https://github.com/mdolab/dafoam

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
https://github.com/mdolab/dafoam

adjoint aerodynamics cfd design-optimization heat-transfer mdo open-source openfoam

Last synced: about 1 month ago
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DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

• Host: GitHub
• URL: https://github.com/mdolab/dafoam
• Owner: mdolab
• License: other
• Created: 2019-05-11T03:44:21.000Z (almost 6 years ago)
• Default Branch: main
• Last Pushed: 2024-04-12T15:57:43.000Z (about 1 year ago)
• Last Synced: 2024-04-12T23:10:03.161Z (about 1 year ago)
• Topics: adjoint, aerodynamics, cfd, design-optimization, heat-transfer, mdo, open-source, openfoam
• Language: C
• Homepage: https://dafoam.github.io
• Size: 9.68 MB
• Stars: 185
• Watchers: 9
• Forks: 83
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md
  • Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

• awesome-fluid-dynamics - mdolab/dafoam - DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Gradient-based Design Optimization.   (Computational Fluid Dynamics / Design and Optimization)

README

        
DAFoam: Discrete Adjoint with OpenFOAM

======================================

[![tests](https://github.com/mdolab/dafoam/actions/workflows/reg_tests.yml/badge.svg)](https://github.com/mdolab/dafoam/actions/workflows/reg_tests.yml) [![codecov](https://codecov.io/gh/mdolab/dafoam/branch/main/graph/badge.svg?token=8F8E7FAFGA)](https://codecov.io/gh/mdolab/dafoam)

DAFoam develops an efficient discrete adjoint method to perform high-fidelity multidisciplinary design optimization. DAFoam has the following features:

- It uses a popular open-source package [OpenFOAM](https://www.openfoam.com) for multiphysics analysis.

- It implements a [Jacobian-free discrete adjoint](https://www.sciencedirect.com/science/article/abs/pii/S0376042119300120) approach with competitive speed, scalability, and accuracy.

- It has a convenient Python interface to couple with [OpenMDAO](https://openmdao.org) for multidisciplinary design optimization.

![](cover.png)

Documentation

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Refer to https://dafoam.github.io for installation, documentation, and tutorials.

Citation

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Please cite the following papers in any publication for which you find DAFoam useful. 

- Ping He, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. DAFoam: An open-source adjoint framework for multidisciplinary design optimization with OpenFOAM. AIAA Journal, 58:1304-1319, 2020. https://doi.org/10.2514/1.J058853

- Ping He, Charles A. Mader, Joaquim R.R.A. Martins, Kevin J. Maki. An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM. Computer & Fluids, 168:285-303, 2018. https://doi.org/10.1016/j.compfluid.2018.04.012

License

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Copyright 2019 MDO Lab

Distributed using the GNU General Public License (GPL), version 3; see the LICENSE file for details.