Computional methods for fiber-reinforced composites
Computational methods for fiber-reinforced composites
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...)
Some notebook examples can be found in
Documentation is available here.
To run the
fiberpy unit tests, check out this repository and type
fiberpy is published under the MIT license.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size fiberpy-0.0.2-py3-none-any.whl (14.4 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size fiberpy-0.0.2.tar.gz (15.0 kB)||File type Source||Python version None||Upload date||Hashes View hashes|