist functionality
* Full script without comments
* extra modifications
* check vm8
* updated and simplified pandas dataframe with output results
* Modified Output dataframe and added comments
* Modified LaTex style at the Check Output
* add numbers of the kps and nodes
* Added f-string properties to the print outputs
* Added vtk and numbering to the kps and nodes plotting
* adding description
* chaged a style inside of the keypoint and node topic
* fixed some mistakes of the description
* fixing style of script for pandas data frame settings
* check unit testing
* added Analysis Assumptions description
* VM is ready to review
* VM is ready to review
* VM is ready to review1
* VM8 is ready to review
* VM8 changed name of the class block
* Delete misc.xml
* Delete pymapdl.iml
* removed idea files
* changed names of the methods
* VM8 is ready to be merged, almost all suggestions were added
* VM8 is rebuilt with decorator property and ready to review
* Removed styling setting, left just format style for decimals
* Unit test check
* Unit test check2
* VM8 Last update, ready to be merged
* VM8 check
* VM10 check test
Co-authored-by: German <28149841+germa89@users.noreply.github.com>
---
.idea/.gitignore | 3 -
.../inspectionProfiles/profiles_settings.xml | 6 -
.idea/misc.xml | 4 -
.idea/modules.xml | 8 -
.idea/pymapdl.iml | 17 --
.idea/vcs.xml | 6 -
doc/source/_static/vm8_setup.png | Bin 0 -> 7688 bytes
.../vm-008-parametric_calculation.py | 232 ++++++++++++++++++
8 files changed, 232 insertions(+), 44 deletions(-)
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create mode 100644 doc/source/_static/vm8_setup.png
create mode 100644 examples/06-verif-manual/vm-008-parametric_calculation.py
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diff --git a/doc/source/_static/vm8_setup.png b/doc/source/_static/vm8_setup.png
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diff --git a/examples/06-verif-manual/vm-008-parametric_calculation.py b/examples/06-verif-manual/vm-008-parametric_calculation.py
new file mode 100644
index 0000000000..f83219551a
--- /dev/null
+++ b/examples/06-verif-manual/vm-008-parametric_calculation.py
@@ -0,0 +1,232 @@
+r"""
+.. _ref_vm8_example:
+
+Parametric Calculation
+----------------------
+Problem Description:
+ - Write a user file macro to calculate the distance ``d`` between either nodes
+ or keypoints in ``PREP7``. Define abbreviations for calling the macro and
+ verify the parametric expressions by using the macro to calculate
+ the distance between nodes :math:`N_1` and :math:`N_2` and
+ between keypoints :math:`K_3` and :math:`K_4`.
+
+Reference:
+ - None.
+
+Analysis Type(s):
+ - Parametric Arithmetic.
+
+Element Type:
+ - None.
+
+Geometric Properties(Coordinates):
+ - :math:`N_{\mathrm{1(x,y,z)}} = 1.5, 2.5, 3.5`
+ - :math:`N_{\mathrm{2(x,y,z)}} = -3.7, 4.6, -3`
+ - :math:`K_{\mathrm{3(x,y,z)}} = 100, 0, 30`
+ - :math:`K_{\mathrm{4(x,y,z)}} = -200,25,80`
+
+.. image:: ../../_static/vm8_setup.png
+ :width: 300
+ :alt: VM8 Problem Sketch
+
+Analysis Assumptions and Modeling Notes:
+ - Instead of ``*CREATE``, ``*USE``, etc., we have created a class
+ ``Create`` with methods that correspond to each type of simulation.
+ This class gives a possibility to change coordinates and reuse it.
+ The simulation can be checked not just by target values, but also
+ with the simple distances' formula between keypoints as:
+
+ * Calculate distance between two keypoints in the Cartesian coordinate system:
+ :math:`D = \sqrt[2]{(x_2 - x_1)^2 + (y_2 - y_1)^2 + (z_2 - z_1)^2}`
+ * Python representation of the distance formula:
+ .. doctest::
+
+ import math
+ # Define coordinates for keypoints K3 and K4.
+ x1, y1, z1 = 100, 0, 30
+ x2, y2, z2 = -200, 25, 80
+ dist_kp = math.sqrt((x2 - x1)**2 + (y2 - y1)**2 + (z2 - z1)**2)
+ print(dist_kp)
+
+"""
+
+###############################################################################
+# Start MAPDL
+# ~~~~~~~~~~~
+# Start MAPDL and import Numpy and Pandas libraries.
+
+# sphinx_gallery_thumbnail_path = '_static/vm8_setup.png'
+
+import numpy as np
+import pandas as pd
+
+from ansys.mapdl.core import launch_mapdl
+
+# Start MAPDL.
+mapdl = launch_mapdl()
+
+
+###############################################################################
+# Pre-Processing
+# ~~~~~~~~~~~~~~
+# Enter verification example mode and the pre-processing routine.
+
+mapdl.clear()
+mapdl.verify()
+mapdl.prep7(mute=True)
+
+
+###############################################################################
+# Define Class
+# ~~~~~~~~~~~~
+# Identifying the class ``create`` with methods ``create_kp_method`` and
+# ``create_node_method`` to calculate and plot the distances between keypoints
+# and nodes.
