Fatigue crack detection and identification by the elastic wave propagation method

Stawiarski, Adam; Barski, Marek; Pająk, Piotr

doi:10.1016/j.ymssp.2016.08.023

Cited by 34 publications

(14 citation statements)

References 14 publications

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“…In many applications of guided waves that were to detect and predict crack growth, the SHM configurations and flaw locations were fixed. Although the usefulness of guided waves was exemplified [6][7][8][9], the sensitivity of the response (detection) to the configuration was not explored. As a result of part geometry, it was not always possible to replicate the same configuration in real-world use.…”

Section: Numerical Modeling Of Shm Signalsmentioning

confidence: 99%

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

et al. 2018

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Abstract:The validation of structural health monitoring (SHM) systems for aircraft is complicated by the extent and number of factors that the SHM system must demonstrate for robust performance. Therefore, a time-and cost-efficient method for examining all of the sensitive factors must be conducted. In this paper, we demonstrate the utility of using the simulation modeling environment to determine the SHM sensitive factors that must be considered for subsequent experiments, in order to enable the SHM validation. We demonstrate this concept by examining the effect of SHM system configuration and flaw characteristics on the response of a signal from a known piezoelectric wafer active sensor (PWAS) in an aluminum plate, using simulation models of a particular hot spot. We derive the signal responses mathematically and through the statistical design of experiments, we determine the significant factors that affect the damage indices that are computed from the signal, using only half the number of runs that are normally required. We determine that the transmitter angle is the largest source of variation for the damage indices that are considered, followed by signal frequency and transmitter distance to the hot spot. These results demonstrate that the use of efficient statistical design and simulation may enable a cost-and time-efficient sequential approach to quantifying sensitive SHM factors and system validation.

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Section: Numerical Modeling Of Shm Signalsmentioning

confidence: 99%

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

et al. 2018

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“…Substituting Equations (7), (8) or (12) into Equation (3) separately, the transfer matrix of the elastic wave with different crack mode can then be deduced. Furthermore, the eigenvalues of the transfer matrix can be studied, and then the propagation characteristics of the elastic waves can be obtained.…”

Section: Considering Thatmentioning

confidence: 99%

“…The vibration of the shaft caused by the rotation or the activation from the transducers can stimulate the elastic waves, and the propagation characteristics of the which are affected by the cracks, thus, the research into the propagation characteristics can help to detect the cracks. The study of the cracks and the propagation characteristics of the elastic waves has drawn wide attention [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Crack Modes on the Elastic Wave Propagation Characteristics in a Non-Uniform Rotating Shaft

et al. 2018

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The transverse crack in a non-uniform shaft possesses different crack modes, and it can affect the propagation characteristics of the elastic waves in the shaft. The influence of the crack mode as well as the location and the depth of the crack and the rotating speed to the propagation characteristics is investigated in this paper. Firstly, the transfer matrix for the elastic wave in a non-uniform shaft is obtained by deducing the local flexibility coefficients of the three typical crack modes, in which the transverse crack is modeled as a local spring. After that, the influence of the crack mode to the propagation characteristics is studied both in a numerical and an experimental way. Finally, the influence of the location and the depth of the transverse crack as well as the rotating speed of the shaft is studied too. It is found that Mode III is the most suitable mode in this paper, the location of the crack will make the stopbands fluctuating, the depth mainly affects the bandwidth of the stopbands, and the increase of the rotating speed will shift up the stopbands without changing the bandwidths. The results can help to detect and locate a transverse crack.

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“…The vibration of the shaft can activate the elastic waves, the propagation characteristics of which are affected by the transverse cracks. The relationship between the cracks and the propagation characteristics of the elastic waves has drawn wide attention [5,6].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Crack Modes on the Elastic Wave Propagation Characteristics in a Non-uniform Rotating Shaft

Wei¹,

Shi²,

Liu³

et al. 2018

Preprint

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The vibration propagates in a media such as a shaft in the form of elastic waves. The propagation characteristics of the waves are affected by the geometry of the media, the material properties as well as the cracks. The study to elastic waves propagating in a shaft with transverse cracks can help to detect them. The transverse crack possesses different crack modes due to different external loads. The influence of the crack mode, the location and the depth to the propagation characteristics is investigated in this paper. Firstly, the local flexibility coefficients with three different modes are deduced. And then, the transfer matrix of the elastic wave can be obtained. Finally, the influence of the crack mode, the location and the depth of the transverse crack as well as the rotating speed to the propagation characteristics is then studied, both in a numerical and an experimental way. It’s found that mode III is the most suitable mode in this paper, the location of the crack will make the stopbands fluctuating, the depth mainly affects the bandwidth of the stopbands, and the increase of the rotating speed will shift up the stopbands without changing their bandwidths.

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Fatigue crack detection and identification by the elastic wave propagation method

Cited by 34 publications

References 14 publications

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

Uncertainty Evaluation in the Design of Structural Health Monitoring Systems for Damage Detection†

The Influence of Crack Modes on the Elastic Wave Propagation Characteristics in a Non-Uniform Rotating Shaft

The Influence of Crack Modes on the Elastic Wave Propagation Characteristics in a Non-uniform Rotating Shaft

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