Identifying technology for structural damage based on the impedance analysis of piezoelectric sensor

Xu, Dongyu; Cheng, Xin; Huang, Shifeng; Jiang, Minhua

doi:10.1016/j.conbuildmat.2010.06.004

Cited by 54 publications

(16 citation statements)

References 21 publications

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“…Thus, structural damage and condition can be realized by monitoring the change of electric impedance associated with the PZT patch installed on the surface or inside a structure. Over the past decades, many studies have been conducted on the application of the PZT impedance method for structural damage detection (e.g., [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ]). For instance, Sun et al [ 7 ] proposed a frequency domain impedance-signature-based technique for health monitoring of an assembled truss structure and used PZT as integrated sensor-actuators; Liang et al [ 8 ] developed a coupled electro-mechanical analysis of piezoelectric ceramic actuators integrated in mechanical systems to determine the power consumption and energy transfer in electro-mechanical systems; Yang et al [ 9 ] conducted an experimental study on local damage detection of beams and plates using PZT and demonstrated that both the location and extent of damage can be simultaneously identified; Xu et al [ 12 ] investigated the structural crack damage using the impedance spectra of the PZT sensor, and presented a scalar damage metric based on the impedance spectra of the PZT sensor; and Sevillano et al [ 13 ] proposed an innovative hierarchical clustering analysis to obtain a set of clusters based on damage patterns obtained from the PZT sensor.…”

Section: Introductionmentioning

confidence: 99%

Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs

Yan

Zou

Dong

et al. 2018

Sensors

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A lightweight composite bridge deck system composed of steel orthotropic deck stiffened with thin Ultra-High Performance Concrete (UHPC) layer has been proposed to eliminate fatigue cracks in orthotropic steel decks. The debonding between steel deck and UHPC layer may be introduced during construction and operation phases, which could cause adverse consequences, such as crack-induced water invasion and distinct reduction of the shear resistance. The piezoelectric lead zirconate titanate (PZT)-based technologies are used to detect interfacial debonding defects between the steel deck and the UHPC layer. Both impedance analysis and wave propagation method are employed to extract debonding features of the steel-UHPC composite slab with debonding defect in different sizes and thicknesses. Experimental tests are performed on two steel-UHPC composite slabs and a conventional steel-concrete composite deck. Additionally, an improved Particle Swarm Optimization (PSO)-k-means clustering algorithm is adopted to obtain debonding patterns based on the feature data set. The laboratory tests demonstrate that the proposed approach provides an effective way to detect interfacial debonding of steel-UHPC composite deck.

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Section: Introductionmentioning

confidence: 99%

Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs

Yan

Zou

Dong

et al. 2018

Sensors

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“…• Z S − -the OpAmp common mode input impedance. By substituting using the expressions (8), (9) and (11) the result enables calculation (8), an actual transfer function of the auto-balancing bridge is obtained, which includes OpAmp and feedback loop parameters and reflects sources of frequency errors (12):…”

Section: B Analysis and Formalization Of The Mathematical Model Of Tmentioning

confidence: 99%

“…The confirmation of the adequacy of the obtained simplified model of the auto-balancing bridge (14) are the results of the simulations presented in Tables 1 and 2. In addition, comparative analysis of transmittance equations of a circuit based on an ideal operational amplifier (8) and the one built on OpAmp with real parameters (14) has allowed to determine that the most significant sources of errors are: decrease in gain A with frequency increase, influence of output impedance R OU T of the operational amplifier and the impact of its C IN input capacity.…”

Section: B Analysis and Formalization Of The Mathematical Model Of Tmentioning

confidence: 99%

“…M EASUREMENT of impedance, as the object's response to an alternating current flow, is increasingly used not only in the study of electronic components, but also in many other fields, for example in chemistry, medicine, materials science [1]- [8]. By measuring impedance, it is possible to test numerous physical quantities and technological parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Khoma

Podpora

et al. 2020

IEEE Access

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Autobalancing bridge method is widely used to measure the impedance of various objects in many fields of science and technology. The article presents an innovative approach to address autobalancing bridge dynamic errors to extend the range of operating frequencies. The mathematical model of auto-balancing bridge, implemented using operational amplifier, was analysed, obtaining its simplified version taking into account the most important sources of errors. The concept was developed and the algorithms for compensation of the impact of dynamic errors on the measurement of admittance components were synthesized. The presented algorithms allow the correction of admittance measurements only based on "raw" results obtained with the use of an auto-balancing bridge. Methodology was described and numerical simulation was carried out on a selected example. As shown in the paper, the developed correction algorithms allow extending significantly (400 times) the range of admittance measurement frequencies. These algorithms do not require interfering the auto-balancing bridge structure, but only engage the computing power of modern measurement channels. INDEX TERMS auto-balancing bridge method, conductance and susceptance measurement, correction algorithms, dynamic errors in frequency domain, mathematical model of operational circuit, multifrequency impedance meter.

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“…Providakis and Voutetaki [ 52 ] investigated a statistical metamodeling utilization of electro-mechanical admittance approach to the damage identification. Xu et al [ 53 ] applied the impedance method to monitor the damage of a structure by using both embedded and surface bonded piezoelectric transducers. Madhav et al [ 54 ] reviewed and prospected the application of electromechanical impedance technique in engineering structures.…”

Section: Introductionmentioning

confidence: 99%

Damage Detection of L-Shaped Concrete Filled Steel Tube (L-CFST) Columns under Cyclic Loading Using Embedded Piezoceramic Transducers

Zhang

et al. 2018

Sensors

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L-shaped concrete filled steel tube (L-CFST) columns are used frequently in civil engineering, and the concrete damage inside the L-CFST column is difficult to monitor. This research aims to develop a new method to monitor the internal concrete damage in the L-CFST column by using embedded piezoceramic smart aggregates (SAs) under low frequency cyclic loading. The SA enabled active method is used to monitor the concrete damages near the bottom of the L-CFST columns, and the wavelet packet analysis is used to establish a damage index, which is used to analyze the acquired data. During the experiment, three L-CFST columns with different wall thickness of the steel tube were tested. The experimental results find that the structural damage indices under the low-frequency cyclic loading are basically consistent with the results of the hysteretic curves and the skeleton curve of the specimens, and are in good agreement with the experimental phenomena. We conclude that the use of smart aggregate can directly and clearly reflect the damage process of the concrete core, demonstrating the feasibility of using piezoceramic smart aggregates to monitor the internal concrete damage of the L-CFST column.

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Identifying technology for structural damage based on the impedance analysis of piezoelectric sensor

Cited by 54 publications

References 21 publications

Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs

Application of PZT Technology and Clustering Algorithm for Debonding Detection of Steel-UHPC Composite Slabs

Synthesis of Dynamic Errors Correcting Algorithm for Auto–Balancing Bridge Methods

Damage Detection of L-Shaped Concrete Filled Steel Tube (L-CFST) Columns under Cyclic Loading Using Embedded Piezoceramic Transducers

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