Metadata-Version: 2.1
Name: fiberpy
Version: 0.0.3
Summary: Computional methods for fiber-reinforced composites
Home-page: https://github.com/tianyikillua/fiberpy
Author: Tianyi Li
Author-email: tianyikillua@gmail.com
License: License :: OSI Approved :: MIT License
Description: # Computational methods for fiber-reinforced composites
        
        [![travis](https://img.shields.io/travis/tianyikillua/fiberpy.svg?style=flat-square)](https://travis-ci.org/tianyikillua/fiberpy)
        [![codecov](https://img.shields.io/codecov/c/github/tianyikillua/fiberpy.svg?style=flat-square)](https://codecov.io/gh/tianyikillua/fiberpy)
        [![readthedocs](https://readthedocs.org/projects/fiberpy/badge/?version=latest&style=flat-square)](https://readthedocs.org/projects/fiberpy/?badge=latest)
        [![pypi](https://img.shields.io/pypi/v/fiberpy.svg?style=flat-square)](https://pypi.org/project/fiberpy)
        
        This package provides several computational models for fiber-reinforced composites (thermoplastics reiforced by glass fibers, for instance).
        
        - Compute the 4th-order fiber orientation tensor from the 2nd-order one (linear, quadratic, hybrid, orthotropic closure models...)
        - Compute the effective thermomechanical properties from the microstructure definition (Mori-Tanaka, orientation averaging...)
        - Compute fiber orientation tensor evolution using the Folgar-Tucker model or its variants (RSC model...)
        
        <p align="center">
          <img src="https://user-images.githubusercontent.com/4027283/60251521-f4d52000-98c8-11e9-804e-e3a1d031286d.png" width="800">
        </p>
        
        Some notebook examples can be found in `examples`.
        
        Documentation is available [here](https://fiberpy.readthedocs.io).
        
        ### Installation
        
        To install `fiberpy`, you are invited to use `pip` and its associated options
        ```
        pip install -U fiberpy
        ```
        
        ### Testing
        
        To run the `fiberpy` unit tests, check out this repository and type
        ```
        pytest
        ```
        
        ### License
        
        `fiberpy` is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
