Metadata-Version: 2.1
Name: composipy
Version: 1.0.0
Summary: This package intends to perform composite material calculations
Home-page: https://github.com/rafaelpsilva07/composipy
Author: Rafael Pereira
Author-email: rafaelpsilva07@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE


# Composipy

## What it is

**composipy** is a python library to calculate composite plates using the classical laminate theory. This library is designed to be simple, userfriendly and helpfull.



## How to install

### Directly From PYPI

```shell
pip install composipy
```

### Built from source

```shell
python setup.py install
```


## Documentation

[Composipy documentation](https://rafaelpsilva07.github.io/composipy/)

## Quick start

Create the material.

```python
>>> from composipy import OrthotropicMaterial
>>> 
>>> E1 = 60800
>>> E2 = 58250
>>> v12 = 0.07
>>> G12 = 4550
>>> t = 0.21
>>>
>>> mat_1 = OrthotropicMaterial(E1, E2, v12, G12, t)
```

Define the laminate.

```python
>>> from composipy import LaminateProperty
>>> stacking = [-45, 45, 90, 0, 0, 0, 0, 90, 45, -45]
>>> laminate1 = LaminateProperty(stacking, ply1)
>>> print(laminate1.ABD) # prints the ABD matrix as a np.ndarray
>>> print(laminate1.xiA) # prints lamination parameters of extension as a np.ndarray
>>> print(laminate1.xiD) # prints lamination parameters of bending as a np.ndarray
```

Create a plate structure.

```python
>>> from composipy import PlateStructure
>>> 
>>> constraints = {    
---     x0 = ['TX', 'TY', 'TZ', 'RX', 'RY', 'RZ']
---     xa = ['TX', 'TY', 'TZ', 'RX', 'RY', 'RZ']
---     y0 = ['TX', 'TY', 'TZ', 'RX', 'RY', 'RZ']
---     yb = ['TX', 'TY', 'TZ', 'RX', 'RY', 'RZ']
--- }
>>> panel = PlateStructure(laminate1, 360, 360, m=10, n=10, Nxx=-1, constraints=constraints)
>>> print(panel.buckling_analysis()) # solve the eigenvalue problem.
```


