Detection and assessment of pitting corrosion in rebars using scattering of ultrasonic guided waves

Sriramadasu, Rajeshwara Chary; Banerjee, Sauvik; Lu, Ye

doi:10.1016/j.ndteint.2018.10.005

Cited by 33 publications

(7 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, controllable pitting corrosion defects of steel bars are introduced by artificially drilling holes in the middle of steel bars. Many studies have demonstrated the performance of drilling holes in reappearing corrosion damages in the field of evaluating corrosion damages using NDT techniques [68][69][70] and exploring the mechanical degradation rules of corroded steel structures. 71 The sizes of pitting corrosion damages are represented by the lengths of pitting corrosion defects along the longitudinal direction of the steel bar.…”

Section: Methodsmentioning

confidence: 99%

A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves

Sun

Zhang

Gao

et al. 2022

Structural Health Monitoring

View full text Add to dashboard Cite

Corrosion monitoring of steel bars has drawn extensive attention in recent decades. Conventional ultrasonic method, utilizing direct waves to detect damage, is adequate for severe pitting corrosion but suffers from low sensitivity to incipient pitting corrosion. Coda wave technique, a very sensitive method to subtle changes in medium using later arrival wave packets, is innovatively introduced to monitor pitting corrosion of steel bars, especially in the early stages. The decorrelation coefficient (DC) values are calculated to quantify the variations of both direct waves and coda waves. To overcome the limitations of coda waves for severe pitting corrosion and remedy the low sensitivity of direct waves for incipient pitting corrosion, a feature-level data fusion strategy is proposed to integrate the two probing waves to monitor all-stage pitting corrosion of steel bars. The combination of direct waves and coda waves could exploit the complementary merits in various pitting corrosion configurations. The proposed feature-level fusion strategy of ultrasonic coda waves and direct waves intercepted from the same recorded signals opens a new perspective in all-stage pitting corrosion monitoring of steel bars and contributes a novel scheme for whole-process damage evaluation of structures.

show abstract

Section: Methodsmentioning

confidence: 99%

A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves

Sun

Zhang

Gao

et al. 2022

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…Conventional NDE inspection solutions that have been proposed include acoustic emission Ramadan et al (2008), capacitance-based measurements Cheng et al (2018), eddy current de Alcantara Jr. et al (2016), microwaves and GPR Pieper et al (2014), ultrasonics (measuring linear or non-linear response, or using ultrasonic guided waves) Beard et al (2003); Yeih and Huang (1998); Watanabe et al (2014); Sriramadasu et al (2019); Singh et al (2019). Monitoring methods using embedded fiber-optic sensors have also been proposed Zou et al (2015), though these are limited in that they are not applicable to structures that were built without any embedded fiber.…”

Section: Literature Reviewmentioning

confidence: 99%

Development and Validation of Quantitative Model-Based Image Reconstruction for NDE of Reinforced Steel-Lined Concrete Structures: Kal-El FY 2020

Santos-Villalobos

Ramuhalli

Alanazi

2020

View full text Add to dashboard Cite

This project studied the capabilities of Model-Based Image Reconstruction (MBIR) and Machine Learning (ML) algorithms in the imaging and estimation of rebar corrosion from ultrasound signals. The application was challenging due to the introduction of a steel liner between the sensor and the concrete containing the rebar. The study focused in a synthetic specimen with a 6.35 mm thick steel liner, and a 19.05 mm diameter rebar at a depth of 44.5 mm and with four levels of corrosion; 0%, 20%, 50%, and 100% corrosion level. The corrosion was applied uniformly around the rebar, generating a ring in the perimeter of the rebar with different acoustic density. In order to generate a realistic synthetic dataset, we added random texture to the concrete of the synthetic specimens. This texture will mimic the variations encountered in real concrete specimens. We adapted our MBIR algorithm for the application and enhanced the algorithm to integrate in the physical model known specimen features, such as the steel liner thickness. The new MBIR method was able to cancel out reverberation from the steel liner and properly image the rebar. In particular, corrosion for the 50% and 100% cases were easily visible and quantitative metrics showed a slight separation for the 0% and 20% levels. The quantitative results were in agreement with the qualitative assessment. We also developed a ML XGBoost model to estimate corrosion level from the ultrasound signals. By combining the ML method with MBIR, we can pinpoint in the ultrasound signals the section that corresponds to the echoes from the rebar. The extract signals are processed by the XGBoost model for prediction. From each system scan, we obtain 15 predictions. The median prediction value is used as the final prediction. The True Acceptance Rate for the method is over 99%.

show abstract

“…[8][9][10] With the development of guided wave theory and technology, the NDT/SHM technology based on it has become a promising direction for ensuring the health condition of complex civil structures. 11,12) Guided waves propagate parallel to the structures or interfaces by the "guiding" effect of the structures, which has the advantages of low attenuation, long propagation distance, and high damage sensitivity. The fundamental principles of NDT and SHM based on guided waves are the same, which means that the guided waves propagating in the structure are excited and received by sensors.…”

Section: Introductionmentioning

confidence: 99%

On acoustic guided wave propagation in reinforced concretes and characterization of interface bonding damages

Zhang

Zeng

et al. 2023

Jpn. J. Appl. Phys.

View full text Add to dashboard Cite

This work began with the study of round-faced reinforced concrete. The waveguide propagation characteristics are computationally analyzed with the assistance of theoretical calculation methods and sweeping frequency simulation experiments. These analytical tools are then creatively applied to threaded reinforced concrete, and the dispersion characteristics of this complex axially periodically varying waveguide are successfully analyzed. The phenomenon of frequency band pass/stop is also discussed. In addition, this research provides ideas for nondestructive testing and inverse imaging in this field by means of deep learning of interface debonding defect characteristics of reinforced concrete with the help of convolutional neural networks. This work can be applied not only to various complex reinforced concrete structures but also extended to waveguide propagation analysis and defect size data inversion in various complex periodic structures.

show abstract

Detection and assessment of pitting corrosion in rebars using scattering of ultrasonic guided waves

Cited by 33 publications

References 34 publications

A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves

A novel method for steel bar all-stage pitting corrosion monitoring using the feature-level fusion of ultrasonic direct waves and coda waves

Development and Validation of Quantitative Model-Based Image Reconstruction for NDE of Reinforced Steel-Lined Concrete Structures: Kal-El FY 2020

On acoustic guided wave propagation in reinforced concretes and characterization of interface bonding damages

Contact Info

Product

Resources

About