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

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Wave velocity</td><td align="center">4.000 m/sec</td></tr><tr><td align="left">Event definition time</td><td align="center">150 mm</td></tr><tr><td align="left">Event lockout time</td><td align="center">180 mm</td></tr><tr><td align="left">
									Overcal time</td><td align="center">20 mm</td></tr><tr><td align="left">Hits/event</td><td align="center">min: 4, max: 8</td></tr><tr><td align="left">Max iterations</td><td align="center">256</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

The Scientific World Journal

tab3

Table 3

Table 3: Detecting the Activation of a Self-Healing Mechanism in Concrete by Acoustic Emission and Digital Image Correlation 