paramaterial 0.1.2

Software toolkit for parameterising materials test data. Easily batch process experimental measurements to determine mechanical properties and material model parameters.

About

A Python package for parameterizing materials test data. Given a set of experimental measurements, Paramaterial can be used to determine material properties and constitutive model parameters.

• Source Code: https://github.com/dan-slater/paramaterial

• Documentation: https://dan-slater.github.io/paramaterial/

• PyPI: https://pypi.org/project/paramaterial/

• Examples: https://github.com/dan-slater/paramaterial-examples

The package was designed to help improve the quality and quantity of data available for materials modeling and simulation. It is hoped that using Paramaterial will help improve repeatability and reproducibility of materials test data analyses, and help to reduce the time and effort required to perform such analyses.

Installation

pip install paramaterial

Usage

Please see the API reference for details on the toolkit's functions and classes.

Usage examples are available in the examples repository. These examples can be downloaded using the download_example function:

# Download the basic usage example to the current directory
from paramaterial import download_example
download_example('dan_msc_basic_usage_0.1.0')
# Other examples are also currently available:
# download_example('dan_msc_cs1_0.1.0')
# download_example('dan_msc_cs2_0.1.0')
# download_example('dan_msc_cs3_0.1.0')
# download_example('dan_msc_cs4_0.1.0')

The examples include datasets, notebooks, and other assets that showcase the functionality and capabilities of the Paramaterial library. These examples can be downloaded and run locally, providing an interactive way to explore and learn about the library. For more details see the documentation for the download_example function at reference/example.

Contributing

Please go to the GitHub repository and submit an issue or pull request.

License

Paramaterial is licensed under the MIT license.