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The other interesting fact to note is that a sample with a large crack width will have more destructive processes than a sample with a small crack width, even if the crack in the cement paste is wider. This may indicate that a crack in the cement paste is easier to detect by the AE sensors than a crack in the concrete.
These results may indicate that a crack in the cement paste is a more reliable and more sensitive indicator of distress than a crack in the concrete surface. We must remember, however, that the concrete, as an aggregate, is much more interesting than the cement paste. At the same time, the formation of microcracks on the concrete surface may be a key factor in the development of cracks in the concrete. Macrocracks (see Figure 11) in the concrete surface are the main reason for cracks and premature failure of the concrete. The presence of microcracks in concrete is a natural consequence of the development of macrocracks in the surface.
On the basis of the obtained results, we can also conclude that the number of destructive processes in concrete is not a good indicator of concrete damage. The relation between microcracks and the number of events is just a statistical correlation. Concrete samples with the same crack width and damage may have different numbers of destructive events. If a crack develops in the concrete, it is more likely to be detected by the AE sensors than a crack in the cement paste.
From the results presented in Figure 12, it can be concluded that the average number of processes in the sample is inversely proportional to crack width. The coefficient of determination R2 is 0.988. In other words, the smaller the crack width, the higher the average number of events per sample.
The obtained results may be used for predicting the development of the cracking process in the concrete. These parameters will be taken into account during the selection of the optimal material parameters for concrete construction.
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