DAKOTA-OpenFOAM code coupling and optimization example | The blunt body shape optimization case
Coupling DAKOTA with OpenFOAM š„ø Way back when Dakota 6.19.0 and OpenFOAM 11 were a thing š This is a more advanced case, where we go into more detail about implementing more elaborated engineering design loops using DAKOTA and different optimization techniques. In this demo case, we use the following tools: Geometry generation: Salome. Mesh generation: Salome. Balck box solver: OpenFOAM 11. Automatic post-processing: bash scripting and Python. Plotting: Python. In this case, we aim to optimize the shape of a blunt body. The goal is to minimize the drag coefficient. The Reynolds number is 1000, and depending on the body's shape, the flow might exhibit a strong, unsteady behavior. The body is fully parametrized using Bezier curves with four control points, four linear, and one nonlinear constraint. We will use all the optimization methods: monolithic gradient-based, design space exploration, SBO, and adjoint. š¤ DAKOTA optimization toolbox https://dakota.sandia.gov/ In this video we use DAKOTA 6.19.0 00:00 The blunt body shape optimization case - Introduction 02:38 Optimization loop 03:16 Gradient-based optimization 05:00 Design space exploration 09:20 Surrogate-based optimization | AI/ML 11:42 Warning: do not use biased data to construct models 12:15 Adjoint optimization 16:05 Final remarks - Main takeaways Blunt body shape optimization | Deck of slides https://bit.ly/486DxrG DAKOTA optimization toolbox | Explore and predict with confidence - YouTube playlist including installation instructions Ā Ā Ā ā¢Ā DAKOTAĀ optimizationĀ toolboxĀ |Ā Installation...Ā Ā Transitioning to OpenFOAM 11 from OpenFOAM 10/9 - YouTube playlist Ā Ā Ā ā¢Ā TransitioningĀ toĀ OpenFOAMĀ 11Ā fromĀ OpenFOAM...Ā Ā Software links: https://dakota.sandia.gov/ https://snl-dakota.github.io/ https://github.com/snl-dakota/dakota/... https://xgboost.ai/ https://www.salome-platform.org/ https://openfoam.org/ https://learn.microsoft.com/en-us/win... Excellent reference for optimization methods, https://www.vrand.com/products/multid... **************************************************************************** š Subscribe and hit the bell to see new videos: Ā Ā Ā /Ā @wolfdynamicscfdĀ Ā š Join our channel to help us create more content. By joining our channel, you can also get access to perks: Ā Ā Ā /Ā @wolfdynamicscfdĀ Ā Follow us: Twitter ā twitter.com/WolfDynamics LinkedIn ā linkedin.com/company/wolf-dynamics #optimization #CFD #CAE #aerospace #WSL #linux #openfoam #dakotaopt

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