Introduction

This package provides some convenient routines for working with raw data produced by the MTS Tension-Torsion machine located in the Materials Lab in the Engineering Materials division at Chalmers. Compensation parameters are hard-coded for this machine, and were reported in Meyer et al. (2018) [https://doi.org/10.1016/j.ijsolstr.2017.10.007]

Installation

Prerequisites

python installed with conda (anaconda) and be able to run conda and python from your shell.
conda activate should work from your shell

Installation

Download repository using git: git clone git@github.com:KnutAM/cth_mts_biax.git
In your shell, change directory to the cth_mts_biax folder and run * conda activate base (Advanced: Use your own custom environment instead of base) * conda install sphinx_rtd_theme * pip install .

Tutorial

In this tutorial, we will use the example python scripts in the examples folder. It is advisable to copy the content of this folder to another location on your computer.

Using a shell

In shell (bash, cmd, powershell, etc.), run the following commands

conda activate base (or another environment if you have installed to that)
python <example_file>

where <example_file> can be raw_data_ex.py, read_variables_ex.py, or xml_to_hdf5_ex.py.

Using PyCharm

Open the copied examples folder in PyCharm. See PyCharm’s manual for information how to activate the conda environment for your file/project. After activating the project, you can run the example files, raw_data_ex.py, read_variables_ex.py, or xml_to_hdf5_ex.py, inside PyCharm