Analysis results from the final iteration of a topology optimization are inaccurate due to the penalization factor applied during the optimization process. In order to get unpenalized analysis results for the optimized topology, it is possible to restart the optimization (following convergence) with a re-analysis parameter.
The re-analysis parameter can be deactivated either by adding PARAM, REANAL to the bulk data section of the input deck, or by adding the run option -reanal on the command line.
If the density threshold value provided for the re-analysis parameter is less than the value of MINDENS (default = 0.01) used in the optimization, all elements will be assigned the densities they had for the final iteration of the optimization. As there is no penalization, stiffness will now be proportional to density.
If the density threshold value provided is greater than the value of MINDENS used in the optimization, those elements whose density is less than the given value will have density equal to MINDENS, all others will have a density of 1.0.