A mechanistic modelling methodology for microstructure-sensitive fatigue crack growth
File(s)Spiral Manuscript.pdf (2.11 MB)
Accepted version
Author(s)
Wilson, David
Dunne, Fionn PE
Type
Journal Article
Abstract
A mechanistic methodology for simulating microstructurally-sensitive (tortuosity and propagation rate) fatigue crack growth in ductile metals is introduced which utilises the recently introduced dislocation configurational stored energy as the measure of the driving force. The model implements crystal plasticity finite element simulations using the eXtended Finite Element Method (XFEM) to represent the crack. Two methods of predicting the direction of growth (based on the crystallographic slip or the maximum principal stress) are compared. The crystallographic slip based direction model is shown to predict microstructurally-sensitive fatigue crack growth in single crystals which displays many features of path tortuosity that have been observed experimentally. By introducing a grain boundary, the crystallographic model is shown to capture behaviour similar to that observed experimentally including crack deflection and retardation at the grain boundaries. Finally, two experimental examples of fatigue cracks growing across three grains are analysed, and the model is shown to capture the correct crystallographic growth paths in both cases.
Date Issued
2019-03-01
Date Acceptance
2018-11-30
Citation
Journal of the Mechanics and Physics of Solids, 2019, 124, pp.827-848
ISSN
0022-5096
Publisher
Elsevier BV
Start Page
827
End Page
848
Journal / Book Title
Journal of the Mechanics and Physics of Solids
Volume
124
Copyright Statement
© 2018 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
EPSRC
Royal Academy Of Engineering
Rolls-Royce Plc
Rolls-Royce Plc
Grant Number
EP/K034332/1
EP/K034332/1
MMRE_P54661
6000-00136639
5200041317
Subjects
01 Mathematical Sciences
02 Physical Sciences
09 Engineering
Mechanical Engineering & Transports
Publication Status
Published
Date Publish Online
2018-12-01