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Damage progression and crack classification in Reinforced Concrete structures under quasi-static monotonically increasing loading based on acoustic emission waveform parameters

Vidya Sagar, R and Basu, DJ (2023) Damage progression and crack classification in Reinforced Concrete structures under quasi-static monotonically increasing loading based on acoustic emission waveform parameters. In: Journal of Building Engineering, 76 .

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Official URL: https://doi.org/10.1016/j.jobe.2023.107332

Abstract

This article reports the application of the Logistic Regression (LR) algorithm in crack classification and subsequent damage assessment of Reinforced Concrete (RC) structures under quasi-static monotonically increasing loading. The studies related to the shift and orientation of the hyperplane that divides Acoustic Emission (AE) clusters related to tensile cracking and shear cracking in RC structures have been reported relatively less in the literature. Also, it is unclear whether the development of shear cracks confirms failure of the specimen. The precursory damage activities during the yielding stage of the specimen, prior to the final failure are assessed. The damage status of the RC structure is studied using sentry (ξ) value and AE based damage parameter (D). The development of tensile cracks resulted in a rise in the zero slope line in the ξ-value versus time plot. The development of microcracks is supported by a drop in ξ-value which corresponds to a stepwise increment in the damage parameter. The current study appears to be important in damage assessment and crack classification of in-situ RC structures.

Item Type: Journal Article
Publication: Journal of Building Engineering
Publisher: Elsevier Ltd
Additional Information: The copyright for this article belongs to the Elsevier Ltd.
Keywords: Crack classification; Damage assessment; Damage parameter; Logistic regression; Sentry value.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 07 Aug 2023 05:46
Last Modified: 07 Aug 2023 05:46
URI: https://eprints.iisc.ac.in/id/eprint/82838

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