Spatial resolution improvement for Lamb wave-based damage detection using frequency dependency compensation

Zeng, Lijiang; Lin, Jing; Bao, Jingjing; Joseph, Roshan; Huang, Liping

doi:10.1016/j.jsv.2017.01.031

Cited by 17 publications

(9 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In recent years, the ultrasonic guided waves (UGW) are used in many industrial fields and applications due to possibility to detect defects and delaminations and to evaluate their parameters in large structures. By analyzing the amplitude or variation of propagation velocity of these waves, the non-homogeneities which may be available on objects with various geometries and properties can be detected [1]- [9]. Therefore, guided wave inspection is a convenient tool for the evaluation of the non-homogeneities in composite materials owing to sensitivity of propagation velocity to the material surface and internal defects and capability to propagate long distances with reasonable attenuation [10]- [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

et al. 2020

View full text Add to dashboard Cite

The work presents the metrological evaluation of the modified hybrid spectrum decomposition and zero-crossing technique. The presented technique enables to reconstruct the phase velocity dispersion curve part of Lamb wave modes using only two signals. This is set to consequently simplify the of complex guided wave signals analysis. Experimentally measured asymmetric A 0 mode Lamb wave signals propagating in 4 mm thickness non-homogeneous Glass Fibre Reinforced Plastic (GFRP) plate are used for assessment of the proposed technique. The phase velocity dispersion curve (DC) segments are obtained using three different filter bandwidths as reference using the DC obtained by the semi-analytical finite element method SAFE. The proposed technique quantitative and qualitative characteristics are presented. Using this technique and employing various band-pass filters it is shown that the DC segments are reconstructed in approximately 50%-88% bandwidth of the incident signal frequency spectrum. The average of the calculated expanded uncertainties for all filter bandwidths is equal to approximately 2%. The narrower filter bandwidth has produced smaller systematic errors equal to 1.8%, yielding to wider reconstructed dispersion curve segments.

show abstract

Section: Introductionmentioning

confidence: 99%

“…As the different frequency components propagate with different velocities after some distance they are concentrated in different UGW signal parts in the time domain [23]. This leads to the change of the waveform, elongation in time and reduction of the amplitude [1], [24], [25].…”

Section: Introductionmentioning

confidence: 99%

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

et al. 2020

View full text Add to dashboard Cite

show abstract

“…It can be found that the shape of the reconstructed signal is the same as that of the time reversed original signal when the transfer function is independent of frequency. Transfer function is frequency dependent [ 33 ], so a narrowband input signal is usually used to enhance time reversal progress [ 23 ].…”

Section: A Virtual Time Reversal Methodsmentioning

confidence: 99%

Preload Monitoring of Bolted L-Shaped Lap Joints Using Virtual Time Reversal Method

et al. 2018

Sensors

View full text Add to dashboard Cite

L-shaped bolt lap joints are commonly used in aerospace and civil structures. However, bolt joints are frequently subjected to loosening, and this has a significant effect on the safety and reliability of these structures. Therefore, bolt preload monitoring is very important, especially at the early stage of loosening. In this paper, a virtual time reversal guided wave method is presented to monitor preload of bolted L-shaped lap joints accurately and simply. In this method, a referenced reemitting signal (RRS) is extracted from the bolted structure in fully tightened condition. Then the RRS is utilized as the excitation signal for the bolted structure in loosening states, and the normalized peak amplitude of refocused wave packet is used as the tightness index (TIA). The proposed method is experimentally validated by L-shaped bolt joints with single and multiple bolts. Moreover, the selections of guided wave frequency and tightness index are also discussed. The results demonstrate that the relationship between TIA and bolt preload is linear. The detection sensitivity is improved significantly compared with time reversal (TR) method, particularly when bolt loosening is at its embryo stage. The results also show that TR method is an effective method for detection of the number of loosening bolts.

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

Spatial resolution improvement for Lamb wave-based damage detection using frequency dependency compensation

Cited by 17 publications

References 28 publications

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

Metrological Performance of Hybrid Measurement Technique Applied for the Lamb Waves Phase Velocity Dispersion Evaluation

Preload Monitoring of Bolted L-Shaped Lap Joints Using Virtual Time Reversal Method

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

Contact Info

Product

Resources

About