Monitoring chloride-induced corrosion in metallic and reinforced/prestressed concrete structures using piezo sensors-based electro-mechanical impedance technique: A review

Morwal, Tarun; Bansal, Tushar; Azam, Ammar; Talakokula, Visalakshi

doi:10.1016/j.measurement.2023.113102

Cited by 16 publications

(4 citation statements)

References 55 publications

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“…Benefting from the advantages of high operating frequency and sensitivity to local damage, the EMI technique has been broadly employed in damage monitoring for rocks [139], concrete [140,141], metals [142], composite structures [143], and material corrosion [144,145]. In addition, some scholars have also applied the EMI technique to the evaluation of the structural prestress, as shown in Table 5.…”

Section: Emi-based Methodmentioning

confidence: 99%

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

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Prestressed structures are widely employed in bridges and large-span spatial structures, and the accurate evaluation of prestress state is of great importance for structural maintenance. This paper reviews the nondestructive testing (NDT) and health monitoring techniques for structural effective prestress. Specifically, the fiber Bragg grating (FBG) sensor-based, magnetic-elastic (ME) sensor-based, dynamic response-based, ultrasonic guided wave (UGW)-based, electromechanical impedance (EMI)-based, and electrical resistance-based methods are reviewed in this paper. Firstly, the principle, application range, and measuring accuracy of each technique are introduced and analyzed, and the benefits and limitations of each technique are summarized: The FBG sensor and ME sensor take on high measuring accuracy and have been applied in practical engineering, but they are required to be preinstalled during structural construction; the dynamic response-based method is greatly effective in cable force assessment but not suitable for prestress evaluation of prestressed concrete (PSC) structures; the UGW-based, EMI-based, and electrical resistance-based methods have shown favorable potential for prestress assessment in laboratory experiments, but their feasibility and accuracy in practical engineering need to be verified. Secondly, the challenges and discussion of each method are discussed in the following four aspects: measuring range, reliability of measuring results, stability and durability considering long-term monitoring, and cost-efficiency. Finally, a decision tree is proposed to choose the most appropriate prestress evaluation method in a specific application scenario.

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Section: Emi-based Methodmentioning

confidence: 99%

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Jia,

Zhang,

et al. 2023

Structural Control and Health Monitoring

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“…Structural degradation is identified by comparing the EMI signature of the PZT patch in the examined state with respect to the initial state, which corresponds to the healthy state. A large number of existing research studies in the broader literature have examined the effectiveness of EMI-based SHM of concrete due to several degradation causes, including the corrosion of steel bars in RC elements [ 14 , 15 , 16 , 17 ], concrete cover loss [ 18 ], the influence of the heating time [ 19 ], artificial cracks, and mass loss [ 20 , 21 ]. Furthermore, real-scale members of RC structures have been examined, such as beams [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ], frames [ 31 ], and joints [ 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

A Deep Learning Approach for Autonomous Compression Damage Identification in Fiber-Reinforced Concrete Using Piezoelectric Lead Zirconate Titanate Transducers

Sapidis,

Kansizoglou,

Naoum

et al. 2024

Sensors

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Effective damage identification is paramount to evaluating safety conditions and preventing catastrophic failures of concrete structures. Although various methods have been introduced in the literature, developing robust and reliable structural health monitoring (SHM) procedures remains an open research challenge. This study proposes a new approach utilizing a 1-D convolution neural network to identify the formation of cracks from the raw electromechanical impedance (EMI) signature of externally bonded piezoelectric lead zirconate titanate (PZT) transducers. Externally bonded PZT transducers were used to determine the EMI signature of fiber-reinforced concrete specimens subjected to monotonous and repeatable compression loading. A leave-one-specimen-out cross-validation scenario was adopted for the proposed SHM approach for a stricter and more realistic validation procedure. The experimental study and the obtained results clearly demonstrate the capacity of the introduced approach to provide autonomous and reliable damage identification in a PZT-enabled SHM system, with a mean accuracy of 95.24% and a standard deviation of 5.64%.

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“…Most experimental research conducted in the context of the PZT patches, bonded with the concrete specimen uses laboratory-sized specimens [20][21][22]. To apply these findings to actual constructions, it is important to carefully consider how specimen geometry and size affect the dynamic mechanical resistance that the PZT patch experiences during motion [23,24]. It is necessary to separate the effects of the specimen's structure and finite size from the mechanical impedance of the specimen material to create corrosion damage detection methods based on electro-mechanical impedance (EMI) technology appropriate for structural applications [25].…”

Section: Introductionmentioning

confidence: 99%

Exploring chloride-induced corrosion in reinforced concrete structures through embedded piezo sensor technology: an experimental and numerical study

Morwal,

Bansal,

Azam

et al. 2024

Smart Mater. Struct.

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Corrosion of steel in concrete is one of the major problems with respect to the durability of reinforced concrete (RC) structures. Thus, monitoring the corrosion in real-time is essential to prevent structural damage. However, one of the main challenges is to simulate the real-time development of corrosion in the RC structure. In recent years, smart aggregates, also called embedded piezo sensors (EPS), have become increasingly popular for monitoring localized and corrosion damage in RC structures using electro-mechanical impedance (EMI). This paper presents the experimental and numerical investigation of corrosion in RC structures subjected to the chloride-laden environment using EPS via the EMI technique. To fulfill this objective, the study has been carried out in two stages such as; in the first stage, the experiments are conducted on the RC specimen, and the EMI response was obtained both in a pristine state and when accelerated corrosion progressed. In the second step, a numerical model of the RC specimen has been developed based on the experimental data in the COMSOL software, and the effect of corrosion in the form of varying mass loss percentages has been simulated. Based on the results, it is concluded that the experimental and numerical conductance signatures before and after corrosion are matched. The deterioration in terms of stiffness loss in the RC specimen was 18.20% at 30% mass loss.

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Monitoring chloride-induced corrosion in metallic and reinforced/prestressed concrete structures using piezo sensors-based electro-mechanical impedance technique: A review

Cited by 16 publications

References 55 publications

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

Nondestructive Testing and Health Monitoring Techniques for Structural Effective Prestress

A Deep Learning Approach for Autonomous Compression Damage Identification in Fiber-Reinforced Concrete Using Piezoelectric Lead Zirconate Titanate Transducers

Exploring chloride-induced corrosion in reinforced concrete structures through embedded piezo sensor technology: an experimental and numerical study

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