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  4. Modelling and predicting fatigue crack growth in structural adhesive joints
 
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Modelling and predicting fatigue crack growth in structural adhesive joints
File(s)
1-s2.0-S2452321616300294-main.pdf (754.85 KB)
Published version
Author(s)
Kinloch, AJ
Jones, R
Hu, W
Type
Conference Paper
Abstract
The present paper examines crack growth in a range of structural adhesive joints under cyclic-fatigue loadings. It is shown that
cyclic-fatigue crack-growth in such materials can be modelled by a form of the Hartman and Schijve crack-growth equation
which aims to give a unique and linear ‘master’ representation for the fatigue data points that have been experimentally
obtained. This relationship is shown to capture the experimental data representing the effects of test conditions, such as the R-ratio (=σmin
/σmax) present in the fatigue cycle and test temperature. It also captures the typical scatter often seen in such tests,
especially at low values of the fatigue crack-growth rate. Furthermore, the methodology is shown to be applicable to, and to unify, the results from Mode I (opening tensile), Mode II (in-plane shear) and Mixed-Mode I/II fatigue tests. Finally, it is used to predict successfully the rate of fatigue crack-growth in two bonded-repair type joints where naturally-occurring disbonds have initiated and grown.
Date Issued
2016-07-21
Date Acceptance
2016-06-03
Citation
Procedia Structural Integrity, 2016, 2, pp.221-226
URI
http://hdl.handle.net/10044/1/33375
DOI
https://www.dx.doi.org/10.1016/j.prostr.2016.06.029
ISSN
1877-7058
Publisher
Elsevier
Start Page
221
End Page
226
Journal / Book Title
Procedia Structural Integrity
Volume
2
Copyright Statement
© 2016 The Authors. Published by Elsevier B.V. This paper is available open access under the CC-BY-NC-ND license.
License URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Source
21st European Conference on Fracture (ECF21)
Subjects
MD Multidisciplinary
Publication Status
Published
Start Date
2016-06-20
Finish Date
2016-06-24
Coverage Spatial
Catania, Italy
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