The optimization calculates the von Mises stress and shows these stress values in the postprocessing.
The stress goal is dependent on the resolution levels. The optimization runs on different resolution levels and switches between them to achieve the best results. The first iterations are calculated on a coarse resolution level. With rising number of iterations, the resolution gets finer. This means that the first iterations calculate much faster than the last iterations but aren’t as detailed as the last. With the increasing resolution, the size of the output data, the calculation time as well as the surface quality increase.
For each resolution level a different stress percent goal is defined which is dependent on the stress goal set for the optimization. On the lower resolution levels the stress goal varies on purpose from the requested stress goal to realize a fast design generation. On the highest resolution level, the requested stress goal reaches 100% an thus satisfies the defined stress goal as the geometry allows it.
In one optimization several Events (load cases) can be considered. Each Event is calculated by itself and the stresses of all Events are superimposed (overlaid).
The stress calculation is from an FE point of view an estimation. That’s why we recommend a FE reanalysis using Apex Structures/Nastran to verify the results regarding all boundary conditions. For the reanlysis the intersected model should be used which will be manufactured. The reanalysis can also take dynamic loading & other boundary conditions into consideration. For more information regarding intersection have a look here.