Feasibility evaluation of the development of type 1-3 acoustic emission sensors for health monitoring of large bridge structures

Guo, Rui; Liu, Fen; Zhang, Xiaofang; Zhao, Yaoting; Huang, Shifeng; Lin, Xiujuan; Yang, Cheng‐Fu

doi:10.1016/j.ceramint.2023.01.055

Cited by 8 publications

(4 citation statements)

References 30 publications

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“…Leak detection: Acoustic sensors can detect leaks in pipelines and underground tanks. The sensors can detect the sound of the leak, which can be used to locate the source of the leak [113]. Acoustic sensors are used to test the properties of soil.…”

Section: Specific Applications Of Acoustic Sensors In Constructionmentioning

confidence: 99%

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Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring

Shilar,

Ganachari,

Patil

et al. 2024

Materials

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Structural health monitoring (SHM) is crucial for maintaining concrete infrastructure. The data collected by these sensors are processed and analyzed using various analysis tools under different loadings and exposure to external conditions. Sensor-based investigation on concrete has been carried out for technologies used for designing structural health monitoring sensors. A Sensor-Infused Structural Analysis such as interfacial bond-slip model, corroded steel bar, fiber-optic sensors, carbon black and polypropylene fiber, concrete cracks, concrete carbonation, strain transfer model, and vibrational-based monitor. The compressive strength (CS) and split tensile strength (STS) values of the analyzed material fall within a range from 26 to 36 MPa and from 2 to 3 MPa, respectively. The material being studied has a range of flexural strength (FS) and density values that fall between 4.5 and 7 MPa and between 2250 and 2550 kg/m3. The average squared difference between the predicted and actual compressive strength values was found to be 4.405. With cement ratios of 0.3, 0.4, and 0.5, the shear strength value ranged from 4.4 to 5.6 MPa. The maximum shear strength was observed for a water–cement ratio of 0.4, with 5.5 MPa, followed by a water–cement ratio of 0.3, with 5 MPa. Optimizing the water–cement ratio achieves robust concrete (at 0.50), while a lower ratio may hinder strength (at 0.30). PZT sensors and stress-wave measurements aid in the precise structural monitoring, enhanced by steel fibers and carbon black, for improved sensitivity and mechanical properties. These findings incorporate a wide range of applications, including crack detection; strain and deformation analysis; and monitoring of temperature, moisture, and corrosion. This review pioneers sensor technology for concrete monitoring (Goal 9), urban safety (Goal 11), climate resilience (Goal 13), coastal preservation (Goal 14), and habitat protection (Goal 15) of the United Nations’ Sustainable Development Goals.

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Section: Specific Applications Of Acoustic Sensors In Constructionmentioning

confidence: 99%

“…The third step is detection: The sensor detects the reflected sound wave and measures various parameters, such as the amplitude and the time of flight of the sound wave. These measurements can infer various physical parameters such as distance, displacement, and velocity [98,113,114].…”

Section: Specific Applications Of Acoustic Sensors In Constructionmentioning

confidence: 99%

Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring

Shilar,

Ganachari,

Patil

et al. 2024

Materials

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“…where h p is the thickness of PZT. For any circular PZT fixed on the structural surface by pasting, its mechanical impedance can be calculated using formula (9). Clearly, both the Bhalla and Zhu models assume direct force transfer between PZT and the structure while ignoring the intermediate adhesive layer.…”

Section: Emi Coupling Model Of Circular Pztmentioning

confidence: 99%

“…We calculate the mechanical impedance Z a,eff of the PZT patch using equation (9). Owing to the complexity of the structure, its Z s,eff cannot be derived.…”

Section: Materials Parameter Valuementioning

confidence: 99%

Research on the influence of an adhesive layer on the monitoring signal of piezoelectric sensors

Yu,

Guo,

Yue

et al. 2023

Smart Mater. Struct.

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Electromechanical impedance (EMI) technology, as one of the important methods for analyzing and studying the interaction between sensors and structures, has the characteristics of clear physical meaning and high computational efficiency. However, for complex structures, it is difficult to quantitatively combine the measured impedance signal with the physical parameters of the tested structure. Therefore, establishing an appropriate EMI model is crucial to facilitate the quantitative analysis of structural health monitoring. The impedance models developed so far assume perfect adhesion between PZT and the structure, with displacement compatibility, and ignore the shear lag effect of the adhesive layer. Therefore, this research focuses on analyzing how surface-bonded PZT couples with the structure through the adhesives and conducting a shear layer analysis on two-dimensional (2-D) circular PZT to derive a closed-form solution for shear lag distribution. The shear lag effect is integrated into the 2D impedance formula. The influence of the adhesive layer on bolt loosening monitoring is studied, and it is proven that the modified EMI model can effectively predict the shear lag effect of the adhesive layer. The result of relative error analysis proves that conventional adhesive PZT also exhibits the shear lag phenomenon. The influence of different thicknesses of adhesive layers on sensor sensitivity is studied. The experimental results show that as the thickness of the adhesive layer decreases, the monitoring sensitivity of the sensor increases. Moreover, for slight bolt loosening, the thickness of the adhesive layer can affect the monitoring frequency.

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Adjusting the surface quality of printed components via controlling dispersant content to improve the electrical performance of DLP-printed PZT ceramics and devices

Zhao,

Lin,

Liu

et al. 2024

Ceramics International

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Feasibility evaluation of the development of type 1-3 acoustic emission sensors for health monitoring of large bridge structures

Cited by 8 publications

References 30 publications

Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring

Exploring the Potential of Promising Sensor Technologies for Concrete Structural Health Monitoring

Research on the influence of an adhesive layer on the monitoring signal of piezoelectric sensors

Adjusting the surface quality of printed components via controlling dispersant content to improve the electrical performance of DLP-printed PZT ceramics and devices

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