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.

Highlights

  • The use of damage detection tools to monitor the health of engineering structures throughout their service lives has the potential to facilitate significant cost saving by reducing maintenance and down time, whilst improving safety

  • It has been demonstrated that the Delta T Mapping algorithm can improve location accuracy in complex structures compared with the traditional TOA algorithm

  • The presented results highlight the potential for the acoustic emission (AE) technique to bridge the gap between laboratory demonstrators and application in challenging industrial environments

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Summary

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This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 628 012105 (http://iopscience.iop.org/1742-6596/628/1/012105) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 131.251.254.61 This content was downloaded on 19/07/2016 at 10:10 Please note that terms and conditions apply

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