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lamipy

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Composite laminates engineering simulations in Python.

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# lamipy
Laminated composites engineering simulations in Python.

## Brief description:

This project's purpose is to provide simple & accurate computations for engineering simulations of **fiber-reinforced composites**. This kind of advanced material is used in many areas of engineering: spacecrafts, pressure vessels, risers etc. Basically, the idea behind composite laminates is to produce a component which has the required engineering properties (high elastic modulus, low self-weight and others) through stacking many layers of laminae, in such way that each one can be layed in different fiber angles and can consist of different materials.

Therefore, a composite laminate consists of a material resultant of layers (laminae) bonded together. In this program, the layers are considered continuous and *orthotropic*. It is possible to input different properties for each used material in the layers.

The implementation uses the **Classical Laminate Theory (CLT)** for computations. 
The summary of this theory can be found in: [NASA's Basic Mechanics of Laminated Composite Plates](https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19950009349.pdf), [Prof. W. Stein's document](http://wstein.org/edu/2010/480b/projects/05-lamination_theory/A%20summary%20of%20Classical%20Lamination%20Theory.pdf) and other sources.

Currently lamipy is *not ready for use* due to the lack of verification and validation tests, which will be produced soon.

## Project goals:

- Provide a simple interface for laminate testing;
- Display accurate information of results, including graphical analysis;

## Technical features:
- [x] Calculates CLT stresses & strains (lamina & laminate coord. systems);
- [x] Failure tests for individual laminas (Tsai-Wu, Max. Stress, Max Strain and Hashin criteria);
- [x] Progressive failure analysis using *Ply Discount* method;
- [x] Plotting of progressive failure analysis;
- [ ] Easy entry of laminate data;
- [ ] Puck failure criteria;
- [x] Thermal & moisture effects on CLT calculations;
- [ ] Laminate materials simple database
- [ ] ...

## How to use:

Currently, *lamipy* is **not ready for general usage**. If you want to test the code, here are the steps:

*Note: using lamipy requires a python3 environment for executing the **runfailuretest.py** file. It is also required **numpy** and **matplotlib** libraries (both of which are easily encountered in many python distributions).*
1. Clone this repository;
1. Edit runfailuretest.py to input the laminate data;
1. Execute.

## Understanding lamipy:

As previously stated, *lamipy* works through the CLT computations. This way, the user input consists of the material properties, layup configurations, force vectors and other settings.

Below is a summary of the data flow inside lamipy for a *simple analysis* (i.e. not a *progressive failure analysis*).
<img src="docs/dataflow.PNG" data-canonical-src="docs/dataflow.PNG" />

### Example results:
Through the obtained results from an analysis, it is possible to plot charts for better visualisation:
<img src="docs/example_plot1.png" data-canonical-src="docs/example_plot1.png" />
<img src="docs/example_plot2.png" data-canonical-src="docs/example_plot2.png" />
<img src="docs/example_plot3.png" data-canonical-src="docs/example_plot3.png" />

Also, since lamipy is capable of running a *progressive failure analysis*, it is possible to automatically plot the Load Factor vs. Average Strain of the laminate while directly pointing *First Ply Failure* and *Last Ply Failure*:
<img src="docs/example_plot4.png" data-canonical-src="docs/example_plot4.png" />

lamipy

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