Design and Analysis of a Novel Piezoceramic Stack-based Smart Aggregate

Lu, Guangtao; Zhu, Xin; Wang, Tao; Hao, Zhiqiang; Tan, Bohai

doi:10.3390/s20226438

Cited by 7 publications

(9 citation statements)

References 83 publications

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“…The sizes of two plates are 400 mm × 250 mm × 1.5 mm and 400 mm × 200 mm × 1.5 mm, respectively. As illustrated in figure 3, two PZTs are also fixed on the two plates by epoxy glue for the excitation and reception of Lamb waves due to their excellent piezoelectric performance [48,49], wide bandwidth [50,51] and easy installment [52]. It should be noted that the location of the two PZT exciter and PZT receiver is selected randomly when the experiments are designed.…”

Section: Methodsmentioning

confidence: 99%

Damage identification of thin plate-like structures combining improved singular spectrum analysis and multiscale cross-sample entropy (ISSA-MCSEn)

Wang¹,

Lu²,

Song³

et al. 2023

Smart Mater. Struct.

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In this paper, a new method integrating the improved singular spectrum analysis and the multiscale cross-sample entropy (ISSA-MCSEn) is developed to identify the size of early damages in thin plate-like structures. In the algorithm, with the help of ISSA, the principal components relevant to the reference and damage-induced signals are successfully extracted, and then the components related to the damage are reconstructed for damage size detection. Lastly, the MCSEn of the reconstructed signal is computed as a new damage index to evaluate the size of the damage. To validate the proposed ISSA-MCSEn algorithm, two different experiments are conducted on aluminum and CFRP plates to detect simulated crack and through-hole, respectively. Comparative performance analysis of ISSA and SSA demonstrates that the total increment of the normalized MCSEn by using ISSA is 30%~81% while the one by using SSA is only 6.5%~9%, which demonstrates that the performance of the proposed ISSA is much better than SSA. The experimental results also show that the average of the normalized MCSEn of the proposed algorithm increases by over 77% and 28% as the size of the two damages in CFRP and aluminium plates changes from 0 to 8mm and 0 to 1.2mm, respectively. Moreover, the relationship between the normalized MCSEn and damages’ size is well linear, and the Pearson’s coefficient of their fitting curves is more than 0.99, which demonstrates that this linear relationship can be employed for damage size detection in both CRFP and aluminium plates. The linear relationship between the damage size and normalized MCSEn is used for damage detection, and the relative error between the actual and detected size is 1.64%~6.92%. In addtion, the performance comparison of ISSA-MCSEn and SSA-FuzzyEn shows that the total increment of the ISSA-MCSEn algorithm due to the damage is 30%~81% while the one of SSA-FuzzyEn is only 4%~15%, which indicates that the proposed ISSA-MCSEn is more sensitive to the damage than SSA-FuzzyEn and it is more suitable for detection of small-size damages.

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Section: Methodsmentioning

confidence: 99%

Damage identification of thin plate-like structures combining improved singular spectrum analysis and multiscale cross-sample entropy (ISSA-MCSEn)

Wang¹,

Lu²,

Song³

et al. 2023

Smart Mater. Struct.

Self Cite

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“…A new type of piezoelectric stack intelligent integrated transducer structure (PiSSA) was proposed, which used piezoelectric wafers connected in series or in parallel. Compared with the traditional single wafer, the efficiencies and output performances of the wafers were higher [31]. Meng et al [32] used the equivalent elastic method to obtain the radial and longitudinal electromechanical equivalent circuits of a sandwich transducer and derived the resonance frequency equation.…”

Section: Piezoelectric Laminated Transducermentioning

confidence: 99%

An Ultrasonic Laminated Transducer for Viscoelastic Media Detection

Yang

Song

Chen

et al. 2021

Sensors

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Based on the principle of underwater transducers, an ultrasonic four-laminated transducer with a frequency of 1 MHz was proposed to solve the problem of large energy attenuation when ultrasonic waves propagate in viscoelastic media. First, this study targeted solid rocket propellant as the research object, and the energy attenuation characteristics of ultrasonic waves propagating in viscoelastic media were analyzed through the derivation of the wave equation. Second, the structure of a four-laminated transducer with a frequency of 1 MHz was designed, and the resonance frequency was obtained by a graphical method. The sound field simulation and experimental results showed that the gain of the four-laminated transducer was 15 dB higher than that of the single-wafer transducer. An ultrasonic feature scanning system was built to complete the qualitative and quantitative detection of the smallest artificial hole (ϕ2 mm × 10 mm). Finally, two different natural defects were scanned, and the results were compared with those obtained using an industrial computed tomography detection system. The results showed that the ultrasonic method was more accurate in characterizing two natural defects. The primary cause was that the industrial CT was not sensitive to defects parallel to the incident direction of the ray. Therefore, this study not only achieved the qualitative and quantitative nondestructive testing of solid rocket propellants, but also provides an important reference for other viscoelastic components.

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“…One direction involves expanding the detection dimensions from one dimension (smart aggregate, SA) [22] to two dimensions (tubular smart aggregate, TSA) [24], and eventually to three dimensions (spherical smart aggregate, SSA) [19,25]. The other direction aims to enhance the sensing range from a single piezoelectric layer [22] to piezoelectric stacks [26,27]. In addition to these two development paths, an important improvement to enhance future applicability is the transition from wired to wireless communication [28], although limited research has been conducted in this area.…”

Section: Introductionmentioning

confidence: 99%

Advances in the development of piezoelectric smart aggregates for structural health monitoring

Jin,

Xu,

et al. 2024

Journal of Intelligent Construction

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Keywords Infrastructure proliferation Concrete utilization Structural health monitoring (SHM) Smart aggregates Developmental directionsIn recent times, the use of concrete has greatly increased alongside the rapid growth of global infrastructure. However, concrete structures face various risks like dynamic forces from winds or earthquakes and environmental impacts like corrosion. These challenges are more significant due to the saturation of infrastructure projects worldwide. To tackle these issues and ensure the long-term strength of structures, the field of structural health monitoring (SHM) has become incredibly important. One promising technology in this area is the use of smart aggregates. These are special materials that are embedded in concrete and serve three main purposes: monitoring early concrete strength, detecting impacts, and continuously monitoring the health of structures. Smart aggregates have several advantages, including being able to detect a wide range of frequencies, responding quickly, being easy to make, process, and cost-effective. Because of these benefits, they are becoming widely used for monitoring the health of structures. As time has passed, there have been significant improvements in smart aggregate technology. This article provides a comprehensive overview of the basic principles behind using smart aggregates for structural health monitoring. It also discusses the progress made in the last twenty years in three main areas: technology development, measurement range, and wireless capabilities. Additionally, the article briefly discusses recent real-world uses of smart aggregates for structural health monitoring. Looking ahead, the article outlines potential future trends in the development of smart aggregate technology. It emphasizes the need for more research to better understand how these materials perform and how effective they are in different situations. This research is crucial for making further advancements in ensuring the durability and safety of structures.

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Design and Analysis of a Novel Piezoceramic Stack-based Smart Aggregate

Cited by 7 publications

References 83 publications

Damage identification of thin plate-like structures combining improved singular spectrum analysis and multiscale cross-sample entropy (ISSA-MCSEn)

Damage identification of thin plate-like structures combining improved singular spectrum analysis and multiscale cross-sample entropy (ISSA-MCSEn)

An Ultrasonic Laminated Transducer for Viscoelastic Media Detection

Advances in the development of piezoelectric smart aggregates for structural health monitoring

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