| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1573177 | Materials Science and Engineering: A | 2016 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Materials Science
Materials Science (General)
Authors
T.W.J. de Geus, J.E.P. van Duuren, R.H.J. Peerlings, M.G.D. Geers,