Corrosion damage detection in reinforced concrete using Rayleigh wave-based method

Cheng, Weixia; Sun, Hai-Han; Wan, Li Soon; Fan, Zheng; Tan, Kang Hai

doi:10.1016/j.cemconcomp.2023.105253

Cited by 6 publications

(2 citation statements)

References 55 publications

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“…Rayleigh waves have gained much attention for their efficacy in detecting [35,36] and quantifying [37,38] the near-surface damage because the energy of Rayleigh waves mainly concentrates near the structural surface. The effective penetration depth is highly related to the frequency [39,40], which allows the control of effective detection depth of Rayleigh waves by selecting the excitation frequency.…”

Section: Introductionmentioning

confidence: 99%

MFRWA: A Multi-Frequency Rayleigh Wave Approximation Method for Concrete Carbonation Depth Evaluation

Sun,

Cui,

Chen

et al. 2024

Buildings

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Carbonation depth is essential to determine the durability and predict the remaining service life of concrete structures. This study proposes a multi-frequency Rayleigh wave approximation method (MFRWA) to evaluate carbonation depth by exploiting the frequency-dependent penetration depths of ultrasonic Rayleigh waves. A series of numerical simulations are conducted to investigate the effective penetration depth of Rayleigh waves and the feasibility of the proposed MFRWA method on carbonation depth evaluation. Subsequently, the accelerated carbonation experiment is conducted to evaluate the carbonation depth using low-frequency and high-frequency Rayleigh waves, and the measured results from the Rayleigh wave method are compared with the ones from the phenolphthalein indicator and thermalgravimetric analysis (TGA) method. The results show that carbonation depth measured by Rayleigh wave method meets well with the one from TGA technique, demonstrating that the proposed method could provide a non-destructive and precise carbonation depth estimation. The proposed MFRWA method contributes a novel scheme for concrete carbonation evaluation and holds substantial potential in both laboratory and field applications.

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Section: Introductionmentioning

confidence: 99%

MFRWA: A Multi-Frequency Rayleigh Wave Approximation Method for Concrete Carbonation Depth Evaluation

Sun,

Cui,

Chen

et al. 2024

Buildings

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“…The Rayleigh wave is well suited to the evaluation of surface defects due to its high sensitivity to surface defects [8][9][10]. The defects can be detected and evaluated based on changes in the signal-noise ratio within echo signals, specifically the amplitude variation in Rayleigh waves [11]. However, the accuracy of this method can be significantly decreased when the detected defect size is much smaller than the wavelength of Rayleigh waves [12].…”

Section: Introductionmentioning

confidence: 99%

Depth Evaluation of Tiny Defects on or near Surface Based on Convolutional Neural Network

Fei,

Cao,

et al. 2023

Applied Sciences

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This paper proposes a method for the detection and depth assessment of tiny defects in or near surfaces by combining laser ultrasonics with convolutional neural networks (CNNs). The innovation in this study lies in several key aspects. Firstly, a comprehensive analysis of changes in ultrasonic signal characteristics caused by variations in defect depth is conducted in both the time and frequency domains, based on discrete frequency spectra and original A—scan signals. Continuous wavelet transform (CWT) is employed to obtain wavelet time–frequency maps, demonstrating the consistent characteristics of this image with crack depth variations. A crucial innovation in this research involves the targeted design and optimization of the model based on the characteristics of ultrasonic signals and dataset size. This includes aspects such as data preparation, CNN architecture construction, and hyperparameter selection. The model is tested using a random validation set, which effectively demonstrates the CNN model’s validity and high precision. The proposed method enables the recognition and depth assessment of tiny defects on or near surfaces.

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Electro-chemo-physical analysis for long-term reinforcement corrosion within the reactive system of concrete

Dong,

Yu,

Gao

et al. 2025

Cement and Concrete Composites

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Corrosion damage detection in reinforced concrete using Rayleigh wave-based method

Cited by 6 publications

References 55 publications

MFRWA: A Multi-Frequency Rayleigh Wave Approximation Method for Concrete Carbonation Depth Evaluation

MFRWA: A Multi-Frequency Rayleigh Wave Approximation Method for Concrete Carbonation Depth Evaluation

Depth Evaluation of Tiny Defects on or near Surface Based on Convolutional Neural Network

Electro-chemo-physical analysis for long-term reinforcement corrosion within the reactive system of concrete

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