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Composite Materials Research Progress

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168<br />

Giangiacomo Minak and Andrea Zucchelli<br />

Numerous methods have been attempted to identify damage mechanisms from AE data<br />

[40,41] and in general many carefully controlled laboratory experiments are necessary to<br />

develop relationships between measured AE signals and a specific damage mechanism.<br />

The results from AE monitoring have been used in attempts to estimate the residual<br />

strength or life of a structure [34]. Most strength assessments from AE are based on empirical<br />

correlations developed from failure tests on a large number of nominally identical structures<br />

[42].<br />

Even if recently the research on AE, especially as regards composite laminates focused<br />

on modal analysis [43-45] in this chapter we consider classical feature-based (also known as<br />

parametric) AE analysis [38], in which for each acoustic emission a set of meaningful<br />

parameters (shown in figure 1) are detected such as:<br />

- progressive event number<br />

- counts per event<br />

- maximum amplitude within the event<br />

- event duration<br />

- event energy<br />

Figure 1. Acoustic emission parameters.<br />

This approach has been used in composite laminates with different AE interpretations.<br />

Many authors (e.g. Siron and tsuda [40] ) report that fibre breakage produces large amplitude<br />

signals while matrix cracking results in much smaller amplitudes and delamination is thought<br />

to produce medium amplitude signals. Other studies conclude that matrix cracking causes<br />

large amplitude signals while fibre breakage produced low amplitudes [47].<br />

In reality the amplitude depends on a number of factors including the local stress<br />

conditions and the energy released. In fact, for example, in [43] a very small increment of<br />

matrix crack growth produces a much smaller amplitude signal than a large matrix crack.<br />

Moreover, long duration events are attributed to delamination [44].

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