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High spatial resolution imaging for structural health monitoring based on virtual time reversal
91
Citations
24
References
2011
Year
Image ReconstructionHigh ResolutionEngineeringAdvanced ImagingSuper-resolution ImagingSpatial ResolutionRadiologyHealth SciencesStructural VibrationReconstruction TechniqueMedical ImagingLamb WavesStructural Health MonitoringInverse ProblemsUltrasoundMedical Image ComputingSignal ProcessingHigh-frequency MeasurementVirtual Time ReversalBiomedical ImagingHigh Spatial Resolution
Lamb waves are widely used in structural health monitoring (SHM) of plate-like structures. Due to the dispersion effect, Lamb wavepackets will be elongated and the resolution for damage identification will be strongly affected. This effect can be automatically compensated by the time reversal process (TRP). However, the time information of the compensated waves is also removed at the same time. To improve the spatial resolution of Lamb wave detection, virtual time reversal (VTR) is presented in this paper. In VTR, a changing-element excitation and reception mechanism (CERM) rather than the traditional fixed excitation and reception mechanism (FERM) is adopted for time information conservation. Furthermore, the complicated TRP procedure is replaced by simple signal operations which can make savings in the hardware cost for recording and generating the time-reversed Lamb waves. After the effects of VTR for dispersive damage scattered signals are theoretically analyzed, the realization of VTR involving the acquisition of the transfer functions of damage detecting paths under step pulse excitation is discussed. Then, a VTR-based imaging method is developed to improve the spatial resolution of the delay-and-sum imaging with a sparse piezoelectric (PZT) wafer array. Experimental validation indicates that the damage scattered wavepackets of A0 mode in an aluminum plate are partly recompressed and focalized with their time information preserved by VTR. Both the single damage and the dual adjacent damages in the plate can be clearly displayed with high spatial resolution by the proposed VTR-based imaging method.
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