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Electrical impedance spectroscopy-based defect sensing technique in estimating cracks.

Zhang T, Zhou L, Ammari H, Seo JK - Sensors (Basel) (2015)

Bottom Line: A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures.From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars.We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Korea. zttouc@hotmail.com.

ABSTRACT
A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical currents are blocked by insulating cracks, whereas high-frequency currents can pass through thin cracks to probe the conducting bars. From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars. We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.

No MeSH data available.


Related in: MedlinePlus

Reconstructed admittivity images using the multi-frequency EIT method. The second row is reconstructed images for normalized sigma σ (S/m), and the third row is reconstructed images for normalized ωϵ (S/m).
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f6-sensors-15-10909: Reconstructed admittivity images using the multi-frequency EIT method. The second row is reconstructed images for normalized sigma σ (S/m), and the third row is reconstructed images for normalized ωϵ (S/m).

Mentions: We make use of three different numerical simulation models on a disk Ω = { (x, y) : x2+y2 ≤ (0.1)2} with the radius of 0.1 m, as shown in Figures 5–7. Inside the disk, we placed cracks and bars. The complex admittivity distribution for each model is chosen as shown in Table 1.


Electrical impedance spectroscopy-based defect sensing technique in estimating cracks.

Zhang T, Zhou L, Ammari H, Seo JK - Sensors (Basel) (2015)

Reconstructed admittivity images using the multi-frequency EIT method. The second row is reconstructed images for normalized sigma σ (S/m), and the third row is reconstructed images for normalized ωϵ (S/m).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4481952&req=5

f6-sensors-15-10909: Reconstructed admittivity images using the multi-frequency EIT method. The second row is reconstructed images for normalized sigma σ (S/m), and the third row is reconstructed images for normalized ωϵ (S/m).
Mentions: We make use of three different numerical simulation models on a disk Ω = { (x, y) : x2+y2 ≤ (0.1)2} with the radius of 0.1 m, as shown in Figures 5–7. Inside the disk, we placed cracks and bars. The complex admittivity distribution for each model is chosen as shown in Table 1.

Bottom Line: A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures.From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars.We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Korea. zttouc@hotmail.com.

ABSTRACT
A defect sensing method based on electrical impedance spectroscopy is proposed to image cracks and reinforcing bars in concrete structures. The method utilizes the frequency-dependent behavior of thin insulating cracks: low-frequency electrical currents are blocked by insulating cracks, whereas high-frequency currents can pass through thin cracks to probe the conducting bars. From various frequency-dependent electrical impedance tomography (EIT) images, we can show its advantage in terms of detecting both thin cracks with their thickness and bars. We perform numerical simulations and phantom experiments to support the feasibility of the proposed method.

No MeSH data available.


Related in: MedlinePlus