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Calculation of pristine and damaged composite structures

Project description

PyPi doi pipeline status

MCODAC

MCODAC (Modular COmposite Damage Analysis Code) is a Fortran library for the evaluation of pristine and damaged composite structures. In addition to basic mathematical tools for tensor manipulation, it contains multidimensional interpolation methods, numerical optimization routines and common utility algorithms used in continuum mechanics. Furthermore, the library contains analysis methods specifically tailored to composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites. This project is compiled for Python using f2py.

Installation from source requires an active Fortran compiler (ifort, gfortran).

Downloading

Use GIT to get the latest code base. From the command line, use

git clone https://gitlab.com/dlr-sy/mcodac mcodac

If you check out the repository for the first time, you have to initialize all submodule dependencies first. Execute the following from within the repository.

git submodule update --init --recursive

To update all refererenced submodules to the latest production level, use

git submodule foreach --recursive 'git pull origin $(git config -f $toplevel/.gitmodules submodule.$name.branch || echo master)'

Installation

MCODAC can be installed from source using poetry. If you don't have poetry installed, run

pip install poetry --pre --upgrade

to install the latest version of poetry within your python environment. Use

poetry update

to update all dependencies in the lock file or directly execute

poetry install

to install all dependencies from the lock file. Last, you should be able to import MCODAC as a python package.

import mcodac

Example

Please refer to the linked repository for specific application examples.

Contact

Support

Project details


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mcodac-1.2.0-cp311-cp311-win_amd64.whl (2.8 MB view hashes)

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mcodac-1.2.0-cp311-cp311-musllinux_1_2_x86_64.whl (6.8 MB view hashes)

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mcodac-1.2.0-cp311-cp311-manylinux_2_28_x86_64.whl (7.5 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp311-cp311-manylinux_2_24_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp310-cp310-win_amd64.whl (2.8 MB view hashes)

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mcodac-1.2.0-cp310-cp310-musllinux_1_2_x86_64.whl (6.7 MB view hashes)

Uploaded CPython 3.10 musllinux: musl 1.2+ x86-64

mcodac-1.2.0-cp310-cp310-manylinux_2_28_x86_64.whl (7.5 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp310-cp310-manylinux_2_24_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp39-cp39-win_amd64.whl (2.8 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

mcodac-1.2.0-cp39-cp39-musllinux_1_2_x86_64.whl (6.7 MB view hashes)

Uploaded CPython 3.9 musllinux: musl 1.2+ x86-64

mcodac-1.2.0-cp39-cp39-manylinux_2_28_x86_64.whl (7.5 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp39-cp39-manylinux_2_24_x86_64.whl (6.7 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp38-cp38-win_amd64.whl (2.8 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

mcodac-1.2.0-cp38-cp38-manylinux_2_28_x86_64.whl (7.5 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp38-cp38-manylinux_2_24_x86_64.whl (6.7 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.1 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp37-cp37m-win_amd64.whl (2.8 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

mcodac-1.2.0-cp37-cp37m-musllinux_1_2_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.7m musllinux: musl 1.2+ x86-64

mcodac-1.2.0-cp37-cp37m-manylinux_2_28_x86_64.whl (7.4 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp37-cp37m-manylinux_2_24_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp36-cp36m-win_amd64.whl (2.8 MB view hashes)

Uploaded CPython 3.6m Windows x86-64

mcodac-1.2.0-cp36-cp36m-musllinux_1_2_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.6m musllinux: musl 1.2+ x86-64

mcodac-1.2.0-cp36-cp36m-manylinux_2_28_x86_64.whl (7.3 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.28+ x86-64

mcodac-1.2.0-cp36-cp36m-manylinux_2_24_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.24+ x86-64

mcodac-1.2.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.0 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp35-cp35m-win_amd64.whl (2.7 MB view hashes)

Uploaded CPython 3.5m Windows x86-64

mcodac-1.2.0-cp35-cp35m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB view hashes)

Uploaded CPython 3.5m manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp35-cp35m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.2 MB view hashes)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

mcodac-1.2.0-cp27-cp27m-win_amd64.whl (2.7 MB view hashes)

Uploaded CPython 2.7m Windows x86-64

mcodac-1.2.0-cp27-cp27m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.6 MB view hashes)

Uploaded CPython 2.7m manylinux: glibc 2.17+ x86-64

mcodac-1.2.0-cp27-cp27m-manylinux_2_12_x86_64.whl (3.6 kB view hashes)

Uploaded CPython 2.7m manylinux: glibc 2.12+ x86-64

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