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ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.

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ADflow

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ADflow is a flow solver developed by the MDO Lab at the University of Michigan. It solves the compressible Euler, laminar Navier–Stokes and Reynolds-averaged Navier–Stokes equations using structured multi-block and overset meshes. ADflow's features include the following:

  • Discrete adjoint implementation
  • "Complexified" code for complex-step derivative verification
  • Massively parallel (both CPU and memory scalable) implementation using MPI

ADflow has been used in aerodynamic, aerostructural, and aeropropulsive design optimization of aircraft configurations. Furthermore, we used ADflow to perform design optimization of hydrofoils and wind turbines.

Documentation

Please see the documentation for installation details and API documentation.

To locally build the documentation, enter the doc folder and enter make html in terminal. You can then view the built documentation in the _build folder.

Citing ADflow

If you use ADflow, please see this page for citation information.

License

Copyright 2019 MDO Lab

Distributed using the GNU Lesser General Public License (LGPL), verstion 2.1; see the LICENSE file for details.

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ADflow is a finite volume RANS solver tailored for gradient-based aerodynamic design optimization.

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  • Python 4.5%
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