rAKA/517d428bac6cfeatures/52-anisotropic…
features/52-anisotropic-and-at1-phase-field-models vs master
Commit | Author | Details | Committed | ||||
---|---|---|---|---|---|---|---|
1d552486a21b | richart | Bug fix + code improvement in the fragment generation algorithm | Apr 11 | ||||
b63375982007 | saduruss | fix in cluster sync and damage communication | Apr 9 | ||||
d3dab749aa6b | saduruss | fix in previous damage | Mar 21 | ||||
872c815f56de | saduruss | debug parallel | Mar 13 | ||||
7852c459fe35 | saduruss | debug parallel | Mar 13 | ||||
e5ff86522ac3 | saduruss | addition of recovery constraint | Mar 5 | ||||
087b065bf38d | saduruss | move energy split in separate class | Mar 1 | ||||
fa200188d940 | saduruss | error in energy computation | Feb 28 | ||||
0e97c45ca7ca | saduruss | error in tangent | Feb 20 | ||||
82babf607b78 | saduruss | add save in python | Jan 25 |
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README.md
Akantu: Swiss-Made Open-Source Finite-Element Library
Akantu means a little element in Kinyarwanda, a Bantu language. From now on it is also an open- source object-oriented library which has the ambi- tion to be generic and efficient.
Building Akantu
Dependencies
In order to compile Akantu any compiler supporting fully C++14 should work. In addition some libraries are required:
- CMake (>= 3.5.1)
- Boost (preprocessor and Spirit)
- zlib
- blas/lapack
For the python interface:
- Python (>=3 is recommended)
- pybind11 (if not present the build system will try to download it)
To run parallel simulations:
- MPI
- Scotch
To use the static or implicit dynamic solvers at least one of the following libraries is needed:
- MUMPS (since this is usually compiled in static you also need MUMPS dependencies)
- PETSc
To compile the tests and examples:
- Gmsh
- google-test (if not present the build system will try to download it)
On .deb based systems
sh > sudo apt install cmake libboost-dev zlib1g-dev liblapack-dev libblas-dev gmsh # For parallel > sudo apt install mpi-default-dev libmumps-dev # For sequential > sudo apt install libmumps-seq-dev
Configuring and compilation
Akantu is a CMake project, so to configure it, you can follow the usual way:
sh > cd akantu > mkdir build > cd build > ccmake .. [ Set the options that you need ] > make > make install
Using the python interface
You can install `Akantu` using pip, this will install a pre-compiled version:
sh > pip install akantu
You can then import the package in a python script as:
python import akantu
The python API is similar to the C++ one. If you encounter any problem with the python interface, you are welcome to do a merge request or post an issue on GitLab.
Tutorials with the python interface
To help getting started, multiple tutorials using the python interface are available as notebooks with pre-installed version of Akantu on Binder. The following tutorials are currently available: