This article presents an experimental study on veriﬁcation of the applicability of Gaussian mixture modelling (GMM) algorithm of acoustic emissions for damage identiﬁcation in reinforced concrete (RC) structures. Eight RC-ﬂanged beam specimens with different properties were tested subjected to ﬂexural loading. An incremental cyclic load was applied on RC-ﬂanged beam specimens till failure, and simultaneously, the released acoustic emissions (AE) were recorded. It may be required to study crack classiﬁcation in RC structures, because crack classiﬁcation studies are useful to predict the structural performance and subsequently to implement the appropriate structural rehabilitation methods. AE belonging to tensile cracking and shear cracking can be studied by a probabilistic approach. It was observed that the line separating the AE clusters belonging to tensile and shear cracks was shifting towards a higher rise angle as the specimen is reaching collapse stage. This observation indicates dominance of shear cracks near the collapse stage. At the loading cycle where yielding occurred in the test specimen obtained by using GMM algorithm for AE, the load cycle entered into heavy damage zone is almost same as per NDIS-2421 damage assessment chart. The results obtained by both GMM algorithms for AE and NDIS-2421 criterion to evaluate the
Journal of Civil Structural Health Monitoring – Springer Journals
Published: Jun 1, 2018
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