Modified electromechanical impedance-based disbond monitoring for honeycomb sandwich composite structure

Zhu, Jianjian; Wang, Yishou

doi:10.1016/j.compstruct.2019.03.033

Cited by 36 publications

(20 citation statements)

References 38 publications

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“…The definition of RMSD is expressed in Equation (14):RMSD=true∑i=1N[xh(ωi)−xd(ωi)]2true∑i=1N[xh(ωi)]2 where xh and xd denote the extracted DCMI signatures in health and damage condition, respectively. The notation x denotes the items of Xf and Yf, N is the number of measured data points and ωi is the angular frequency of i th data point [38].…”

Section: Theoretical Methodsmentioning

confidence: 99%

“…Zuo and Wongi [35,36] separately studied the crack detection in pipelines based on the EMI signals analyzing. Zhu and Qing et al [37,38] monitored the disbond inside the composite repaired structures and honeycomb sandwich composite structures. Li et al [39] presented an electromechanical-based analytical method to study the nonlinear dynamic behavior of corrugated graphene/piezoelectric (CGP) laminated structures.…”

Section: Introductionmentioning

confidence: 99%

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Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

2019

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In order to monitor the health condition of structures in a more sensitive and accurate way, a novel and universal methodology called direct coupling mechanical impedance (DCMI) for characteristic signatures extraction is presented in this paper. This methodology is used to obtain DCMI signatures from measured raw signatures (RSs) with the surface-bonded piezoelectric sensors (PZT), which is developed from a pertinent electromechanical impedance (EMI) theoretical model for surface-bonded circular PZT. The proposed DCMI methodology has the advantages of simple calculation and magnifying the signatures when compared with the existing methods. Combining the extracted DCMI signatures with the root mean square deviation (RMSD) index is able to quantify the correlation between the health condition and the signatures variation more effectively. To verify the effectiveness of proposed DCMI methodology, experiments are conducted on aluminum plates and a part of fuselage in detail. The experimental results sufficiently demonstrate that the presented universal DCMI methodology possesses better sensitivity than the raw signatures when utilized for evaluating the health condition of metallic structures, including those made of metal-matrix nanomaterials.

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Section: Theoretical Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

2019

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“…At each excitation frequency, the magnitude signals of ultrasonic guided waves are recorded. The local resonance frequency of PZT-5A measured by a WK-6500B impedance instrument is 265 kHz, as shown in Figure 3, and the resonance frequency [29] calculated by theoretical Equation 11is 304 kHz. The central frequency error between theoretical calculation and experimental measurement is less than 13%, and the difference can be negligible.…”

Section: Exciting Frequency Selectionmentioning

confidence: 97%

Monitoring of Fatigue Crack Propagation by Damage Index of Ultrasonic Guided Waves Calculated by Various Acoustic Features

Jin

Yan

et al. 2019

Applied Sciences

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Under cyclic and repetitive loads, fatigue cracks can be further propagated to a crucial level by accumulation, causing detrimental effects to structural integrity and potentially resulting in catastrophic consequences. Therefore, there is a demand to develop a reliable technique to monitor fatigue cracks quantitatively at an early stage. The objective of this paper is to characterize the propagation of fatigue cracks using the damage index (DI) calculated by various acoustic features of ultrasonic guided waves. A hybrid DI scheme for monitoring fatigue crack propagation is proposed using the linear fusion of damage indices (DIs) and differential fusion of DIs. An experiment is conducted on an SMA490BW steel plate-like structure to verify the proposed hybrid DIs scheme. The experimental results show that the hybrid DIs from various acoustic features can be used to quantitatively characterize the propagation of fatigue cracks, respectively. It is found that the fused DIs calculated by the acoustic features in the frequency domain have an improved reliable manner over those of the time domain. It is also clear that the linear and differential amplitude fusion DIs in the frequency domain are more promising to indicate the propagation of fatigue cracks quantitatively than other fused ones.

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“…Recently, Zhu et al proposed a comprehensive active monitoring scheme direct coupling mechanical impedance-based signature extraction using a modified electromechanical impedance analytical model. They used root mean square difference (RMSD) index to locate and quantify the extent of the disbond inside the structures [ 7 , 8 ]. Apart from developments in the EMI-based damage detection, data fusion-based techniques, too, are receiving a renewed interest in the last few years.…”

Section: Introductionmentioning

confidence: 99%

A Variable Data Fusion Approach for Electromechanical Impedance-Based Damage Detection

Singh

Soman

Wandowski

et al. 2020

Sensors

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There is continuing research in the area of structural health monitoring (SHM) as it may allow a reduction in maintenance costs as well as lifetime extension. The search for a low-cost health monitoring system that is able to detect small levels of damage is still on-going. The present study is one more step in this direction. This paper describes a data fusion technique by combining the information for robust damage detection using the electromechanical impedance (EMI) method. The EMI method is commonly used for damage detection due to its sensitivity to low levels of damage. In this paper, the information of resistance (R) and conductance (G) is studied in a selected frequency band and a novel data fusion approach is proposed. A novel fused parameter (F) is developed by combining the information from G and R. The difference in the new metric under different damage conditions is then quantified using established indices such as the root mean square deviation (RMSD) index, mean absolute percentage deviation (MAPD), and root mean square deviation using k-th state as the reference (RMSDk). The paper presents an application of the new metric for detection of damage in three structures, namely, a thin aluminum (Al) plate with increasing damage severity (simulated with a drilled hole of increasing size), a glass fiber reinforced polymer (GFRP) composite beam with increasing delamination and another GFRP plate with impact-induced damage scenarios. Based on the experimental results, it is apparent that the variable F increases the robustness of the damage detection as compared to the quantities R and G.

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Modified electromechanical impedance-based disbond monitoring for honeycomb sandwich composite structure

Cited by 36 publications

References 38 publications

Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

Health Monitoring of Metallic Structures with Electromechanical Impedance and Piezoelectric Sensors

Monitoring of Fatigue Crack Propagation by Damage Index of Ultrasonic Guided Waves Calculated by Various Acoustic Features

A Variable Data Fusion Approach for Electromechanical Impedance-Based Damage Detection

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