A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy

Tenreiro, A. Francisco G.; Lopes, António M.; Silva, Lucas F. M. da

doi:10.1177/1475921721993419

Cited by 42 publications

(26 citation statements)

References 152 publications

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“…In the past decades, the emergence of electrical inverse methods has also proven a viable approach to static condition monitoring [133,134]. This family of inversion-based modalities generally uses three different data sources, including capacitative, direct current and alternating current-based measurements.…”

Section: (B) Static Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural responses given data including external forces, geometry, member sizes, restraint, etc.—characterizing a forward problem (structural causalities → structural response). Shortly thereafter, junior engineers are introduced to structural design where they aim to, for example, select an appropriate structural form for members based on design criteria, which is the inverse of what they previously learned. Similar inverse realizations also hold true in structural health monitoring and a number of structural engineering sub-fields (response → structural causalities). In this light, we aim to demonstrate that many structural engineering sub-fields may be fundamentally or partially viewed as inverse problems and thus benefit via the rich and established methodologies from the inverse problems community. To this end, we conclude that the future of inverse problems in structural engineering is inexorably linked to engineering education and machine learning developments.

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Section: (B) Static Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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“…The most used are the visual, or optical, liquid penetrant, magnetic particle, electromagnetic, radiographic, and ultrasonic testing methods. 5,17 Out of all NDT techniques, the ultrasonic, more specifically, the LW-based ultrasonic method, revealed large possibilities of application in cutting-edge industries, namely, in the aeronautical field. This is largely due to the fact that airplanes contain thin and large areas and, thus, the ultrasonic waves can potentially analyze entire structures.…”

Section: Fundamentals Of Lamb Waves In Structural Health Monitoringmentioning

confidence: 99%

“…To accomplish this, NDT methods were devised for different engineering structures, including bonded parts. The most used are the visual, or optical, liquid penetrant, magnetic particle, electromagnetic, radiographic, and ultrasonic testing methods 5,17 …”

Section: Fundamentals Of Lamb Waves In Structural Health Monitoringmentioning

confidence: 99%

Structural health monitoring of adhesive joints using Lamb waves: A review

Ramalho

Lopes

Silva

2021

Structural Contr & Hlth

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In the past decades, Lamb waves (LW) have seen encouraging results when applied to non destructive testing (NDT) and structural health monitoring (SHM), with important research done continuously through the years in both fields. This paper is a comprehensive review on equipment, testing procedures and techniques adopted in NDT and SHM, with emphasis in applications involving SHM of adhesive joints. The fundamentals of LW and their application to damage detection are discussed, and different signal processing, statistical, machine learning and simulation methods are presented. The paper represents a basis to deepen the understanding about the problem at hand and is a thorough compilation of relevant information to future work. Although LW-based SHM methods have been heavily studied, there is a gap of few to no studies between these topics and adhesive joints, namely, for monitoring weak adhesion.

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“…The transducers are connected to multichannel EMI device with TiePie Handyscope HS5 and an PiezoDrive PD200 amplifier. From the EMI literature, it is apparent that the considered frequency range is dependent on the particular EMI application (Tenreiro et al, 2021). The range from 25 to 500 kHz considered here contains the frequencies that are also relevant in other similar studies (Lim et al, 2021; Mueller, 2017; Neuschwander et al, 2019; Soman et al, 2020).…”

Section: Setupmentioning

confidence: 99%

Detecting damage in rudder stocks under load using electro-mechanical susceptance: Frequency-warping and semi-supervised approaches

Kexel

Moll

2021

Journal of Intelligent Material Systems and Structures

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Active piezoelectric transducers are successfully deployed in recent years for structural health monitoring using guided elastic waves or electro-mechanical impedance (EMI). In both domains, damage detection can be hampered by operational/environmental conditions and low-power constraints. In both domains, processing can be divided into approaches (i) taking into account baselines of the pristine structure as reference, (ii) ingesting an extensive measurement history for clustering to explore anomalies, (iii) incorporating additional information to label a state. The latter approach requires data from complementary sensors, learning from laboratory/field experiments or knowledge from simulations which may be infeasible for complex structures. Semi-supervised approaches are thus gaining popularity: few initial annotations are needed, because labels emerge through clustering and are subsequently used for state classification. In our work, bending and combined bending/torsion studies on rudder stocks are considered regarding EMI-based damage detection in the presence of load. We discuss the underpinnings of our processing. Then, we follow strategy (i) by introducing frequency warping to derive an improved damage indicator (DI). Finally, in a semi-supervised manner, we develop simple rules which even in presence of varying loads need only two frequency points for reliable damage detection. This sparsity-enforcing low-complexity approach is particularly beneficial in energy-aware SHM scenarios.

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A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy

Cited by 42 publications

References 152 publications

Structural engineering from an inverse problems perspective

Structural engineering from an inverse problems perspective

Structural health monitoring of adhesive joints using Lamb waves: A review

Detecting damage in rudder stocks under load using electro-mechanical susceptance: Frequency-warping and semi-supervised approaches

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