Computional methods for fiber-reinforced composites
Project description
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 examples.
Documentation is available here.
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fiberpy-0.1.0.tar.gz
(20.2 kB
view details)
Built Distribution
fiberpy-0.1.0-py3-none-any.whl
(19.6 kB
view details)
File details
Details for the file fiberpy-0.1.0.tar.gz.
File metadata
- Download URL: fiberpy-0.1.0.tar.gz
- Upload date:
- Size: 20.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 109992e6a84213f53d5c9541982264e5fffec638f76e23357ef86f6a55caa8a4 |
|
| MD5 | 761c99ad45b8a036d0ebe4c413737291 |
|
| BLAKE2b-256 | bf0f596411a86ed382a7d447851246f3d5b567f5be3c6b65d792532c13418488 |
File details
Details for the file fiberpy-0.1.0-py3-none-any.whl.
File metadata
- Download URL: fiberpy-0.1.0-py3-none-any.whl
- Upload date:
- Size: 19.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.37.0 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 208f460cc529f67f1570ea5064e1d501f91f0614dd684a47c4ffec55194ec6f9 |
|
| MD5 | 04ee92e184c764b5dcbf704e422c01c2 |
|
| BLAKE2b-256 | 98484dd5b7e71c7dae6aa5546b6c0449e78fcf0d3f1fa6e7d4afbfb8f0720970 |
