Damage Detection by Piezoelectric Patches in a Free Vibration Method

Xu, Jian; Tzou, H. S.; Lissenden, Cliff J.; Penn, Lynn S.

doi:10.1177/002199839703100402

Cited by 32 publications

(15 citation statements)

References 18 publications

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“…Examples include aerospace/aircraft structures [27,28], robot manipulators [29], vibration controls and isolations, high-precision devices, microsensors/actuators, thin-film MEMS [30], health monitoring [31], microdisplacement actuation and control [25], and so on. Additional applications in smart structures and structronic systems encompass distributed structural control [16,[32][33][34][35][36], rotor dynamics control [37], self-sensing actuators [38][39][40], orthogonal modal sensors/actuators [41][42][43], space truss members [44], noise control [45], vibration isolators [46], active constrained damping [47], morphing of wings and blades [48], microscopic neural-sensing and actuation characteristics of conical, paraboloidal, toroidal and spherical structronic shells [49][50][51][52][53][54][55], and so on.…”

Section: Piezoelectric Materialsmentioning

confidence: 99%

Smart Materials, Precision Sensors/Actuators, Smart Structures, and Structronic Systems

Tzou

Lee

Arnold

2004

Mechanics of Advanced Materials and Structures

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172

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Many electroactive functional materials have been used in small-and microscale transducers and precision mechatronic control systems for years. It was not until the mid-1980s that scientists started integrating electroactive materials with large-scale structures as in situ sensors and/or actuators, thus introducing the concept of smart materials, smart structures, and structronic systems. This paper provides an overview of present smart materials and their sensor/actuator/structure applications. Fundamental multifield optomagnetopiezoelectric-thermoelastic behaviors and novel transducer technologies applied to complex multifield problems involving elastic, electric, temperature, magnetic, light, and other interactions are emphasized. Material histories, characteristics, material varieties, limitations, sensor/actuator/structure applications, and so forth of piezoelectrics, shape-memory materials, electro-and magnetostrictive materials, electro-and magnetorheological fluids, polyelectrolyte gels, superconductors, pyroelectrics, photostrictive materials, photoferroelectrics, magneto-optical materials, and so forth are thoroughly reviewed. INTRODUCTIONThe concepts of smart, intelligent, and adaptive materials and structures originated in the mid-1980s in an attempt to describe the newly emerging research area of integrating electroactive functional materials into large-scale structures as in situ sensors and actuators. Previously, electroactive materials had only been used in small-and microscale transducers and precision mechatronic (mechanical + electronic) control systems. The general perception of smart, intelligent, and adaptive materials or structures implies an ability to be clever, sharp, active, fashionable, and sophisticated. However, in reality, materials or structures can never achieve true intelligence or reasoning without the addition of artificial intelligence

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Section: Piezoelectric Materialsmentioning

confidence: 99%

Smart Materials, Precision Sensors/Actuators, Smart Structures, and Structronic Systems

Tzou

Lee

Arnold

2004

Mechanics of Advanced Materials and Structures

Self Cite

172

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“…Accelerometers have been commonly used to measure real-time acceleration of structures caused by vibration [Peeters et al 2001;Hong et al 2002;Kim and Melhem 2004;Lin et al 2005]. There is also extensive work in the literature which considers the use of PZTs to monitor vibration [Banks et al 1996;Jian et al 1997;Soh et al 2000;Winston et al 2001;Fukunaga et al 2002;Giurgiutiu et al 2002]. Among conventional sensors in SHM, PZTs have the advantages of being small, light, inexpensive, and self-excited with the further benefits of having a high signal to noise ratios and being easily integrated into structures.…”

Section: Introductionmentioning

confidence: 99%

A novel application of a laser Doppler vibrometer in a health monitoring system

Rezaei

Taheri‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

2010

JOMMS

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This paper presents the results of an experimental study of the applicability of the laser Doppler vibrometer (LDV) as a potential measurement tool for structural health monitoring in pipelines. In this case, use of the LDV has been integrated into a novel damage detection method referred to as the empirical mode decomposition (EMD) energy damage index. This method involves monitoring the free vibrations of a pipe through sensors, followed by decomposition of the sensor generated signals using EMD, and subsequently comparing an energy term of the pipe in its healthy state to that of the same pipe in a damaged state. In the experiment, a single beam LDV was utilized to acquire the vibration of a cantilever steel pipe impacted by an impulse hammer. Three cases were studied: pipes with a single half-circumferential damage, a single full-circumferential damage, and with multiple circumferential damages. The integrity of the LDV results was verified by comparison with those obtained from piezoceramic sensors bonded to the pipe surface. The results confirmed the effectiveness of the LDV and its integration into the proposed EMD damage index for identifying and locating single and multiple damages. Compared to piezoceramic sensors, the LDV, as a remote and accurate optical measurement system, provided more satisfactory identification of single and multiple damages and can therefore be successfully utilized in structural health monitoring.

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“…Numerous experimental and theoretical studies of damage detection through modal analysis have been reported. Representative examples include Adams et al [1], Cawley and Adams [2], Armon et al [3], Swamidas and Chen [4], Papadopoulos and Garcia [5], and Jian et al [6]. Common vibration-based damage metrics measure changes in modal parameters, such as natural frequencies, mode shapes or mode shape curvature or some combination of frequency and mode shape information.…”

Section: Introductionmentioning

confidence: 99%

Localization of damage and restoration of dynamic characteristics using distributed control

Zhou

Fang

2007

SPIE Proceedings

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It is well known that vibration-based damage detection methods lack sensitivity in modal frequencies to small changes in mass, stiffness, and damping parameters induced by damage. To circumvent this deficiency, in this paper a scheme through feedback control together with coherence method is first employed to enhance sensitivity the occurrence and location of damage through few of the lower natural frequencies. This sensitivity enhancement is based on pole placement from a single-point feedback control to compute the control gains. Relying on a priori knowledge of how certain damage scenarios affect modal properties, a coherence method correlates measured and predicted modal frequency shifts for a given set of damage scenarios to locate the damage. Numerical results show that the method with closed-loop control increases both the accuracy of locating damage and the ability to tolerate environmental noise. Subsequent to the fine sensitivity to locating the damage position, restoration to original dynamic structural performance in terms of few of the lower natural frequencies of the damaged structure is conducted by the feedback control using distributed actuation surrounding the damage area (multi-point control). Simulation results show that the dynamic characteristics of damaged structures can be successfully restored by applying distributed actuation that can be induced from the voltage by the distributed piezoelectric actuators.

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Damage Detection by Piezoelectric Patches in a Free Vibration Method

Cited by 32 publications

References 18 publications

Smart Materials, Precision Sensors/Actuators, Smart Structures, and Structronic Systems

Smart Materials, Precision Sensors/Actuators, Smart Structures, and Structronic Systems

A novel application of a laser Doppler vibrometer in a health monitoring system

Localization of damage and restoration of dynamic characteristics using distributed control

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