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Fatigue damage evolution in GFRP laminates with constrained off-axis plies

Fatigue damage evolution in GFRP laminates with constrained off-axis plies
Fatigue damage evolution in GFRP laminates with constrained off-axis plies
The characterisation of fatigue damage evolution in constrained glass fibre reinforced plastic off-axis laminates is presented. A newly developed imaging technique known as Automatic Crack Counting (ACC) is used to quantify the off-axis crack state in constant amplitude (CA) and variable amplitude (VA) block loading tension-tension fatigue tests and constant amplitude compression-tension tests. The quantified crack states are analysed by combining the newly developed ACC method with a data mining approach and applying these to large data sets obtained during fatigue tests. It is shown that for a constant stress level, the stochastic nature of off-axis crack initiation and crack growth is accurately modelled by the Weibull distribution, with the distribution parameters being efficiently derived using the developed approach. The data-rich characterisation provides new insight in the crack density evolution process for VA and C-T loading, as well as derived Weibull distribution parameters in combination with the classical S-N curves and Paris’ Law relationship. Hence, providing an improved approach that includes the stochastic and deterministic information for physically based modelling of crack density evolution for fatigue loading.
Fatigue, Polymer-matrix composites, Transverse cracking, Damage mechanics, Digital image processing
1359-835X
1-31
Glud, J.A.
8e7a814e-24dd-40f8-bd26-465f29c5e4eb
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047
Overgard, L.C.T.
d3885e1e-9795-4f3f-a48d-8a5e743ee271
Glud, J.A.
8e7a814e-24dd-40f8-bd26-465f29c5e4eb
Dulieu-Barton, J.M.
9e35bebb-2185-4d16-a1bc-bb8f20e06632
Thomsen, O.T.
f3e60b22-a09f-4d58-90da-d58e37d68047
Overgard, L.C.T.
d3885e1e-9795-4f3f-a48d-8a5e743ee271

Glud, J.A., Dulieu-Barton, J.M., Thomsen, O.T. and Overgard, L.C.T. (2017) Fatigue damage evolution in GFRP laminates with constrained off-axis plies. Composites Part A: Applied Science and Manufacturing, 1-31. (doi:10.1016/j.compositesa.2017.02.005).

Record type: Article

Abstract

The characterisation of fatigue damage evolution in constrained glass fibre reinforced plastic off-axis laminates is presented. A newly developed imaging technique known as Automatic Crack Counting (ACC) is used to quantify the off-axis crack state in constant amplitude (CA) and variable amplitude (VA) block loading tension-tension fatigue tests and constant amplitude compression-tension tests. The quantified crack states are analysed by combining the newly developed ACC method with a data mining approach and applying these to large data sets obtained during fatigue tests. It is shown that for a constant stress level, the stochastic nature of off-axis crack initiation and crack growth is accurately modelled by the Weibull distribution, with the distribution parameters being efficiently derived using the developed approach. The data-rich characterisation provides new insight in the crack density evolution process for VA and C-T loading, as well as derived Weibull distribution parameters in combination with the classical S-N curves and Paris’ Law relationship. Hence, providing an improved approach that includes the stochastic and deterministic information for physically based modelling of crack density evolution for fatigue loading.

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More information

Accepted/In Press date: 3 February 2017
e-pub ahead of print date: 7 February 2017
Keywords: Fatigue, Polymer-matrix composites, Transverse cracking, Damage mechanics, Digital image processing
Organisations: Engineering Mats & Surface Engineerg Gp

Identifiers

Local EPrints ID: 405650
URI: http://eprints.soton.ac.uk/id/eprint/405650
ISSN: 1359-835X
PURE UUID: 4937447d-9884-400b-bac8-1e685a61e7f7

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Date deposited: 10 Feb 2017 10:21
Last modified: 15 Mar 2024 06:19

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Contributors

Author: J.A. Glud
Author: O.T. Thomsen
Author: L.C.T. Overgard

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