  Understanding the microstructural influence on the failure mechanisms in
multi-phase materials calls for the identification of the worst-case scenario.
This necessitates a statistical approach. By performing simulations directly
based on micrographs, such an approach becomes feasible. This is applied here
to extract the average microstructure around damage sites.
