Detecting the Activation of a Self-Healing Mechanism in Concrete by Acoustic Emission and Digital Image Correlation

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="424560.fig.0017a" src="https://static.hindawi.com/articles/tswj/volume-2013/424560/figures/424560.fig.0017a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Average frequency</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="424560.fig.0017b" src="https://static.hindawi.com/articles/tswj/volume-2013/424560/figures/424560.fig.0017b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Counts to peak</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="424560.fig.0017c" src="https://static.hindawi.com/articles/tswj/volume-2013/424560/figures/424560.fig.0017c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Rise time</td></tr></table></td></tr></table>

<table>Clustering of AE features-part 2.</table>

The Scientific World Journal

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Figure 17

Figure 17: Detecting the Activation of a Self-Healing Mechanism in Concrete by Acoustic Emission and Digital Image Correlation 