Journal article
Computational predictions of hydrogen-assisted fatigue crack growth
- Abstract:
- A new model is presented to predict hydrogen-assisted fatigue. The model combines a phase field description of fracture and fatigue, stress-assisted hydrogen diffusion, and a toughness degradation formulation with cyclic and hydrogen contributions. Hydrogen-assisted fatigue crack growth predictions exhibit an excellent agreement with experiments over all the scenarios considered, spanning multiple load ratios, H pressures and loading frequencies. These are obtained without any calibration with hydrogen-assisted fatigue data, taking as input only mechanical and hydrogen transport material properties, the material’s fatigue characteristics (from a single test in air), and the sensitivity of fracture toughness to hydrogen content. Furthermore, the model is used to determine: (i) what are suitable test loading frequencies to obtain conservative data, and (ii) the underestimation made when not pre-charging samples. The model can handle both laboratory specimens and large-scale engineering components, enabling the Virtual Testing paradigm in infrastructure exposed to hydrogen environments and cyclic loading.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.4MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.ijhydene.2024.05.264
Authors
+ UK Research and Innovation
More from this funder
- Funder identifier:
- https://ror.org/001aqnf71
- Grant:
- MR/V024124/1
- Publisher:
- Elsevier
- Journal:
- International Journal of Hydrogen Energy More from this journal
- Volume:
- 72
- Pages:
- 315-325
- Publication date:
- 2024-05-29
- Acceptance date:
- 2024-05-17
- DOI:
- EISSN:
-
1879-3487
- ISSN:
-
0360-3199
- Language:
-
English
- Keywords:
- Pubs id:
-
2004418
- Local pid:
-
pubs:2004418
- Deposit date:
-
2024-06-07
Terms of use
- Copyright holder:
- Cui et al
- Copyright date:
- 2024
- Rights statement:
- © 2024 The Author(s). Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record