Classification of the acoustic emissions generated during the tensile fracture process in steel fibre reinforced concrete using a waveform-based clustering method

Saha, I and Vidya Sagar, R (2021) Classification of the acoustic emissions generated during the tensile fracture process in steel fibre reinforced concrete using a waveform-based clustering method. In: Construction and Building Materials, 294 .

PDF con_bui_mat_294_2021.pdf - Published Version Restricted to Registered users only Download (6MB) | Request a copy

Abstract

This article reports the characterization of generated AE during the tensile fracture process in Steel fibre reinforced concrete (SFRC) using Wavelet Packet Decomposition (WPD) and pattern recognition to study the damage development and post-peak response in SFRC. Split-Tensile tests were performed on plain concrete and SFRC specimen in the laboratory and the AE waveforms generated during the fracture were classified into two categories, namely (a) AE waveforms for cementitious matrix cracking and (b) AE waveforms generated due to steel fibre pullout, by implementing unsupervised learning and supervised learning techniques. It was observed that if there is active participation of steel fibres in crack bridging then the AE energy for fibre pullout is more. As the volume fraction of the steel fibres decreases, the number of AE hits corresponding to steel fibre pullout decreases. Classification of the AE waveform may be useful to understand the development of damage during the tensile fracture process in SFRC. © 2021 Elsevier Ltd

Item Type:	Journal Article
Publication:	Construction and Building Materials
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	17 Aug 2021 10:55
Last Modified:	17 Aug 2021 10:55
URI:	http://eprints.iisc.ac.in/id/eprint/69159

Actions (login required)

View Item