4D characterisation of void nucleation, void growth and void coalescence using advanced void tracking algorithm on in situ X-ray tomographic data
An advanced tracking algorithm based upon 4D X-ray tomographic data was developed to enable a more robust and full field approach to ductile damage characterisation. By following each individual void, the three ductile damage mechanisms (void nucleation, void growth and void coalescence) could be se...
| Main Authors: | Azman, M.A., Bourlot, C. Le, King, A., Fabrègue, D., Maire, E. |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2022
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/100060/ |
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