A robust approach for the determination of Gurson model parameters
Among the most promising models introduced in recent years, with which it is possible to obtain very useful results for a better understanding of the physical phenomena involved in the macroscopic mechanism of crack propagation, the one proposed by Gurson and Tvergaard links the propagation of a c...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2016-07-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | http://www.gruppofrattura.it/pdf/rivista/numero37/numero_37_art_48.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Among the most promising models introduced in recent years, with which it is possible to obtain
very useful results for a better understanding of the physical phenomena involved in the macroscopic
mechanism of crack propagation, the one proposed by Gurson and Tvergaard links the propagation of a crack
to the nucleation, growth and coalescence of micro-voids, which is likely to connect the micromechanical
characteristics of the component under examination to crack initiation and propagation up to a macroscopic
scale. It must be pointed out that, even if the statistical character of some of the many physical parameters
involved in the said model has been put in evidence, no serious attempt has been made insofar to link the
corresponding statistic to the experimental and macroscopic results, as for example crack initiation time,
material toughness, residual strength of the cracked component (R-Curve), and so on. In this work, such an
analysis was carried out in a twofold way: the former concerned the study of the influence exerted by each of
the physical parameters on the material toughness, and the latter concerned the use of the Stochastic Design
Improvement (SDI) technique to perform a “robust” numerical calibration of the model evaluating the nominal
values of the physical and correction parameters, which fit a particular experimental result even in the presence
of their “natural” variability. |
|---|---|
| ISSN: | 1971-8993 1971-8993 |