A Lamb wave signal reconstruction method for high-resolution damage imaging
|
摘要
In Lamb wave-based Structural Health Monitoring(SHM), a high-enough spatial resolution is highly required for Lamb wave signals to ensure the resolution and accuracy of damage detection. However, besides the dispersion characteristic, the signal spatial resolution is also largely restricted by the space duration of excitation waveforms, i.e., the Initial Spatial Resolution(ISR)for the signals before travelling. To resolve the problem of inferior signal spatial resolution of Lamb waves, a Lamb Wave Signal Reconstruction(LWSR) method is presented and applied for highresolution damage imaging in this paper. In LWSR, not only a new linearly-dispersive signal is reconstructed from an original Lamb wave signal, but also the group velocity at the central frequency is sufficiently decreased. Then, both dispersion compensation and ISR improvement can be realized to achieve a satisfying signal spatial resolution. After the frequency domain sensing model and spatial resolution of Lamb wave signals are firstly analyzed, the basic idea and numerical realization of LWSR are discussed. Numerical simulations are also implemented to preliminarily validate LWSR. Subsequently, LWSR-based high-resolution damage imaging is developed. An experiment of adjacent multiple damage identification is finally conducted to demonstrate the efficiency of LWSR and LWSR-based imaging methods.
In Lamb wave-based Structural Health Monitoring(SHM), a high-enough spatial resolution is highly required for Lamb wave signals to ensure the resolution and accuracy of damage detection. However, besides the dispersion characteristic, the signal spatial resolution is also largely restricted by the space duration of excitation waveforms, i.e., the Initial Spatial Resolution(ISR)for the signals before travelling. To resolve the problem of inferior signal spatial resolution of Lamb waves, a Lamb Wave Signal Reconstruction(LWSR) method is presented and applied for highresolution damage imaging in this paper. In LWSR, not only a new linearly-dispersive signal is reconstructed from an original Lamb wave signal, but also the group velocity at the central frequency is sufficiently decreased. Then, both dispersion compensation and ISR improvement can be realized to achieve a satisfying signal spatial resolution. After the frequency domain sensing model and spatial resolution of Lamb wave signals are firstly analyzed, the basic idea and numerical realization of LWSR are discussed. Numerical simulations are also implemented to preliminarily validate LWSR. Subsequently, LWSR-based high-resolution damage imaging is developed. An experiment of adjacent multiple damage identification is finally conducted to demonstrate the efficiency of LWSR and LWSR-based imaging methods.
In Lamb wave-based Structural Health Monitoring(SHM), a high-enough spatial resolution is highly required for Lamb wave signals to ensure the resolution and accuracy of damage detection. However, besides the dispersion characteristic, the signal spatial resolution is also largely restricted by the space duration of excitation waveforms, i.e., the Initial Spatial Resolution(ISR)for the signals before travelling. To resolve the problem of inferior signal spatial resolution of Lamb waves, a Lamb Wave Signal Reconstruction(LWSR) method is presented and applied for highresolution damage imaging in this paper. In LWSR, not only a new linearly-dispersive signal is reconstructed from an original Lamb wave signal, but also the group velocity at the central frequency is sufficiently decreased. Then, both dispersion compensation and ISR improvement can be realized to achieve a satisfying signal spatial resolution. After the frequency domain sensing model and spatial resolution of Lamb wave signals are firstly analyzed, the basic idea and numerical realization of LWSR are discussed. Numerical simulations are also implemented to preliminarily validate LWSR. Subsequently, LWSR-based high-resolution damage imaging is developed. An experiment of adjacent multiple damage identification is finally conducted to demonstrate the efficiency of LWSR and LWSR-based imaging methods.
引文
1.Yuan SF,Chen J,Yang WB,Qiu L.On-line crack prognosis in attachment lug using Lamb wave-deterministic resampling particle filter-based method.Smart Mater Struct 2017;26(8):085016.
2.Bhuiyan MY,Shen YF,Giurgiutiu V.Guided wave based crack detection in the rivet hole using global analytical with local FEMapproach.Materials 2016;9(7):602.
3.Qiu L,Liu B,Yuan SF,Su ZQ.Impact imaging of aircraft composite structure based on a model-independent spatialwavenumber filter.Ultrasonics 2016;64:10-24.
