A computational framework for predicting the effect of surface roughness in fatigue
Author(s)
Jimenez Alfaro, Sara
Martínez-Pañeda, Emilio
Type
Journal Article
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.
Date Issued
2025-10-01
Date Acceptance
2025-05-03
Citation
International Journal of Fatigue, 2025, 199
ISSN
0142-1123
Publisher
Elsevier
Start Page
109044
End Page
109044
Journal / Book Title
International Journal of Fatigue
Volume
199
Copyright 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/).
License URL
Identifier
10.1016/j.ijfatigue.2025.109044
Publication Status
Published
Article Number
ARTN 109044
Date Publish Online
2025-05-20