pyFDEMvisualizer 5.1

Wheel file of pyFDEMvisualizer modules 5.1

Metadata-Version: 2.1 Name: pyFDEMvisualizer Version: 5.1 Summary: Wheel file of pyFDEMvisualizer modules 5.1 Home-page: UNKNOWN Author: University of Toronto, 2022 License: UNKNOWN Platform: UNKNOWN Requires-Python: >=3.5,<=3.9 Description-Content-Type: text/markdown

pyFDEMvisualizer - An FDEM Visualiser Post-Processing Package

V5.1

University of Toronto, 2022

This Python package performs transformations on FDEM models in vtk/vtu format. Functions calculated include:

• Extract information within the FDEM Model based on the name of the array (e.g., Stress, Strain, Temperature, etc...) Works in 2D and 3D.
• Extract stress-strain information for UCS and BD Simulations (Works in 2D and 3D). Optional addition of virtual strain gauges (Limited to 2D).
• Plotting stress vs strain curve.
• Calculate the Elastic Modulus of the dataset. Eavg, Esec and Etan can be evaluated. Works in 2D and 3D.
• Extract information of a particular cell based on a sequence of array names. This can be extended to extracting information along a line. Works in 2D and 3D.
• Extract information of a threshold dataset criteria based on a sequence of array names. Works in 2D and 3D.
• Extract mesh information and plot rosette/polar plots. Limited to 2D.
• Automatic detection/ User-defined assigment of loading direction when analysing mechanical simulations, namely UCS, BD, and PLT, in both 2D and 3D simulations.

How to use it - Termimal

1. After installation is complete, in a terminal/cmd session where you keep your Python projects, type the following command:

   python
   

2. In terminal, import fdem-visualizer module like so:

   import pyFDEMvisualizer as fd
   

3. Specify the path to folder where your models (.vtk, .vtu files) are located on your machine.

   model = fd.Model("abs_model_path_on_machine")
   

4. You are ready to start using openfdem! See the operating module for full description of functions available.

Example OpenFDEM Functions

1. Getting number of points in your model:

   model.n_points
   

   Output:

   11904
   

2. Getting the stress-strain for platen:

       model.complete_stress_strain(progress_bar=True)
   

   Output:

       >>>Script Identifying Platen
       >>>Platen Material ID found as [1]
       >>>Progress: |//////////////////////////////////////////////////| 100.0% Complete
       >>>1.51 seconds
           Platen Stress  Platen Strain
       0    0.000000e+00       0.000000
       1    4.825237e+00       0.009259
       2    9.628823e+00       0.018519
       3    1.441437e+01       0.027778
       4    1.919164e+01       0.037037
       ..            ...            ...
       57   2.036137e-30       0.240741
       58   2.036137e-30       0.250000
       59   2.036137e-30       0.259259
       60   2.036137e-30       0.268519
       61   2.036137e-30       0.277778
   
       [62 rows x 2 columns]
       >>>