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Proceedings Paper

Early age strength monitoring of concrete structures using embedded smart piezoelectric transducers
Author(s): H. Gu; G. Song; H. Dhonde; Y. L. Mo; S. Yan
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Paper Abstract

It is important to conduct early age strength monitoring of concrete structures because it will help speed up construction. Piezoelectric-based strength monitoring method provides an innovative experimental approach to conduct concrete strength monitoring at early ages. In the presented paper, piezoelectric transducers were embedded into the concrete specimen during casting. The development of strength of concrete structures was monitored by observing the development of harmonic amplitude from the embedded piezoelectric sensor at early ages. From the experimental results, the amplitude of the harmonic response decreased with the increment of the concrete strength. The amplitude of the harmonic response from piezoelectric sensor dropped rapidly for the first week and continued to drop slowly as hydration proceeded which matches the development of the concrete strength at early ages. Concrete is heterogeneous and anisotropic which makes it difficult to be mathematically analyzed. Fuzzy logic has the advantage to conduct analysis without requiring a mathematical model. In this paper, a fuzzy logic system was trained to correlate the harmonic amplitude with the concrete strength based on the experimental data. The concrete strength estimated by the trained fuzzy correlation system matches the experimental strength data. The proposed piezoelectric-based monitoring method has the potential to be applied to strength monitoring of concrete structures at early ages.

Paper Details

Date Published: 16 March 2006
PDF: 12 pages
Proc. SPIE 6179, Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring II, 61790H (16 March 2006); doi: 10.1117/12.668017
Show Author Affiliations
H. Gu, Univ. of Houston (United States)
G. Song, Univ. of Houston (United States)
H. Dhonde, Univ. of Houston (United States)
Y. L. Mo, Univ. of Houston (United States)
S. Yan, Shenyang Jianzhu Univ. (China)


Published in SPIE Proceedings Vol. 6179:
Advanced Sensor Technologies for Nondestructive Evaluation and Structural Health Monitoring II
Norbert Meyendorf; George Y. Baaklini; Bernd Michel, Editor(s)

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