Abstract

The effect of steel reinforcement on the distribution of alkali-silica reaction (ASR) damage in concrete blocks is studied by leveraging acoustic emission sensing with a data-driven approach. The innovation lies in deriving damage contours caused by ASR based on a minimal sensor array. Through this approach, damage progression can be traced in time and event distribution can be visualized. A gap in the current literature, namely evaluating ASR progress in concrete structures with different internal restraint using acoustic emission (AE), is addressed. Unsupervised pattern recognition is utilized to study the effect of the temporal damage condition. In the confined specimen, the distribution of AE events in the midwidth region of the specimen is concentrated and close to the normal distribution. The surface cracks are mostly oriented along the specimen length and in the midwidth region. However, in the unconfined specimen, the distribution of AE events is more uniform, and cracks are randomly distributed.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. This data includes acoustic emission, Demec, and crack width measurements. Data can be made available upon request and with the written permission of the sponsor.

Acknowledgments

This research was partially supported by the US Department of Energy-Nuclear Energy University Program (NEUP) under the contract DE-NE0008544 and the US Department of Energy Office of Science, Office of Basic Energy Sciences and Office of Biological and Environmental Research under Award Number DE-SC-00012530. The authors would like to acknowledge the contributions of the following RJ Lee Group petrographers and scientists: Patricia Kyslinger, Michael Baker, Blake Restelli, and April Snyder.

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 32Issue 10October 2020

History

Received: Sep 18, 2019
Accepted: Mar 5, 2020
Published online: Jul 25, 2020
Published in print: Oct 1, 2020
Discussion open until: Dec 25, 2020

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Vafa Soltangharaei, M.ASCE [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, Columbia, SC 29208. Email: [email protected]
Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, Columbia, SC 29208. Email: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, Columbia, SC 29208. Email: [email protected]
Principal Investigator, RJ Lee Group, Monroeville, PA 15146. ORCID: https://orcid.org/0000-0003-3938-3478. Email: [email protected]
Jinying Zhu [email protected]
Associate Professor, College of Engineering, Civil Engineering, Univ. of Nebraska-Lincoln, Lincoln, NE 68588-0531. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of South Carolina, Columbia, SC 29208 (corresponding author). ORCID: https://orcid.org/0000-0002-4783-9255. Email: [email protected]

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