+
+class Create:
+ def __init__(self, p1, p2):
+ # Points Attributes.
+ self.p1 = p1
+ self.p2 = p2
+
+ def kp_distances(self):
+
+ # Define keypoints by coordinates.
+ kp1 = mapdl.k(npt=3, x=self.p1[0], y=self.p1[1], z=self.p1[2])
+ kp2 = mapdl.k(npt=4, x=self.p2[0], y=self.p2[1], z=self.p2[2])
+
+ # Get the distance between keypoints.
+ dist_kp, kx, ky, kz = mapdl.kdist(kp1, kp2)
+
+ # Plot keypoints.
+ mapdl.kplot(show_keypoint_numbering=True,
+ vtk=True,
+ background="grey",
+ show_bounds=True,
+ font_size=26)
+ return dist_kp
+
+ def node_distances(self):
+
+ # Define nodes by coordinates.
+ node1 = mapdl.n(node=1, x=self.p1[0], y=self.p1[1], z=self.p1[2])
+ node2 = mapdl.n(node=2, x=self.p2[0], y=self.p2[1], z=self.p2[2])
+
+ # Get the distance between nodes.
+ dist_node, node_x, node_y, node_z = mapdl.ndist(node1, node2)
+
+ # Plot nodes.
+ mapdl.nplot(nnum=True,
+ vtk=True,
+ color="grey",
+ show_bounds=True,
+ font_size=26)
+ return dist_node
+
+ @property
+ def p1(self):
+ # Getting value
+ return self._p1
+
+ @p1.setter
+ def p1(self, new_value):
+ # Check the data type:
+ if not isinstance(new_value, list):
+ raise ValueError("The coordinates should be implemented by the list!")
+ # Check the quantity of items:
+ if len(new_value) != 3:
+ raise ValueError("The coordinates should have three items in the list as [X, Y, Z]")
+ self._p1 = new_value
+
+ @property
+ def p2(self):
+ return self._p2
+
+ @p2.setter
+ def p2(self, new_value):
+ # Check the data type:
+ if not isinstance(new_value, list):
+ raise ValueError("The coordinates should be implemented by the list!")
+ # Check the quantity of items:
+ if len(new_value) != 3:
+ raise ValueError("The coordinates should have three items in the list as [X, Y, Z]")
+ self._p2 = new_value
+
+
+###############################################################################
+# Distance between keypoints
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~
+# Using already created method for keypoints to get the distance between them
+# and print out an output. The keypoints have got next coordinates:
+#
+# * :math:`K_{\mathrm{3(x,y,z)}} = 100, 0, 30`
+# * :math:`K_{\mathrm{4(x,y,z)}} = -200, 25,80`
+
+kp1 = [100, 0, 30]
+kp2 = [-200, 25, 80]
+kp = Create(kp1, kp2)
+kp_dist = kp.kp_distances()
+print(f"Distance between keypoint is: {kp_dist:.2f}\n\n")
+
+# Print the list of keypoints.
+print(mapdl.klist())
+
+
+###############################################################################
+# Distance between nodes.
+# ~~~~~~~~~~~~~~~~~~~~~~~~~~
+# Using already created method for nodes to get the distance between them and
+# print out an output. The nodes have got next coordinates:
+#
+# * :math:`N_{\mathrm{1(x,y,z)}} = 1.5, 2.5, 3.5`
+# * :math:`N_{\mathrm{2(x,y,z)}} = -3.7, 4.6, -3`
+
+node1 = [1.5, 2.5, 3.5]
+node2 = [-3.7, 4.6, -3]
+nodes = Create(node1, node2)
+node_dist = nodes.node_distances()
+print(f"Distance between nodes is: {node_dist:.2f}\n\n")
+
+# Print the list of nodes.
+print(mapdl.nlist())
+
+
+###############################################################################
+# Check Results
+# ~~~~~~~~~~~~~
+# Finally we have the results of the distances for both simulations,
+# which can be compared with expected target values:
+#
+# - 1st simulation to get the distance between keypoints :math:`K_3` and :math:`K_4`, where :math:`LEN_1 = 305.16\,(in)`
+# - 2nd simulation to get the distance between nodes :math:`N_1` and :math:`N_2`, where :math:`LEN_2 = 8.58\,(in)`
+#
+# For better representation of the results we can use ``pandas`` dataframe
+# with following settings below:
+
+# Define the names of the rows.
+row_names = ["N1 - N2 distance (LEN2)",
+ "K3 - K4 distance (LEN1)"]
+
+# Define the names of the columns.
+col_names = ['Target',
+ 'Mechanical APDL',
+ 'RATIO']
+
+# Define the values of the target results.
+target_res = np.asarray([8.5849, 305.16])
+
+# Create an array with outputs of the simulations.
+simulation_res = np.asarray([node_dist, kp_dist])
+
+# Identifying and filling corresponding columns.
+main_columns = {
+ "Target": target_res,
+ "Mechanical APDL": simulation_res,
+ "Ratio": list(np.divide(simulation_res, target_res))
+}
+
+# Create and fill the output dataframe with pandas.
+df2 = pd.DataFrame(main_columns, index=row_names).round(2)
+
+# Apply settings for the dataframe.
+df2.head()