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A computational framework for predicting the effect of surface roughness in fatigue

Abstract:
Surface roughness is a critical factor influencing the fatigue life of structural components. Its effect is commonly quantified using a correction coefficient known as the surface factor. In this paper, a phase field based numerical framework is proposed to estimate the surface factor while accounting for the stochastic nature of surface roughness. The model is validated against existing experimental data. Furthermore, we investigate the influence of key parameters on the fatigue life of rough surfaces, such as surface topology and failure strength. An important effect of surface roughness is observed when the average surface roughness increases and the correlation length of the surface profile decreases. This effect becomes more pronounced with higher failure strengths.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ijfatigue.2025.109044

Authors

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Role:
Author
ORCID:
0000-0001-7657-2388
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
Elsevier
Journal:
International Journal of Fatigue More from this journal
Volume:
199
Article number:
109044
Publication date:
2025-05-20
Acceptance date:
2025-05-03
DOI:
EISSN:
1879-3452
ISSN:
0142-1123


Language:
English
Keywords:
Pubs id:
2126083
Local pid:
pubs:2126083
Deposit date:
2025-05-28
ARK identifier:

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