In the optimization task editor, click the
Advanced tab.
Specify the Filter Radius of the Sigmund filter,
which smoothes the resulting optimization solution. Changing this value may
help you to avoid known problems from fluctuations in sensitivity values. The
following options allow you to specify the filter radius for a general bead
optimization:
- Relative to average edge
length
-
Enter the relative filter radius.
Abaqus/CAE
computes the filter radius as the value specified multiplied by the average
element length in the design area (the region that will be optimized). The
default value is four. A value of zero turns off the filter; the resulting bead
optimization may generate an unsmooth result that is numerically optimal but
not a realistic physical solution.
- Absolute
value
-
Enter the absolute value of the radius.
For the sensitivity calculation, choose whether the optimization
should consider only the nodes in the region that will be optimized (default)
or all the nodes in the model.
Enter the Bead perturbation.
Abaqus/CAE
uses this value to compute a semianalytical sensitivity analysis using a finite
difference on the element matrices. The finite difference is computed as the
perturbation value specified multiplied by the average element edge length. The
default value is 0.0001, which is suitable for most bead optimization problems.
|