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Acoustic Emission Monitoring of CFRP Laminated Composites ...

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2 Chapter 1. Introduction<br />

represented by a mathematical fatigue model. In other words, all fatigue<br />

models will have a certain level <strong>of</strong> model uncertainty. In addition, fatigue<br />

is also inuenced by the orientations, locations and the types <strong>of</strong> damage<br />

mechanisms introduced in the composite. As a result, the fatigue model<br />

needs to be continually updated and revised while the composite is inservice.<br />

The information required for updating the model can be obtained<br />

using non-destructive condition monitoring techniques.<br />

By combining condition monitoring techniques with fatigue modelling,<br />

critical material degradation processes can be identied, failure predicted,<br />

and preventive actions planned. This approach is known as condition-based<br />

maintenance. By using eective condition based maintenance, instead <strong>of</strong><br />

corrective (after failure) or preventive (calendar-based) maintenance, companies<br />

can make substantial savings. The savings will be in the form <strong>of</strong><br />

extended part life, reduced number <strong>of</strong> unexpected breakdowns, lower risk<br />

<strong>of</strong> secondary failure, and increased safety. Consequently, there is a denite<br />

advantage in being able to detect, monitor and evaluate individual damage<br />

mechanisms before the failure <strong>of</strong> a composite.<br />

<strong>Acoustic</strong> <strong>Emission</strong> testing is a non-destructive condition monitoring<br />

technique which can be used for in situ monitoring <strong>of</strong> composite fatigue.<br />

<strong>Acoustic</strong> emissions (AE) are transient stress (pressure) waves which are<br />

generated by the energy released when microstructural changes occur in<br />

materials. 5, 6<br />

The stress waves travel through the composite and when they<br />

reach the surface, they cause it to vibrate. AE waves can be measured<br />

using very sensitive transducers which respond to surface displacements<br />

<strong>of</strong> several picometers. The AE technique can detect delamination, matrix<br />

5, 710<br />

cracking, debonding, bre cracking and bre pull-out. Hence, the high<br />

sensitivity <strong>of</strong> the AE technique may potentially enable early detection <strong>of</strong><br />

damage.<br />

However, there's no such thing as a free lunch; the high sensitivity <strong>of</strong><br />

the AE technique means that the measured AE signal may contain a high<br />

number <strong>of</strong> AE transients from sources in both the composite and the environment.<br />

The sources in the composite include damage growth, rubbing <strong>of</strong><br />

crack surfaces and friction between the bres and the matrix due to their<br />

dierent material properties. The varying material properties will result in<br />

an anisotropic speed <strong>of</strong> propagation. 11<br />

In addition, reection and attenuation<br />

<strong>of</strong> the AE waves add to the complexity. Attenuation can be caused<br />

by geometric spreading, dispersion, internal friction and scattering. 12<br />

Fur-

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