Abstract
| Language | English |
|---|---|
| Pages | 172-179 |
| Number of pages | 8 |
| Journal | Structural Health Monitoring |
| Volume | 18 |
| Issue number | 1 |
| Early online date | 11 Oct 2018 |
| DOIs | |
| Publication status | Published - Jan 2019 |
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Keywords
- Concrete characterization
- carbon fiber reinforced polymer
- structural health monitoring
- debond
- gap
- piezoelectric transducers
- guided waves
- non-destructive testing
Cite this
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Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique. / Giri, Paritosh; Kharkovsky, Sergey; Zhu, Xinqun; Clark, Simon Martin; Taheri, Shima; Samali, Bijan.
In: Structural Health Monitoring, Vol. 18, No. 1, 01.2019, p. 172-179.Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique
AU - Giri, Paritosh
AU - Kharkovsky, Sergey
AU - Zhu, Xinqun
AU - Clark, Simon Martin
AU - Taheri, Shima
AU - Samali, Bijan
PY - 2019/1
Y1 - 2019/1
N2 - In this article, a piezoelectric-based sensory technique is proposed for detection of the gap between surfaces of a carbon fiber reinforced polymer plate and a concrete specimen and characterization of shrinkage of early-age concrete. The proposed technique uses the propagation properties of the guided waves in the carbon fiber reinforced polymer plate excited and received by piezoelectric transducers attached to an external surface of the carbon fiber reinforced polymer?strengthened concrete specimen. Measurements are conducted with fresh and hardened early-age concrete specimens and two carbon fiber reinforced polymer plates at different gaps. A piezoelectric actuator is excited using a sine burst signal, and the generated wave is received by a sensor after propagation along the specimen. The received signal at different gap values is used to detect a gap. To quantify the gap, damage indices, including correlation coefficient, peak-to-peak amplitude of resultant signal, and root-mean-square deviation, are used. The shrinkage of concrete is detected and predicted by comparing the damage indices at different gaps with the indices at different stages of early-age concrete. The proposed technique is relatively simple method using small transducers. It is one-sided, non-destructive, and cost-effective solution for gap detection and concrete characterization.
AB - In this article, a piezoelectric-based sensory technique is proposed for detection of the gap between surfaces of a carbon fiber reinforced polymer plate and a concrete specimen and characterization of shrinkage of early-age concrete. The proposed technique uses the propagation properties of the guided waves in the carbon fiber reinforced polymer plate excited and received by piezoelectric transducers attached to an external surface of the carbon fiber reinforced polymer?strengthened concrete specimen. Measurements are conducted with fresh and hardened early-age concrete specimens and two carbon fiber reinforced polymer plates at different gaps. A piezoelectric actuator is excited using a sine burst signal, and the generated wave is received by a sensor after propagation along the specimen. The received signal at different gap values is used to detect a gap. To quantify the gap, damage indices, including correlation coefficient, peak-to-peak amplitude of resultant signal, and root-mean-square deviation, are used. The shrinkage of concrete is detected and predicted by comparing the damage indices at different gaps with the indices at different stages of early-age concrete. The proposed technique is relatively simple method using small transducers. It is one-sided, non-destructive, and cost-effective solution for gap detection and concrete characterization.
KW - Concrete characterization
KW - carbon fiber reinforced polymer
KW - structural health monitoring
KW - debond
KW - gap
KW - piezoelectric transducers
KW - guided waves
KW - non-destructive testing
UR - http://www.scopus.com/inward/record.url?scp=85056358586&partnerID=8YFLogxK
U2 - 10.1177/1475921718803790
DO - 10.1177/1475921718803790
M3 - Article
VL - 18
SP - 172
EP - 179
JO - Structural Health Monitoring
T2 - Structural Health Monitoring
JF - Structural Health Monitoring
SN - 1475-9217
IS - 1
ER -