Giter Site home page Giter Site logo

nagelt / hyperplasticity Goto Github PK

View Code? Open in Web Editor NEW

This project forked from wbeuckelaers/hyperplasticity

0.0 0.0 0.0 785 KB

This project provides numerical implementations of models derived in the hyperplasticity framework

Python 0.93% Jupyter Notebook 99.07%

hyperplasticity's Introduction

hyperplasticity

This project provides numerical implementations of models derived in the hyperplasticity framework. The models are largely based on the hyperplasticity course from G.T. Houlsby (https://hyperplasticity.wordpress.com/) and the book Principles of Hyperplasticity by G.T. Houlsby and A.M. Puzrin (2006).

The table below gives an overview of the content in this project with links to the slide numbers of the hyperplasticity course and to chapter numbers in the book.

Model Github repository location Lecture slide number Book chapter number
1D Perfect plasticity 1-1 7-3 5.2.1
1D Isotropic hardening 1-2 7-4 5.4.2
1D Kinematic hardening 1-3 7-4 5.4.3
1D Multisuface plasticity - series 1-4 or 1-7-1 11-3 7.4
1D Multisuface plasticity - parallel 1-7-3 11-6 8.4
1D Rate-dependent perfect plasticity 1-5 14-6 11.2.1
1D Rate-dependent multisurface plasticity - series 1-7-2 14-7 11.3
1D Rate-dependent multisurface plasticity - parallel 1-7-4 14-8 -
1D Rate process theory 1-6 14-10 11.2.3
1D Ratcheting - series - rate independent 1-8-1 23-8 -
1D Ratcheting - series - rate dependent 1-8-2 23-8 -
1D Ratcheting - parallel - rate independent 1-8-3 23-9 -
1D Ratcheting - parallel - rate dependent 1-8-4 23-9 -
Modified Cam-Clay 2-1 13-3 10.1.1
2D Frictional soil 3-1 12-2 5.3.1
Von Mises Elastoplasticity 4-1 7-5 5.2.2

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. The code is written in python and also using Jupyter notebooks

Prerequisites

Python and Jupyter are prerequisites for running and editing the code. We strongly recommend following the instructions in the link below for the installation.

http://jupyter.org/install

Running and editing the code

Once Python and Jupyter are set up on your computer, you can run and edit the coded examples. For instructions, follow the link below:

https://jupyter.readthedocs.io/en/latest/running.html#running

Contributing

Please send an email to wbeuckelaers [at] live.be for instructions to contribute to this project.

Authors

  • William J.A.P. Beuckelaers

hyperplasticity's People

Contributors

wbeuckelaers avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.