diff --git a/README.md b/README.md index fef08e753d536da4f0f7059c2c743e040f911d3f..ba0dab60cd311826e96aa7a33555d1808cf10357 100644 --- a/README.md +++ b/README.md @@ -1,30 +1,10 @@ -# waves -Waves is a collection of general utilities and finite element tools for solving various PDE. The code is written in C++ interfaced in python through SWIG, and is developed at the University of Liège. +# Katoptron - +Themomechanical Finite Element solver based on [Trilinos](https://trilinos.github.io/) from Kim Liegeois's Phd thesis. -## Features -Set of python/C++ modules: - - [katoptron](/katoptron): 3D(Hex8 and Tetra4) linear thermomechanical equations with contact (FEM) - - [tlnos](/tlnos): basic Trilinos examples +This code was previously part of [waves](https://gitlab.uliege.be/am-dept/waves). -Additional features: - - [x] [Gmsh](http://geuz.org/gmsh/) support for mesh and post-processing - - [x] [VTK](http://www.vtk.org/)/[PyQt](https://riverbankcomputing.com/software/pyqt/intro) support for post processing and basic GUI - - [x] [OpenBLAS](http://www.openblas.net/) or [Intel MKL](https://software.intel.com/en-us/intel-mkl) support - - [x] [Eigen3](http://eigen.tuxfamily.org/index.php?title=Main_Page) support for linear algebra - - [Intel Pardiso](https://software.intel.com/content/www/us/en/develop/documentation/mkl-developer-reference-c/top/sparse-solver-routines/intel-mkl-pardiso-parallel-direct-sparse-solver-interface/pardiso.html) support - - [MUMPS](http://mumps.enseeiht.fr/) support - - [x] [TBB](https://www.threadingbuildingblocks.org/) support for multithreading - - [x] [mpi4py](https://bitbucket.org/mpi4py/mpi4py) support for parallelization - - [x] [Trilinos](https://trilinos.github.io/) support (for some modules) - -## Build - -Detailed build instructions can be found in the [wiki](https://gitlab.uliege.be/am-dept/waves/wikis/home). - -## References - -Liegeois Kim, [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models with application to the thermomechanical simulation of an ITER front mirror](http://hdl.handle.net/2268/249334), University of Liège, 2020. +### References +Liegeois K., [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models with application to the thermomechanical simulation of an ITER front mirror](http://hdl.handle.net/2268/249334), University of Liège, 2020. Liegeois K., Boman R., Phipps E., Wiesner T., and Arnst M., [GMRES with embedded ensemble propagation for the efficient solution of parametric linear systems in uncertainty quantification of computational models](http://hdl.handle.net/2268/248201), Computer Methods in Applied Mechanics and Engineering, Vol. 369, 2020.