Passive monitoring of nonlinear relaxation of cracked polymer concrete samples using Acoustic Emission
Résumé
This work presents an acoustic emission (AE) monitoring of
slow dynamics in micro-cracked polymer concrete (PC) samples. In
order to obtain calibrated damage states, AE was first used to characterize the micro-damage mechanisms in real time when PC samples are
submitted to three-point bending tests. Then, an unsupervised classification of AE data based on the Principle Component Analysis and the
k-means clustering was applied to classify AE data. The AE monitoring
of the nonlinear relaxation of PC samples revealed the existence of a
silence period followed by AE hits belonging to two different damage
classes. A similarity appeared between the properties of the detected AE
hits obtained during the nonlinear relaxation and the quasi-static tests.
Finally, this work shows that the dynamics of both mechanisms during
the nonlinear relaxation are clearly different.
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