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# DART
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# DART
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DARTFlo (Discrete Adjoint for Rapid Transonic Flows, abbreviated as DART) is an open-source C++/python, unstructured finite-element, full potential solver, developed at the University of Liège by Adrien Crovato with the active collaboration of Romain Boman, and under the supervision of Vincent Terrapon and Grigorios Dimitriadis, during the academic years 2018-2022.
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DARTFlo (Discrete Adjoint for Rapid Transonic Flows, abbreviated as DART) is an open-source C++/Python, unstructured finite-element, full potential solver, developed at the University of Liège by Adrien Crovato with the active collaboration of Romain Boman, and under the supervision of Vincent Terrapon and Grigorios Dimitriadis, during the academic years 2018-2022.
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DART is currently capable of rapidly solving steady transonic flows on arbitrary configurations, ranging from 2D airfoils to 3D full aircraft (without engine), as well as calculating the flow gradients using a discrete adjoint method. Furthemore, the code is interfaced with [CUPyDO](https://github.com/ulgltas/CUPyDO) and [openMDAO](https://openmdao.org/) so that aeroelastic computations and optimization can be easily carried out.
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DART is currently capable of rapidly solving steady transonic flows on arbitrary configurations, ranging from 2D airfoils to 3D full aircraft (without engine), as well as calculating the flow gradients using a discrete adjoint method. Furthemore, the code is interfaced with [CUPyDO](https://github.com/ulgltas/CUPyDO) and [OpenMDAO](https://openmdao.org/) so that aeroelastic analysis and optimization computations can be carried out easily.
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This wiki contains the following documentation:
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This wiki contains the following documentation:
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- [build](build) instructions
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- [build](build) instructions
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... | @@ -11,7 +11,7 @@ Additionally, the documentation for developers can be built using doxygen. The m |
... | @@ -11,7 +11,7 @@ Additionally, the documentation for developers can be built using doxygen. The m |
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## Features and limitations (dart v1.1.0, September 2021)
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## Features and limitations (dart v1.2.0, October 2022)
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* Geometry
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* Geometry
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- 2D
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- 2D
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- [x] airfoils
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- [x] airfoils
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... | @@ -19,28 +19,27 @@ Additionally, the documentation for developers can be built using doxygen. The m |
... | @@ -19,28 +19,27 @@ Additionally, the documentation for developers can be built using doxygen. The m |
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- [x] multi-isolated lifting surface (e.g. wing/tail configuration)
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- [x] multi-isolated lifting surface (e.g. wing/tail configuration)
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- [x] wing/fuselage/tail configuration
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- [x] wing/fuselage/tail configuration
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- Interface
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- Interface
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- [x] [geoGen](https://github.com/acrovato/geoGen/)
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- [x] [GmshCFD](https://github.com/acrovato/gmshcfd/)
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* Mesh
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* Mesh
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- [gmsh](http://gmsh.info/) native format
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- [Gmsh](http://gmsh.info/) native format
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- [x] 2D with Line2 and Tri3 elements
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- [x] 2D with Line2 and Tri3 elements
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- [x] 3D with Tri3 and Tetra4 elements
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- [x] 3D with Tri3 and Tetra4 elements
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* Physical model
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* Physical model
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- Time
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- Time
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- [x] steady
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- [x] steady
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- [ ] unsteady
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- Compressibility
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- Compressibility
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- [x] subsonic freestream
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- [x] subsonic freestream
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- [x] weak shockwaves
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- [x] weak shockwaves
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- Viscosity
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- Viscosity
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- [x] inviscid
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- [x] inviscid
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- [x] viscous-inviscid interaction (only 2D)
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- [x] viscous-inviscid interaction (see [BLASTER](https://gitlab.uliege.be/am-dept/blaster))
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* Numerical methods
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* Numerical methods
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- Problem
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- Problem
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- [x] direct (i.e. forward)
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- [x] direct (i.e. forward)
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- [x] adjoint (i.e. backward)
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- [x] adjoint (i.e. backward)
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- Outer solver
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- Outer solver
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- [x] Picard
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- [x] Picard
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- [x] Newton-Raphson with analytical tangent matrix and Bank&Rose line search
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- [x] Newton-Raphson with analytical tangent matrix and Bank & Rose line search
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- Inner solver
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- Inner solver
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- [x] Intel's MKL Pardiso
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- [x] Intel's MKL Pardiso
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- [x] Eigen's GMRES
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- [x] Eigen's GMRES
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... | @@ -52,11 +51,11 @@ Additionally, the documentation for developers can be built using doxygen. The m |
... | @@ -52,11 +51,11 @@ Additionally, the documentation for developers can be built using doxygen. The m |
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- [x] adaptive
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- [x] adaptive
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* Post-processing
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* Post-processing
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- Data extracted at nodes
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- Data extracted at nodes
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- [x] readily available in python
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- [x] readily available in Python
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- [x] savable to disk
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- [x] savable to disk
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- Volume data
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- Volume data
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- [x] gmsh
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- [x] Gmsh
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- [x] [vtk](https://vtk.org)
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- [x] [VTK](https://vtk.org)
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- Boundary data
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- Boundary data
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- [x] ascii
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- [x] ascii
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* Aeroelastic capability
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* Aeroelastic capability
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... | @@ -64,12 +63,10 @@ Additionally, the documentation for developers can be built using doxygen. The m |
... | @@ -64,12 +63,10 @@ Additionally, the documentation for developers can be built using doxygen. The m |
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- [x] linear elasticity equations
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- [x] linear elasticity equations
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- Interface
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- Interface
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- [x] [CUPyDO](https://github.com/ulgltas/CUPyDO)
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- [x] [CUPyDO](https://github.com/ulgltas/CUPyDO)
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- [x] [openMDAO](https://openmdao.org/)
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- [x] [OpenMDAO](https://openmdao.org/)/[MPhys](https://github.com/OpenMDAO/mphys)
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## Envisioned developments
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## Envisioned developments
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* Addition of [CPACS](https://cpacs.de/) or [OpenVSP](http://openvsp.org/) to gmsh geometry interface
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* Addition of [ESP/CAPS](https://acdl.mit.edu/ESP) interface
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* Extension to unsteady flow with linear harmonic perturbations methods
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* Extension of viscous-inviscid interaction to 3D transonic flows
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## References
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## References
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* Crovato Adrien, [DARTFlo - Discrete Adjoint for Rapid Transonic Flows](https://hdl.handle.net/2268/264284), Technical note, University of Liège, 2021.
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* Crovato Adrien, [DARTFlo - Discrete Adjoint for Rapid Transonic Flows](https://hdl.handle.net/2268/264284), Technical note, University of Liège, 2021.
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