4.Yuan SF,Ren YQ,Qiu L,Mei HF.A multi-response-based wireless impact monitoring network for aircraft composite structures.IEEE T Ind Election 2016;63(12):7712-22.
5.Hong M,Su ZQ,Lu Y,Sohn H,Qing XP.Locating fatigue damage using temporal signal features of nonlinear Lamb waves.Mech Syst Signal Process 2015;60-61:182-97.
6.Qiu L,Yuan SF,Chang FK,Bao Q,Mei HF.On-line updating Gaussian mixture model for aircraft wing spar damage evaluation under time-varying boundary condition.Smart Mater Struct2014;23(12):125001.
7.Wilcox PD,Lowe MJS,Cawley P.The effect of dispersion on long-range inspection using ultrasonic guided waves.NDT&E Int2001;34(1):1-9.
8.Park HW,Kim SB,Sohn H.Understanding a time reversal process in Lamb wave propagation.Wave Mot 2009;46(7):451-67.
9.Cai J,Shi LH,Yuan SF,Shao ZX.High spatial resolution imaging for structural health monitoring based on virtual time reversal.Smart Mater Struct 2011;20(5):55018-28.
10.Wilcox PD.A rapid signal processing technique to remove the effect of dispersion from guided wave signals.IEEE Trans Ultrason Ferroelectr 2003;50(4):419-27.
11.Prado VT,Higuti RT,Kitano C,Martinez-Graullera O,Adamowski JC.Lamb mode diversity imaging for non-destructive testing of plate-like structures.NDT&E Int 2013;59(7):86-95.
12.Yu L,Tian ZH.Guided wave phased array beamforming and imaging in composite plates.Ultrasonics 2016;68:43-53.
13.Grabowski K,Gawronski M,Baran I,Spychalski WL,Staszewski T,Uhl T,et al.Time-distance domain transformation for acoustic emission source localization in thin metallic plates.Ultrasonics2016;68:142-9.
14.Cai J,Shi LH,Qing XP.A time-distance domain transform method for Lamb wave dispersion compensation considering signal waveform correction.Smart Mater Struct 2013;22(11):105024.
15.Luo Z,Zeng L,Lin J,Hua JD.A reshaped excitation regenerating and mapping method for waveform correction in Lamb waves dispersion compensation.Smart Mater Struct 2017;26(2):025016.
16.Liu L,Yuan FG.A linear mapping technique for dispersion removal of Lamb waves.Struct Health Monit 2010;9(1):75-86.
17.Cai J,Yuan SF,Qing XP,Chang F,Shi LH,Qiu L.Linearly dispersive signal construction of Lamb waves with measured relative wavenumber curves.Sens Actuators A 2015;221:41-52.
18.Cai J,Yuan SF,Wang TG.Signal construction-based dispersion compensation of Lamb waves considering signal waveform and amplitude spectrum preservation.Materials 2017;10(1):4.
19.Marchi LD,Marzani A,Miniaci M.A dispersion compensation procedure to extend pulse-echo defects location to irregular waveguides.NDT&E Int 2013;54(3):115-22.
20.Fu SC,Shi LH,Zhou YH,Cai J.Dispersion compensation in Lamb wave defect detection with step-pulse excitation and warped frequency transform.IEEE Trans Ultrason Ferroelectr 2014;61(12):2075-88.
21.Marchi LD,Perelli A,Marzani A.A signal processing approach to exploit chirp excitation in Lamb wave defect detection and localization procedures.Mech Syst Signal Process 2013;39(1-2):20-31.
22.Lin J,Hua JD,Zeng L,Luo Z.Excitation waveform design for Lamb wave pulse compression.IEEE Trans Ultrason Ferroelectr2016;63(1):165-77.
23.Malo S,Fateri S,Livadas M,Mares C,Gan T.Wave mode discrimination of coded ultrasonic guided waves using twodimensional compressed pulse analysis.IEEE Trans Ultrason Ferroelectr 2017;64(7):1092-101.
2.Bhuiyan MY,Shen YF,Giurgiutiu V.Guided wave based crack detection in the rivet hole using global analytical with local FEMapproach.Materials 2016;9(7):602.
