An Abaqus plug-in to simulate fatigue crack growth

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 requi...

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Vydané v:Engineering with computers Ročník 38; číslo 4; s. 2991 - 3005
Hlavní autori: Malekan, Mohammad, Khosravi, Ali, St-Pierre, Luc
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Springer London 01.08.2022
Springer Nature B.V
Predmet:
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Classical Mechanics
Computer Science
Computer simulation
Computer-Aided Engineering (CAD
Control
Crack propagation
Fatigue failure
Finite element method
Fracture mechanics
Growth models
Math. Applications in Chemistry
Mathematical and Computational Engineering
Mathematical models
Original Article
Plugs
Systems Theory
Two dimensional analysis
Finite element method
Fatigue crack growth
Abaqus plug-in
Python scripting
Life estimation
ISSN:0177-0667, 1435-5663
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-021-01321-x