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Shape optimization of a PitzDaily case

This example originates from a ML/OpenFOAM Hackathon challenge. Head to the OFMLHackathon folder for a more detailed overview.

The study was performed on a SLURM cluster powered by AWS.

Prerequisites

  • You need the foamBO: pip install foamBO
  • You need an OpenFOAM version. Set FOAMBO_OPENFOAM to its installation folder. ${FOAMBO_OPENFOAM}/etc/bashrc will be sourced in cases' Allrun.
  • A SLURM cluster (See multi-objective opt. tutorial for an example cluster)
  • Mesh parametrization is done through a OpenSCAD -> cfMesh -> ParaView workflow.

While OpenSCAD is fine for most purposes, I found out later that madcad is a better fit for this type of needs because it can export 2D surfaces.

PitzDaily with varying lowerWall geometry

The config.yaml file shows how to setup the pitzDaily for shape optimization using SAASBO. This simply parameterizes the lower wall of the geometry as a cubic Bezier curve with 8 control points, whose coordinates are used as optimization parameters.

Using SAASBO specifically was done merely for demonstration purposes. In production runs, SAASBO shouldn't be used unless the problem features a huge search space.

Dependent parameters

The config-dependent.yaml and the corresponding case introduce a parameter for the number of control points, which then the coordinates depend on.

You can run it with:

foamBO --config-name=config-dependent.yaml