Skip to content
Snippets Groups Projects
Commit 53970223 authored by Adrien Crovato's avatar Adrien Crovato
Browse files

update readme

parent 48b4d61a
No related branches found
No related tags found
1 merge request!3Version 1.2
Pipeline #49571 passed with warnings
# SDPM
SDPM is an open-source C++/Python, unsteady compressible source and doublet panel method, developed at the University of Liège by Adrien Crovato and Grigorios Dimitriadis, during the academic years 2022-2023.
SDPM is currently capable of rapidly solving steady or unsteady compressible subsonic flows on isolated or multiple wings.
SDPM is an open-source C++/Python, unsteady compressible source and doublet panel method, developed at the University of Liège by Adrien Crovato and Grigorios Dimitriadis, during the academic years 2022-2024.
SDPM is currently capable of rapidly solving steady or unsteady compressible subsonic flows on isolated or multiple wings, as well as calculating the aerodynamic forces gradients. Furthemore, the code is interfaced with [OpenMDAO](https://openmdao.org/) so that aeroelastic computations and optimization can be easily carried out.
## Main features
* Cross platform (Windows and Unix) C++/Python code
* Physical model
- unstructured quadrangle meshes for 2D geometries using [gmsh](https://gmsh.info/)
- unstructured quadrangle meshes for 3D geometries using [Gmsh](https://gmsh.info/)
- steady and unsteady flows
- subsonic compressile flows
- subsonic compressile flows with transonic correction
* Numerical methods
- linear algrebra using [Eigen](http://eigen.tuxfamily.org/)
- reverse automatic differentiation using [CoDiPack](https://github.com/SciCompKL/CoDiPack)
## Documentation
Detailed build and use instructions can be found in the [wiki](https://gitlab.uliege.be/am-dept/sdpm/wikis/home).
## References
Crovato Adrien, [SDPM - Source and Doublet Panel Method](https://hdl.handle.net/2268/324280), Technical note, University of Liège, 2024.
Sanchez Martinez Mariano and Dimitriadis Grigorios, [Subsonic source and doublet panel methods](https://hdl.handle.net/2268/291174), Journal of Fluids and Structures, 2022.
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment