Vibration-Based Structural Health Monitoring – Concepts and Applications

Fritzen, Claus‐Peter

doi:10.4028/www.scientific.net/kem.293-294.3

Cited by 81 publications

(31 citation statements)

References 36 publications

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“…[1] "The damage is defined as changes to the material and/or geometric properties of these systems, including changes to the boundary conditions and system connectivity, which adversely affect the current or future performance of these systems." [1] To detect the damage and to monitor the health of the structure, numerous sensing and methodology paradigms have been developed in recent years including fibre optic sensors, [2,3] active and passive acoustic sensors, [4][5][6] microelectromechanical systems (MEMS), [7] wireless sensor systems, [8] vibration-based method, [9] and the electromechanical impedance spectroscopy (EMIS) method. [10][11][12] However, a quick foray into the technical literature reveals that very few references are dedicated to space applications of Structure Health Monitoring technologies.…”

Section: State Of the Artmentioning

confidence: 99%

“…To detect the damage and to monitor the health of the structure, numerous sensing and methodology paradigms have been developed in recent years including fibre optic sensors, active and passive acoustic sensors, microelectromechanical systems (MEMS), wireless sensor systems, vibration‐based method, and the electromechanical impedance spectroscopy (EMIS) method . However, a quick foray into the technical literature reveals that very few references are dedicated to space applications of Structure Health Monitoring technologies .…”

Section: Introductionmentioning

confidence: 99%

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New results concerning structural health monitoring technology qualification for transfer to space vehicles

Enciu

Ursu

Toader

2017

Struct. Control Health Monit.

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This article reports the results of recent complex tests on the survival, in view of space applications, of structural health monitoring (SHM) methodology that uses piezo wafer active sensors (PWAS) and the electromechanical impedance spectroscopy (EMIS) method. Successive and then concomitant actions of the harsh conditions of outer space, including extreme temperatures and radiation, were simulated in a laboratory. The basis of the method consists in the fact that the real part of the bonded PWAS impedance spectrum, the so‐called EMIS structure signature, follows the resonance behaviour of the structure vibrating under the PWAS excitation and, consequently, the onset and progress of structural damage with fidelity. The tests were conducted on the PWAS separately and aluminium discs with PWAS bonded on them as structural specimens. The conclusion of the tests is that the cumulative impact of severe conditions of temperature and radiation did not result in the decommissioning of the sensors or adhesive, which would have meant that the methodology was compromised. This conclusion occurs as a result of applying two new analysis methods to EMIS signatures. The first method, based on systematic observation of EMIS signatures during tests, makes it possible to distinguish between real damage with a mechanical origin and false damage, which is reversible and caused by the harsh environmental factors. A second method, based on the concept of entropy, shows how to identify mechanical damage at a certain distance from the PWAS. Moreover, an offline analysis of the EMIS “entropy” signatures supports the conclusion that the SHM technology survived the harsh environmental conditions.

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Section: State Of the Artmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

New results concerning structural health monitoring technology qualification for transfer to space vehicles

Enciu

Ursu

Toader

2017

Struct. Control Health Monit.

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“…Since the sensor packaging and the application of the sensor are not the scopes of this paper, we use strain gauges for collecting the data. Moreover, many approaches for vibration-based SHM [21][22][23] including mathematical criteria for sensor positioning [24], as well as FBG approaches, are already explored, whereas, for SGs, the authors could find only a few publications. For example, in [25][26][27], SHM is applied with SGs, but either the sensor positioning method is not mentioned or the authors state that the sensors should be placed close to the expected crack initiation spot.…”

Section: Introductionmentioning

confidence: 99%

Crack Detection Zones: Computation and Validation

Pfingstl

Steiner

Tusch

et al. 2020

Sensors

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During the development of aerospace structures, typically many fatigue tests are conducted. During these tests, much effort is put into inspections in order to detect the onset of failure before complete failure. Strain sensor data may be used to reduce inspection effort. For this, a sufficient number of sensors need to be positioned appropriately to collect the relevant data. In order to minimize cost and effort associated with sensor positioning, the method proposed here aims at minimizing the number of necessary strain sensors while positioning them such that fatigue-induced damage can still be detected before complete failure. A suitable detection criterion is established as the relative change of strain amplitudes under cyclic loading. Then, the space of all possible crack lengths is explored. The regions where the detection criterion is satisfied before complete failure occurs are assembled into so-called detection zones. One sensor in this zone is sufficient to detect criticality. The applicability of the approach is demonstrated on a representative airplane structure that resembles a lower wing section. The method shows that four fatigue critical spots can be monitored using only one strain sensor in a non-intuitive position. Furthermore, we discuss two different strain measures for crack detection. The results of this paper can be used for reliable structural health monitoring using a minimum number of sensors.

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“…Several approaches have been developed to extract information from the measured vibrational characteristics of structures, which fall in a category well known as ''vibration-based structural health monitoring (SHM)'' [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. These methods essentially utilize natural frequencies and mode shapes acquired from different types of physical sensors such as accelerometers.…”

Section: Introductionmentioning

confidence: 99%

Eulerian-based virtual visual sensors to detect natural frequencies of structures

Shariati

Schumacher

Ramanna

2015

J Civil Struct Health Monit

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Natural frequency of vibration data are often used to study the behavior of structures. They are also used to calibrate finite element models and some studies have proposed that the presence and location of damage can be estimated using these data. Along this line, we earlier proposed the concept of Eulerian-based virtual visual sensors to estimate natural frequencies of structural vibrations based on the change of pixel intensity captured in a digital video. Benefits of this approach are that it allows for distributed sensing and is contactless. However, as intensity does not reflect any physical quantity, such as displacement, and the range of values is difficult to control, the signal-to-noise ratio (SNR) can be relatively low. Furthermore, impulsive changes of intensity caused by large deformations compared to the pixel size can result in an impulse train in the frequency domain which leads to ambiguity in determining peak frequencies. As a result, it is often only possible to estimate the first fundamental mode of vibration. In this paper, we present strategies using targets mounted to the structure combined with signal processing methods that significantly improve the SNR and allow for detecting higher natural frequencies of vibration. The concepts, their mathematical background, laboratory tests to prove the accuracy and enhancement of SNR, as well as an example of an in-service pedestrian bridge are presented and discussed.

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Vibration-Based Structural Health Monitoring – Concepts and Applications

Cited by 81 publications

References 36 publications

New results concerning structural health monitoring technology qualification for transfer to space vehicles

New results concerning structural health monitoring technology qualification for transfer to space vehicles

Crack Detection Zones: Computation and Validation

Eulerian-based virtual visual sensors to detect natural frequencies of structures

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