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Accurate damage location in complex composite structures and industrial environments using acoustic emission

Eaton, Mark Jonathan, Pearson, Matthew R., Lee, W. and Pullin, Rhys 2015. Accurate damage location in complex composite structures and industrial environments using acoustic emission. Presented at: 11th International Conference on Damage Assessment of Structures (DAMAS 2015), Ghent, Belgium, 24–26 August 2015. 11th International Conference on Damage Assessment of Structures (DAMAS 2015). Journal of Physics: Conference Series , vol. 628. 012105.

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Abstract

The ability to accurately locate damage in any given structure is a highly desirable attribute for an effective structural health monitoring system and could help to reduce operating costs and improve safety. This becomes a far greater challenge in complex geometries and materials, such as modern composite airframes. The poor translation of promising laboratory based SHM demonstrators to industrial environments forms a barrier to commercial up take of technology. The acoustic emission (AE) technique is a passive NDT method that detects elastic stress waves released by the growth of damage. It offers very sensitive damage detection, using a sparse array of sensors to detect and globally locate damage within a structure. However its application to complex structures commonly yields poor accuracy due to anisotropic wave propagation and the interruption of wave propagation by structural features such as holes and thickness changes. This work adopts an empirical mapping technique for AE location, known as Delta T Mapping, which uses experimental training data to account for such structural complexities. The technique is applied to a complex geometry composite aerospace structure undergoing certification testing. The component consists of a carbon fibre composite tube with varying wall thickness and multiple holes, that was loaded under bending. The damage location was validated using X-ray CT scanning and the Delta T Mapping technique was shown to improve location accuracy when compared with commercial algorithms. The onset and progression of damage were monitored throughout the test and used to inform future design iterations.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Date of First Compliant Deposit: 19 July 2016
Last Modified: 25 Mar 2019 02:28
URI: http://orca.cf.ac.uk/id/eprint/92752

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