A pattern matching identification method of cracks on cantilever beams through their bending modes measured by magnetoelastic sensors

Samourgkanidis, Georgios; Kouzoudis, Dimitris

doi:10.1016/j.tafmec.2019.102266

Cited by 15 publications

(19 citation statements)

References 29 publications

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“…(b) Moreover, in an earlier study [28], the sensor is forced to vibrate longitudinally while our experiment is in the plain bending vibration mode. In this mode, it was observed in the previous work with single aluminum bars as cantilevers [25,26] that the first n = 1 and n = 2 peaks were very weak compared to the higher peaks.…”

Section: Natural Frequenciesmentioning

confidence: 74%

“…The anneal temperature was chosen to be below the alloy's Curie temperature of 353 °C (refer to Table 2). For the Metglas attachment on the beam, the double sticky tape was selected in place of epoxy resin since (a) it worked well in the previous work [25,26] and (b) it provided a uniform attachment across the Metglas ribbons without leading to local stresses due to non-uniformity that a badly spread resin can cause during the curing. Similarly, it has a uniform thickness down to the sub-millimeter range, while it would be extremely difficult to create a resin spread of such a small and uniform thickness.…”

Section: Methodsmentioning

confidence: 99%

“…Following a similar route, our group has been a pioneer in the usage of magneto-elastic ribbons for identifying and localizing the cracks in metal cantilevers [25,26] by recording the shift of their harmonics under bending vibrations. Magnetoelasticity is the change in the magnetic state of these materials due to the application of mechanical stress on them [27].…”

Section: Introductionmentioning

confidence: 99%

“…As shown earlier [25,26], the produced signal from an aluminum cantilever with Metglas ribbons on it can be Fourier-analyzed to produce the spectrum of the bending modes of the beam when it is subject to bending excitations. This is a unique signature of the mechanical health of this structure, and its recording is of paramount importance in damage detection.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Contactless Detection of Natural Bending Frequencies using Embedded Metallic-Glass Ribbons inside Plastic Beams made of 3-D Printing

Kouzoudis¹,

Samourgkanidis²,

Tapeinos³

2020

RPM

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In the current work, to identify the bending mode harmonics, 30 microns thin magnetoelastic ribbons made of metallic glass are embedded inside 6 mm thick PLA plastic cantilever beams made by 3-D printing. This is possible because the ribbons are of magnetoelastic nature and thus change their mechanical state inducing a corresponding change in their magnetic state. The ribbons are placed at four different depths, starting with zero depth at the beam’s external surface all the way inside to the beam’s mid-plane. This technique is capable of detecting seven harmonics, and remarkably, these frequencies remain the same within a marginal error of 1% for all the depths. The amplitude of the modes drops with the increase in depth but is still strong enough, except at the midplane, to be used as a sensing signal. The harmonics spectrum is the unique signature of the structure’s state; this is a proof of concept that in a contactless fashion, the embedded ribbons provide useful information about the mechanical health of a structure.

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Section: Natural Frequenciesmentioning

confidence: 74%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Contactless Detection of Natural Bending Frequencies using Embedded Metallic-Glass Ribbons inside Plastic Beams made of 3-D Printing

Kouzoudis¹,

Samourgkanidis²,

Tapeinos³

2020

RPM

Self Cite

View full text Add to dashboard Cite

show abstract

“…This detection principle has also been used in a recent study [26], which features a similar operational and testing concept to that proposed in the current work, but for the important detail of the magnetoelastic sensing material being attached onto (rather than integrated within) the structure. Due to this critical difference, two main issues must be dealt with, namely the possibility of recording meaningful (with respect to noise) electrical signals from the built-in strips despite their contact-less reception, and the potential of diagnosing damage using such signals.…”

Section: Introductionmentioning

confidence: 99%

Inducing Damage Diagnosis Capabilities in Carbon Fiber Reinforced Polymer Composites by Magnetoelastic Sensor Integration via 3D Printing

2020

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This study investigates the possibility of inducing damage diagnosis capabilities in carbon fiber reinforced polymer composite slabs using custom-built integrated sensors and conventional, affordable equipment. The concept utilizes magnetoelastic strips integrated via 3D printing procedures in composite slabs. Under external mechanical loading, the strip magnetization changes due to the magnetoelastic phenomenon. Accordingly, electrical signals may be passively induced in conventional reception coil circuits placed at a distance from the slab. Since these signals quantify the vibrating slab’s response, which is affected by the slab’s structural integrity, damage may be detected when specific signal characteristics change. Two main issues are examined, namely the ability of receiving meaningful (with respect to noise) electrical signals from the built-in strips despite their contact-less passive reception, and the potential of diagnosing damage using such signals. Hence, slabs of various sizes and levels of structural damage (notches) have been vibrated at different frequencies and amplitudes. Treating the experimental data from integrated strips by applying the proposed processing framework allows for calculating eigenfrequencies sensitive to occurring damage (and its severity), as verified by finite element models of the vibrating slabs. Accordingly, damage may be detected and evaluated via the currently proposed experimental testing and analysis framework.

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Structural damage identification based on pattern matching using the flexibility change rate

Nie

Chen

Xia

et al. 2023

Earthquake Engineering and Resilience

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In this paper, a rapid identification method for postearthquake structural damage is proposed based on pattern matching using the flexibility change rate. In the first stage, a small number of dynamic signals are collected for extracting the modal information, which is used as a reference for model updating. Using the updated finite element model of the structure to be monitored, the characteristic vector of the flexibility change rate is calculated by modal analysis from the first two orders of modal information of various damage scenarios to establish a pattern database. For the real structure, the measured responses are used to identify the modal parameters to calculate the flexibility change rate characteristic vector, which is treated as the observed pattern. Then, the similarity between the observed pattern and the pattern in the pattern database is calculated using the Euclidean distance (ED). The damage location and severity of the measured structure are treated to be the same as the pattern corresponding to the minimum value of ED, so that the damage is identified. Numerical simulations and experiments of two types of concentrated mass structures, four floors, and six floors confirm that the proposed method can identify the damage well. In addition, the matching results based on different sensor combinations demonstrate that the method can quickly identify the damage location and severity of a structure even using a limited number of sensors. The proposed method can provide support for the government in rapid postearthquake emergency decision-making.flexibility change rate, model updating, pattern matching, rapid damage identification | INTRODUCTIONEarthquakes represent one of the most common natural disasters in the world, and have been extensively researched in the past decades. Seismic research has gradually led to three major work systems: earthquake monitoring and forecasting, earthquake disaster defense, and earthquake emergency rescue. The timeliness of structural postearthquake safety assessment is the primary consideration for emergency rescue. Research on the rapid

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A pattern matching identification method of cracks on cantilever beams through their bending modes measured by magnetoelastic sensors

Cited by 15 publications

References 29 publications

Contactless Detection of Natural Bending Frequencies using Embedded Metallic-Glass Ribbons inside Plastic Beams made of 3-D Printing

Contactless Detection of Natural Bending Frequencies using Embedded Metallic-Glass Ribbons inside Plastic Beams made of 3-D Printing

Inducing Damage Diagnosis Capabilities in Carbon Fiber Reinforced Polymer Composites by Magnetoelastic Sensor Integration via 3D Printing

Structural damage identification based on pattern matching using the flexibility change rate

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