Development of technique capable of identifying different corrosion stages in reinforced concrete

Qin, Lei; Ren, Hongwei; Dong, Biqin; Xing, Feng

doi:10.1016/j.apacoust.2015.01.013

Cited by 16 publications

(5 citation statements)

References 18 publications

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“…In addition, AE technology is widely used in many aspects: (1) Interpretation of corrosion mechanisms (Qin et al [49] and Kawasaki et al [50]); (2) Identification of different sources of damage (Yoon et al [51] and Wu et al [52]), and damage evolution assessment in structural elements (Carpinteri et al [53]); (3) Corrosion location in early stages and classification of different crack types (Elfergani et al [54] and Ohtsu et al [55]); (4) Lifetime estimation for the corroded beam (Zaki et al [56]). Although the AE method is promising for CSB corrosion, some existing questions are worthy of further study, such as the removal of interference noise, AE dataset building (that is essential to definition of data mining-based filters in SHM), and application to on-site measurements.…”

Section: Physical Methodsmentioning

confidence: 99%

A Recent Progress of Steel Bar Corrosion Diagnostic Techniques in RC Structures

Luo

Jun-nan

et al. 2018

Sensors

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Corrosion of steel bar is one of key factors undermining reinforced concrete (RC) structures in a harsh environment. This paper attempts to review the non-destructive procedures from the aspect of the corrosion measurement techniques, especially their advantages and limitations. Systematical classification of diagnostic methods is carried out to determine any probable corrosion issues before the structures become severe, and helps choose the suitable method according to different construction features. Furthermore, the three electrochemical factors method is introduced to inspire researchers to combine various techniques to improve corrosion evaluation accuracy. The recommendations for future work are summarized, in conclusion.

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Section: Physical Methodsmentioning

confidence: 99%

A Recent Progress of Steel Bar Corrosion Diagnostic Techniques in RC Structures

Luo

Jun-nan

et al. 2018

Sensors

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“…Corrosion is an interesting variable to measure and can be inspected using acoustic emission (AE). These sensors are placed in the structure and allow for the evaluation of different types of corrosion [114] as well as some loss of rigidity in the structures [115].…”

Section: Piezoelectric Sensorsmentioning

confidence: 99%

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Burgos

Vargas

Pedraza

et al. 2020

Sensors

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The damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven algorithms, which are usually associated with the collection of data using sensors. Data are subsequently processed and analyzed. The second approach uses models to analyze information about the structure. In the latter case, the overall performance of the approach is associated with the accuracy of the model and the information that is used to define it. Although both approaches are widely used, data-driven algorithms are preferred in most cases because they afford the ability to analyze data acquired from sensors and to provide a real-time solution for decision making; however, these approaches involve high-performance processors due to the high computational cost. As a contribution to the researchers working with data-driven algorithms and applications, this work presents a brief review of data-driven algorithms for damage identification in structural health-monitoring applications. This review covers damage detection, localization, classification, extension, and prognosis, as well as the development of smart structures. The literature is systematically reviewed according to the natural steps of a structural health-monitoring system. This review also includes information on the types of sensors used as well as on the development of data-driven algorithms for damage identification.

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“…By using a low-frequency magnetic field, Eddy current test sensors can detect the difference between the corroded metal surface and the surface of the measuring equipment at high speed without contacting the metal structure [9,10], but this method is difficult to be applied to large-area pipeline corrosion monitoring due to the complex equipment and technology. Acoustic emission (AE) methods can monitor the changes of elastic waves inside the structure through specific AE sensors to determine the location and intensity of corrosion [11][12][13], but the fluid inside the pipeline may have some interference with the elastic waves, affecting the measurement accuracy. These methods above have good corrosion monitoring ability, which greatly promote the development of pipeline corrosion monitoring.…”

Section: Introductionmentioning

confidence: 99%

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

Lan,

Wang,

Wang

et al. 2024

Meas. Sci. Technol.

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Rod-type metal corrosion probes based on electromechanical impedance (EMI) technique can quantitatively assess the amount of corrosion, which have a promising application in pipeline corrosion monitoring and have received more and more attention. In the design of piezoelectric smart devices, electrical series and parallel connections are very important and effective adjust method to improve the device performance, but it is yet to be used in the probe design. In this work, a kind of novel metal corrosion probe with two piezoelectric elements in series and parallel connections was proposed, and its performance was investigated comprehensively by combining theoretical analysis with experiment research. Theoretical models of the proposed probe in the longitudinal vibration mode for both series and parallel connections were established, and verified by the experimental results. Influences of the thicknesses of piezoelectric layer and ceramic layer on the probe performance were analyzed. Artificial quantitative corrosion tests and accelerated corrosion tests were designed to evaluate the quantitative corrosion monitoring capacity. Temperature sensitivity tests were conducted to study the temperature dependence. The wireless impedance measurement was performed to confirm the online monitoring ability. Comparisons for the probe performance between the series and parallel connections were also presented. This work provided a comprehensive understanding for this kind of novel probe, which is beneficial to develop low-cost, high-precision, high-stability pipeline corrosion real-time monitoring technology.

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Development of technique capable of identifying different corrosion stages in reinforced concrete

Cited by 16 publications

References 18 publications

A Recent Progress of Steel Bar Corrosion Diagnostic Techniques in RC Structures

A Recent Progress of Steel Bar Corrosion Diagnostic Techniques in RC Structures

Damage Identification in Structural Health Monitoring: A Brief Review from its Implementation to the Use of Data-Driven Applications

Performance study of novel metal corrosion probes based on the adjust method of series and parallel connections

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