Journal article
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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(Preview, Version of record, pdf, 2.2MB, Terms of use)
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- Publisher copy:
- 10.1016/j.ijfatigue.2025.109044
Authors
- 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:
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1879-3452
- ISSN:
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0142-1123
- Language:
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English
- Keywords:
- Pubs id:
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2126083
- Local pid:
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pubs:2126083
- Deposit date:
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2025-05-28
- ARK identifier:
Terms of use
- Copyright holder:
- Jiménez-Alfaro and Martínez-Pañeda
- Copyright date:
- 2025
- Rights statement:
- © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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