A computational framework for predicting the effect of surface roughness in fatigue
Fuente:
arXiv
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866913819400339456 |
|---|---|
| author | Jiménez-Alfaro, S. Martínez-Pañeda, E. |
| author_facet | Jiménez-Alfaro, S. Martínez-Pañeda, E. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_01871 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A computational framework for predicting the effect of surface roughness in fatigue Jiménez-Alfaro, S. Martínez-Pañeda, E. Computational Engineering, Finance, and Science Materials Science Applied Physics 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. |
| title | A computational framework for predicting the effect of surface roughness in fatigue |
| topic | Computational Engineering, Finance, and Science Materials Science Applied Physics |
| url | https://arxiv.org/abs/2505.01871 |