Towards automated characterisation of fatigue damage in composites using thermoelastic stress analysis

Journal article

Lambert, P., Christian, W.J.R., Emami Tabrizi, I., Patterson, E.A., Middleton, C.A. and Przybyla, C. 2024. Towards automated characterisation of fatigue damage in composites using thermoelastic stress analysis. Composites Part A: Applied Science and Manufacturing. 183, pp. 1-10. https://doi.org/10.1016/j.compositesa.2024.108205
AuthorsLambert, P., Christian, W.J.R., Emami Tabrizi, I., Patterson, E.A., Middleton, C.A. and Przybyla, C.
Abstract

Composite materials demonstrate complicated fatigue behaviour due to their microstructure and the varied types of defects that can occur during loading. This necessitates experimentation to determine their performance under loading. In this study an algorithm is introduced for identifying and categorising different defects forming during fatigue tests. Thermoelastic stress analysis was used to obtain high spatial and temporal resolution stress information from the surface of notched composite specimens. Specimens with three different geometries were loaded in tension–tension fatigue to failure. An algorithm was used to identify when and where matrix cracking and delaminations formed within the specimens as well as quantify how this changed over time. By improving how damage events are identified and characterised, the algorithm reduces the amount of time needed to process experimental fatigue data and helps to provide greater understanding of fatigue processes in new materials from early small-scale cracking all the way to final failure.

KeywordsFatigue; Damage mechanics; Mechanical testing; Thermal analysis
Year2024
JournalComposites Part A: Applied Science and Manufacturing
Journal citation183, pp. 1-10
PublisherElseiver
ISSN1359-835X
Digital Object Identifier (DOI)https://doi.org/10.1016/j.compositesa.2024.108205
Web address (URL)https://www.sciencedirect.com/science/article/pii/S1359835X24002021
Output statusPublished
Publication dates
Online12 Apr 2024
Publication process dates
Accepted11 Apr 2024
Deposited25 Jul 2024
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