Monitoring of concrete curing using the electromechanical impedance technique: review and path forward
Author(s): |
Yee Yan Lim
Scott T. Smith Ricardo Vasquez Padilla Chee Kiong Soh |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, October 2020, n. 2, v. 20 |
Page(s): | 147592171989306 |
DOI: | 10.1177/1475921719893069 |
Abstract: |
The ability to monitor the strength development of early-age concrete is an important capability in the laboratory and in the field. Accurate and reliable in situ measurements can inform the appropriate time for removal of formwork and loading of structural elements, as well as determination of batch quality. The piezoelectric-based electromechanical impedance technique is emerging as a viable option for such monitoring needs. The first research articles on the topic started to appear in 2005, and since then, the research field has advanced and has grown in popularity. This article therefore presents the first state-of-the-art review of the topic to date. In this article, existing research is reviewed and sorted into key themes while critical developments as well as knowledge gaps are identified. The topics addressed range from miniaturization of hardware, methods of installation, incorporation of wireless technology, modeling, data interpretation, signal processing, influence of curing, and environmental conditions to a wide range of other practical issues. Previous studies have indicated that the electromechanical impedance technique has the potential to be developed into an autonomous and remote monitoring system, capable of predicting the strength development of early-age concrete structures in real time. An end game is therefore the realization of this capability. Appropriate comments are therefore also provided in this article about this goal. Researchers interested in venturing into this research area shall find this article a useful introduction as well as a state-of-the-art assessment. In addition, the identified research gaps can inform projects for more experienced research teams. |
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data sheet - Reference-ID
10562382 - Published on:
11/02/2021 - Last updated on:
26/04/2021