Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface

Huynh, Thanh‐Canh; Dang, Ngoc‐Loi; Kim, Jeong-Tae

doi:10.3390/s18092766

Cited by 74 publications

(58 citation statements)

References 37 publications

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“…The bolted connection of a lab-scaled steel beam was selected to investigate the effect of sensor defects (i.e., sensor breakage and debonding) on impedance monitoring via the PZT interface device. The theoretical background of the PZT interface-based impedance monitoring technique for damage monitoring of bolted joints is reported in [20]. As shown in Figure 1a, the steel beam has an H-shaped cross-section with the dimensions of H−200 × 180 × 8 × 10 mm.…”

Section: Test-setupmentioning

confidence: 99%

“…The structural and geometrical properties of the PZT interface are adjusted to create strong resonances in a desired effective frequency range [19]. The piezoelectric interface technique can be easily integrated with a wireless impedance sensing system to perform an autonomous and real-time structural health monitoring (SHM) [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…Park et al [34] extended the impedance model of Xu and Liu [32] to take into account the degradations in the sensor quality and the bonding layer. Recently, 2-degree-of-freedom (2-dof) impedance models have been proposed to analytically represent the coupled interaction between the piezoelectric-based smart interface and the host structure [20,35]. Nonetheless, the 2-dof impedance models as they have been developed so far can be only used to estimate the structural integrity because they have ignored the role of the bonding layer and idealized the force transfer between the PZT and the interface.…”

Section: Introductionmentioning

confidence: 99%

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Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique

Huynh

Nguyen

et al. 2020

Sensors

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For a structural health monitoring (SHM) system, the operational functionality of sensors is critical for successful implementation of a damage identification process. This study presents experimental and analytical investigations on sensor fault diagnosis for impedance-based SHM using the piezoelectric interface technique. Firstly, the piezoelectric interface-based impedance monitoring is experimentally conducted on a steel bolted connection to investigate the effect of structural damage and sensor defect on electromechanical (EM) impedance responses. Based on the experimental analysis, sensor diagnostic approaches using EM impedance features are designed to distinguish the sensor defect from the structural damage. Next, a novel impedance model of the piezoelectric interface-driven system is proposed for the analytical investigation of sensor fault diagnosis. Various parameters are introduced into the EM impedance formulation to model the effect of shear-lag phenomenon, sensor breakage, sensor debonding, and structural damage. Finally, the proposed impedance model is used to analytically estimate the change in EM impedance responses induced by the structural damage and the sensor defect. The analytical results are found to be consistent with experimental observations, thus evidencing the feasibility of the novel impedance model for sensor diagnosis and structural integrity assessment. The study is expected to provide theoretical and experimental foundations for impedance monitoring practices, using the piezoelectric interface technique, with the existence of sensor faults.

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Section: Test-setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique

Huynh

Nguyen

et al. 2020

Sensors

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“…As a commonly used piezoceramic material, lead zirconate titanate (PZT) has been applied in structural health monitoring [31][32][33] due to its strong piezoelectric effect [34,35] and wide bandwidth [36,37]. With both sensing and actuation functions, PZTs are often used in active sensing methods for structural health monitoring (SHM) and damage detection.…”

Section: Introductionmentioning

confidence: 99%

Detecting Debonding between Steel Beam and Reinforcing CFRP Plate Using Active Sensing with Removable PZT-Based Transducers

Jiang

Deng

et al. 2019

Sensors

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Carbon fiber reinforced polymer (CFRP) plates are widely used to retrofit or reinforce steel structures, and the debonding damage between the steel structure and the CFRP plate is a typical failure in strengthening steel structures. This paper proposes a new approach to detecting debonding between a steel beam and a reinforcing CFRP plate by using removable lead zirconate titanate (PZT)-based transducers and active sensing. The removable PZT-based transducers are used to implement the active sensing approach, in which one transducer, as an actuator, is used to generate stress wave, and another transducer, as a sensor, is used to detect the stress wave that propagates across the bonding between the steel beam and the reinforcing CFRP plate. The bonding condition significantly influences the received sensor signal, and a wavelet-packet-based energy index (WPEI) is used to quantify the energy of the received signal to evaluate the severity of debonding between the steel beam and the reinforcing CFRP plate. To validate the proposed approach, experimental studies were performed, and two removable PZT-based transducers were designed and fabricated to detect the debonding between a steel beam and the reinforcing CRFP plate. The experimental results demonstrate the feasibility of the proposed method in detecting the debonding between a steel beam and the reinforcing CFRP plate using removable PZT-based transducers.

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“…The commonality of these two methods is the utilization of sensors. This leads to a potential problem that if the sensors are not accurate enough, it is highly possible to miss the alarms for small leakages.Slow small leakages (seepage) usually occur in weak links of the pipelines, such as welding seams, flanges, or valves [55][56][57], and they are difficult to detect due to their concealment. In addition, pipelines are subject to corrosion [58][59][60], erosion [61], and cracking [62][63][64], which may also cause small leakages at the initial stage.…”

mentioning

confidence: 99%

An EKF-Based Method and Experimental Study for Small Leakage Detection and Location in Natural Gas Pipelines

Hou

Zhu

2019

Applied Sciences

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Small leaks in natural gas pipelines are hard to detect, and there are few studies on this problem in the literature. In this paper, a method based on the extended Kalman filter (EKF) is proposed to detect and locate small leaks in natural gas pipelines. First, the method of a characteristic line is used to establish a discrete model of transient pipeline flow. At the same time, according to the basic idea of EKF, a leakage rate is distributed to each segment of the discrete model to obtain a model with virtual multi-point leakage. As such, the virtual leakage rate becomes a component of the state variables in the model. Secondly, system noise and measurement noise are considered, and the optimal hydraulic factors such as leakage rate are estimated using EKF. Finally, by using the idea of an equivalent pipeline, the actual leakage rate is calculated and the location of leakage on the pipeline is assessed. Simulation and experimental results show that this method can consistently predict the leakage rate and location and is sensitive to small leakages in a natural gas pipeline.

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Preload Monitoring in Bolted Connection Using Piezoelectric-Based Smart Interface

Cited by 74 publications

References 37 publications

Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique

Sensor Fault Diagnosis for Impedance Monitoring Using a Piezoelectric-Based Smart Interface Technique

Detecting Debonding between Steel Beam and Reinforcing CFRP Plate Using Active Sensing with Removable PZT-Based Transducers

An EKF-Based Method and Experimental Study for Small Leakage Detection and Location in Natural Gas Pipelines

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