Early detection of corrosion damage in reinforced concrete using GPR array imaging method

Corrosion of reinforcing bars constitutes a significant factor contributing to cracking and spalling in reinforced concrete (RC) structures. To prolong the service life of RC structures, it is crucial to develop a robust nondestructive inspection system for early-stage corrosion damage assessment. A...

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Main Authors: Cheng Weixia, Sun, Hai-Han, Tan, Kang Hai, Fan, Zheng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/179150
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1791502024-07-22T03:09:47Z Early detection of corrosion damage in reinforced concrete using GPR array imaging method Cheng Weixia Sun, Hai-Han Tan, Kang Hai Fan, Zheng School of Mechanical and Aerospace Engineering School of Civil and Environmental Engineering Engineering Arrays Electromagnetic wave Corrosion of reinforcing bars constitutes a significant factor contributing to cracking and spalling in reinforced concrete (RC) structures. To prolong the service life of RC structures, it is crucial to develop a robust nondestructive inspection system for early-stage corrosion damage assessment. Although ground-penetrating radar (GPR) has proven its effectiveness in detecting severe corrosion damage, identifying early-stage corrosion with conventional GPR methods with single-input-single-output (SISO) configuration is challenging due to their limited sensitivity to subtle changes in the properties of the reinforcing bar and the surrounding environment. To address this challenge, this study introduces a method that employs a GPR array to increase sensitivity in detecting early-stage corrosion. The method uses a linear multiple-input-multiple-output (MIMO) GPR array to reconstruct images of the reinforcing bars during the corrosion process. The reconstructed images are highly sensitive to corrosion-induced rusts and cracks that exhibit different dielectric permittivity and conductivity compared to the concrete. By analyzing the differences in these images from those of bars in a healthy state using the structural similarity (SSIM) index, the progression of corrosion can be precisely identified. The effectiveness of this method has been validated through numerical simulations and experimental corrosion monitoring tests. Compared to conventional SISO GPR configurations, the MIMO array offers a broader perspective in sensing corrosion products surrounding the reinforcing bars, thereby improving sensitivity and robustness in detecting early-stage corrosion. 2024-07-22T03:09:47Z 2024-07-22T03:09:47Z 2024 Journal Article Cheng Weixia, Sun, H., Tan, K. H. & Fan, Z. (2024). Early detection of corrosion damage in reinforced concrete using GPR array imaging method. IEEE Transactions On Instrumentation and Measurement, 73, 1-9. https://dx.doi.org/10.1109/TIM.2024.3383496 0018-9456 https://hdl.handle.net/10356/179150 10.1109/TIM.2024.3383496 2-s2.0-85189624438 73 1 9 en IEEE Transactions on Instrumentation and Measurement © 2024 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Arrays
Electromagnetic wave
spellingShingle Engineering
Arrays
Electromagnetic wave
Cheng Weixia
Sun, Hai-Han
Tan, Kang Hai
Fan, Zheng
Early detection of corrosion damage in reinforced concrete using GPR array imaging method
description Corrosion of reinforcing bars constitutes a significant factor contributing to cracking and spalling in reinforced concrete (RC) structures. To prolong the service life of RC structures, it is crucial to develop a robust nondestructive inspection system for early-stage corrosion damage assessment. Although ground-penetrating radar (GPR) has proven its effectiveness in detecting severe corrosion damage, identifying early-stage corrosion with conventional GPR methods with single-input-single-output (SISO) configuration is challenging due to their limited sensitivity to subtle changes in the properties of the reinforcing bar and the surrounding environment. To address this challenge, this study introduces a method that employs a GPR array to increase sensitivity in detecting early-stage corrosion. The method uses a linear multiple-input-multiple-output (MIMO) GPR array to reconstruct images of the reinforcing bars during the corrosion process. The reconstructed images are highly sensitive to corrosion-induced rusts and cracks that exhibit different dielectric permittivity and conductivity compared to the concrete. By analyzing the differences in these images from those of bars in a healthy state using the structural similarity (SSIM) index, the progression of corrosion can be precisely identified. The effectiveness of this method has been validated through numerical simulations and experimental corrosion monitoring tests. Compared to conventional SISO GPR configurations, the MIMO array offers a broader perspective in sensing corrosion products surrounding the reinforcing bars, thereby improving sensitivity and robustness in detecting early-stage corrosion.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Cheng Weixia
Sun, Hai-Han
Tan, Kang Hai
Fan, Zheng
format Article
author Cheng Weixia
Sun, Hai-Han
Tan, Kang Hai
Fan, Zheng
author_sort Cheng Weixia
title Early detection of corrosion damage in reinforced concrete using GPR array imaging method
title_short Early detection of corrosion damage in reinforced concrete using GPR array imaging method
title_full Early detection of corrosion damage in reinforced concrete using GPR array imaging method
title_fullStr Early detection of corrosion damage in reinforced concrete using GPR array imaging method
title_full_unstemmed Early detection of corrosion damage in reinforced concrete using GPR array imaging method
title_sort early detection of corrosion damage in reinforced concrete using gpr array imaging method
publishDate 2024
url https://hdl.handle.net/10356/179150
_version_ 1814047202200256512