Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique

Paritosh Giri, Sergey Kharkovsky, Xinqun Zhu, Simon Martin Clark, Shima Taheri, Bijan Samali

Research output: Contribution to journalArticleResearchpeer-review

Abstract

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.
LanguageEnglish
Pages172-179
Number of pages8
JournalStructural Health Monitoring
Volume18
Issue number1
Early online date11 Oct 2018
DOIs
Publication statusPublished - Jan 2019

Fingerprint

Carbon fibers
Polymers
Concretes
Transducers
Piezoelectric transducers
Guided electromagnetic wave propagation
Piezoelectric actuators
Costs and Cost Analysis
carbon fiber
Sensors
Costs

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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title = "Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique",
abstract = "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.",
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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 journalArticleResearchpeer-review

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