4.7 Article

An Abaqus plug-in to simulate fatigue crack growth

Journal

ENGINEERING WITH COMPUTERS
Volume 38, Issue 4, Pages 2991-3005

Publisher

SPRINGER
DOI: 10.1007/s00366-021-01321-x

Keywords

Fatigue crack growth; Abaqus plug-in; Python scripting; Finite element method; Life estimation

Ask authors/readers for more resources

Fatigue crack propagation is crucial in evaluating the design life of engineering components. This paper introduces a freely distributed plug-in for simulating fatigue crack growth with the commercial FE code Abaqus, covering five different fatigue crack growth models and validated through comparisons with analytical and experimental results. The simplicity and free distribution of the plug-in make it a useful simulation tool for industrial, research, and educational purposes.
Fatigue crack propagation is an important consideration in evaluating the design life of engineering components, especially in the energy and transport industries. Despite its importance, fatigue analyses are not usually supported by commercial Finite Element (FE) codes; in fact, most FE codes require the addition of costly plug-ins to perform fatigue crack growth simulations. Therefore, this paper introduces a new, freely distributed plug-in to simulate fatigue crack growth with the commercial FE code Abaqus. The plug-in includes five different fatigue crack growth models and relies on the extended FE method to simulate crack propagation. The plug-in is limited to 2D analyses, but covers all necessary steps for fatigue crack growth simulations, from creating the geometry to job submission and post-processing. The implementation of the plug-in is validated by comparing its predictions to analytical and experimental results. Finally, we hope that the simplicity of the plug-in and the fact that it is distributed freely will make it a useful simulation tool for industrial, research and educational purposes.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available