Model‐based analysis of the influence of surface roughness on fatigue processes

Abstract In the last decade, the phase field method was developed to simulate fatigue fracture processes. The biggest advantage of phase field modeling is its unified framework, in which the entire fracture evolution from nucleation to propagation is covered. Even though it is known that surface roughness has an essential impact on fatigue life, it has rarely been considered directly in phase field models for fatigue processes due to the required computational effort. In this work, we provide a simulation setup to incorporate roughness profiles into a phase field model for fatigue cracks. We have used a roughness model for our studies and also present initial results that show agreement between simulation and experiments.

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Publication Details

Journal
PAMM
Published
2024-08-01
DOI
https://doi.org/10.1002/pamm.202400039
Primary Topic
Numerical methods in engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Model‐based analysis of the influence of surface roughness on fatigue processes

Eberhard Kerscher, A. Jawaid, Ralf Müller, Jörg Seewig et al.
PAMM
Numerical methods in engineering
article

Model‐based analysis of the influence of surface roughness on fatigue processes

Eberhard Kerscher, A. Jawaid, Ralf Müller, Jörg Seewig, Sikang Yan
article en

Abstract

Abstract In the last decade, the phase field method was developed to simulate fatigue fracture processes. The biggest advantage of phase field modeling is its unified framework, in which the entire fracture evolution from nucleation to propagation is covered. Even though it is known that surface roughness has an essential impact on fatigue life, it has rarely been considered directly in phase field models for fatigue processes due to the required computational effort. In this work, we provide a simulation setup to incorporate roughness profiles into a phase field model for fatigue cracks. We have used a roughness model for our studies and also present initial results that show agreement between simulation and experiments.

PAMMVol. 24(2)
Technische Universität Darmstadt (DE), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 87%
Numerical methods in engineering
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