A generalised phase field model for fatigue crack growth in elastic–plastic solids with an efficient monolithic solver
View / Open Files
Publication Date
2022Journal Title
Computer Methods in Applied Mechanics and Engineering
ISSN
0045-7825
Publisher
Elsevier BV
Volume
388
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Khalil, Z., Elghazouli, A., & Martínez-Pañeda, E. (2022). A generalised phase field model for fatigue crack growth in elastic–plastic solids with an efficient monolithic solver. Computer Methods in Applied Mechanics and Engineering, 388 https://doi.org/10.1016/j.cma.2021.114286
Abstract
We present a generalised phase field-based formulation for predicting fatigue
crack growth in metals. The theoretical framework aims at covering a wide range
of material behaviour. Different fatigue degradation functions are considered
and their influence is benchmarked against experiments. The phase field
constitutive theory accommodates the so-called AT1, AT2 and phase
field-cohesive zone (PF-CZM) models. In regards to material deformation, both
non-linear kinematic and isotropic hardening are considered, as well as the
combination of the two. Moreover, a monolithic solution scheme based on
quasi-Newton algorithms is presented and shown to significantly outperform
staggered approaches. The potential of the computational framework is
demonstrated by investigating several 2D and 3D boundary value problems of
particular interest. Constitutive and numerical choices are compared and
insight is gained into their differences and similarities. The framework
enables predicting fatigue crack growth in arbitrary geometries and for
materials exhibiting complex (cyclic) deformation and damage responses. The
finite element code developed is made freely available at
www.empaneda.com/codes.
Keywords
Phase field fracture, Fatigue, Kinematic hardening, Bauschinger effect, Quasi-Newton
Identifiers
External DOI: https://doi.org/10.1016/j.cma.2021.114286
This record's URL: https://www.repository.cam.ac.uk/handle/1810/330680
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk