Determination of yielding point by means a probabilistic method on acoustic emission signals for application to health monitoring of reinforced concrete structures

Sagar, Vidya R and Kumar, Gyaneshwar and Prasad, Gaurav and Suarez, Elisabet and Gallego, Antolino (2019) Determination of yielding point by means a probabilistic method on acoustic emission signals for application to health monitoring of reinforced concrete structures. In: STRUCTURAL CONTROL & HEALTH MONITORING, 26 (2).

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Abstract

Reinforced concrete (RC) flanged beam specimens were tested under incremental cyclic load till failure in flexure, and simultaneously, the acoustic emission (AE) signals released by the specimens were recorded. To assess damage in RC structures, a previously published index of damage (ID) based on AE signals was used. This index, however, needs to know the yielding point of the specimen. In the present study, yielding point was identified with a probabilistic method known as Gaussian mixture modeling (GMM) applied to the AE signals, as compared with that obtained by means of the plastic strain energy. It was observed that yielding load obtained with both methodologies was almost same, thus validating the GMM method. This result permits to use the ID index for damage monitoring of RC structure in practical scenarios, by using only information hidden in the AE signals. The influence of loading rate, failure type (tensile and shear), RC beam depth, concrete compressive strength, and percentage of tensile steel reinforcement on ID were studied in this work.

Item Type:	Journal Article
Publication:	STRUCTURAL CONTROL & HEALTH MONITORING
Publisher:	JOHN WILEY & SONS LTD
Additional Information:	Copyright of this article belongs to JOHN WILEY & SONS LTD
Keywords:	acoustic emission; Gaussian mixture modeling; reinforced concrete; signal processing; structural health monitoring
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	28 Jan 2019 11:48
Last Modified:	29 Jan 2019 06:01
URI:	http://eprints.iisc.ac.in/id/eprint/61520

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