3.Qiu L,Liu B,Yuan SF,Su ZQ.Impact imaging of aircraft composite structure based on a model-independent spatialwavenumber filter.Ultrasonics 2016;64:10-24.
4.Yuan SF,Ren YQ,Qiu L,Mei HF.A multi-response-based wireless impact monitoring network for aircraft composite structures.IEEE T Ind Election 2016;63(12):7712-22.
5.Hong M,Su ZQ,Lu Y,Sohn H,Qing XP.Locating fatigue damage using temporal signal features of nonlinear Lamb waves.Mech Syst Signal Process 2015;60-61:182-97.
6.Qiu L,Yuan SF,Chang FK,Bao Q,Mei HF.On-line updating Gaussian mixture model for aircraft wing spar damage evaluation under time-varying boundary condition.Smart Mater Struct2014;23(12):125001.
7.Wilcox PD,Lowe MJS,Cawley P.The effect of dispersion on long-range inspection using ultrasonic guided waves.NDT&E Int2001;34(1):1-9.
8.Park HW,Kim SB,Sohn H.Understanding a time reversal process in Lamb wave propagation.Wave Mot 2009;46(7):451-67.
9.Cai J,Shi LH,Yuan SF,Shao ZX.High spatial resolution imaging for structural health monitoring based on virtual time reversal.Smart Mater Struct 2011;20(5):55018-28.
10.Wilcox PD.A rapid signal processing technique to remove the effect of dispersion from guided wave signals.IEEE Trans Ultrason Ferroelectr 2003;50(4):419-27.
11.Prado VT,Higuti RT,Kitano C,Martinez-Graullera O,Adamowski JC.Lamb mode diversity imaging for non-destructive testing of plate-like structures.NDT&E Int 2013;59(7):86-95.
12.Yu L,Tian ZH.Guided wave phased array beamforming and imaging in composite plates.Ultrasonics 2016;68:43-53.
13.Grabowski K,Gawronski M,Baran I,Spychalski WL,Staszewski T,Uhl T,et al.Time-distance domain transformation for acoustic emission source localization in thin metallic plates.Ultrasonics2016;68:142-9.
14.Cai J,Shi LH,Qing XP.A time-distance domain transform method for Lamb wave dispersion compensation considering signal waveform correction.Smart Mater Struct 2013;22(11):105024.
15.Luo Z,Zeng L,Lin J,Hua JD.A reshaped excitation regenerating and mapping method for waveform correction in Lamb waves dispersion compensation.Smart Mater Struct 2017;26(2):025016.
16.Liu L,Yuan FG.A linear mapping technique for dispersion removal of Lamb waves.Struct Health Monit 2010;9(1):75-86.
17.Cai J,Yuan SF,Qing XP,Chang F,Shi LH,Qiu L.Linearly dispersive signal construction of Lamb waves with measured relative wavenumber curves.Sens Actuators A 2015;221:41-52.
18.Cai J,Yuan SF,Wang TG.Signal construction-based dispersion compensation of Lamb waves considering signal waveform and amplitude spectrum preservation.Materials 2017;10(1):4.
19.Marchi LD,Marzani A,Miniaci M.A dispersion compensation procedure to extend pulse-echo defects location to irregular waveguides.NDT&E Int 2013;54(3):115-22.
20.Fu SC,Shi LH,Zhou YH,Cai J.Dispersion compensation in Lamb wave defect detection with step-pulse excitation and warped frequency transform.IEEE Trans Ultrason Ferroelectr 2014;61(12):2075-88.
21.Marchi LD,Perelli A,Marzani A.A signal processing approach to exploit chirp excitation in Lamb wave defect detection and localization procedures.Mech Syst Signal Process 2013;39(1-2):20-31.
22.Lin J,Hua JD,Zeng L,Luo Z.Excitation waveform design for Lamb wave pulse compression.IEEE Trans Ultrason Ferroelectr2016;63(1):165-77.
23.Malo S,Fateri S,Livadas M,Mares C,Gan T.Wave mode discrimination of coded ultrasonic guided waves using twodimensional compressed pulse analysis.IEEE Trans Ultrason Ferroelectr 2017;64(7):1092-101.