Superposition effect

Here are the full steps of what I did:

  1. Add PassArrays to both A and B inputs and remove all the arrays except for von Mises Stress. This is optional, but made things a little easier later.
  2. Add RenameArrays to both A and B pipelines to rename the fields to A von Mises Stress and B von Mises Stress, respectively. This makes it possible to differentiate the two arrays as we start combining the fields into one mesh.
  3. Add the Resample With Dataset filter. Set the Source Data Arrays input to the A pipeline and the Destination Mesh to the B pipeline. I chose the B pipeline for the destination mesh because there are small parts of the A mesh outside of the B mesh, so the resample worked better to apply to the B mesh.
  4. The result of Resample With Dataset now has A von Mises Stress on the B mesh. To get the B fields back, select both the ResampleWithDataset and the RenameArrays for the B pipeline in the pipeline browser and add the Append Attributes filter. This will combine both fields into a single mesh, which is the whole point of this exercise.
  5. Add the Calculator filter to AppendAttributes. To get the max stress, set the expression to max("A von Mises Stress", "B von Mises Stress"). To get the sum, set the expression to "A von Mises Stress" + "B von Mises Stress".
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