This Project aims on creating an elastoplastic behavior using machine learning methods. First a 1D model is created using constitutive equations and used as dataset. After that, the 2D model is generated and also used for dataset, but then it is tested in the well known Abaqus, a software suite for finite element analysis and computer-aided engineering. The final stage of this project is using an experimental dataset provided by my university to train models.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Things you need to install if you already haven't:
Scikit-Learn
Scipy
Pandas
Matplotlib
A step by step series of examples that tell you have to get a development env running
Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
Explain how to run the automated tests for this system
Explain what these tests test and why
Give an example
Explain what these tests test and why
Give an example
Add additional notes about how to deploy this on a live system
- Dropwizard - The web framework used
- Maven - Dependency Management
- ROME - Used to generate RSS Feeds
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
We use SemVer for versioning. For the versions available, see the tags on this repository.
- Billie Thompson - Initial work - PurpleBooth
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE.md file for details
- Hat tip to anyone who's code was used
- Inspiration
- etc