Barely visible impact damage is one of the most common types of damage in carbon-fibre-reinforced polymer composite structures. This article investigates the potential of using ultrasonic guided Lamb waves to characterise the through thickness severity of barely visible impact damage in thin carbon-fibre-reinforced polymer structures. In the first step, a laser Doppler vibrometer was used to capture the full damage interaction of the wavefield excited by a piezoelectric actuator. Damage-scattered wavefield for four different severities were studied to find the best parameters for characterising the severity of damage. To reduce the overall acquisition time and size of data collected using the laser Doppler vibrometer, the measured signals were reconstructed from a singular broadband chirp response using a post-processing algorithm. From the full wavefield analysis obtained at a wide range of toneburst frequencies, the results showed that barely visible impact damage severity could be characterised using ultrasonic guided Lamb waves and that the mode, dominant at lower frequencies, gave better results than the mode. In the second step, the parameters for characterising the damage severity were applied to a sparse network of transducers as an in-service structural health monitoring methodology. The damage was successfully detected and located. In addition, the transducer path close to the predicted damage location was utilised to successfully quantify the damage severity based on the proposed damage index.
GiurgiutiuV. Structural health monitoring with piezoelectric wafer active sensors. Boston, MA: Academic Press, 2008.
2.
RytterA. Vibrational based inspection of civil engineering structures. PhD Thesis, Department of Building Technology and Structural Engineering, Aalborg University, Aalborg, 1993.
3.
StaszewskiWBollerCTomlinsonG. Health monitoring of aerospace structures. Chichester: John Wiley & Sons, 2004.
4.
MichaelsJMichaelsT. Guided wave signal processing and image fusion for in situ damage localization in plates (Special issue of selected papers presented at the international symposium on mechanical waves in solids). Wave Motion2007; 44(6): 482–492, http://www.sciencedirect.com/science/article/pii/S0165212507000212
FlynnEToddMWilcoxP, et al. Maximum-likelihood estimation of damage location in guided-wave structural health monitoring. P Roy Soc Lond A: Mat2011; 467: 2575–2596.
7.
HallJMcKeonPSatyanarayanL, et al. Minimum variance guided wave imaging in a quasi-isotropic composite plate. Smart Mater Struct2011; 20(2): 025013.
8.
MollJTorres-ArredondoMFritzenC. Computational aspects of guided wave based damage localization algorithms in flat anisotropic structures. Smart Mater Struct2012; 10: 229–251.
9.
KijankaPManoharALanza di ScaleaF, et al. Damage location by ultrasonic Lamb waves and piezoelectric rosettes. J Intel Mat Syst Str2014; 26: 1477–1490.
10.
JarmerGFlynnEToddM. Multi-wave-mode, multi-frequency detectors for guided wave interrogation of plate structures. Smart Mater Struct2013; 13: 120–130.
11.
HeJYuanF. Damage identification for composite structures using a cross-correlation reverse-time migration technique. Smart Mater Struct2015; 14(6): 558–570.
12.
MitraMGopalakrishnanS. Guided wave based structural health monitoring: a review. Smart Mater Struct2016; 25(5): 053001.
13.
SuZYeL. Identification of damage using Lamb waves: from fundamentals to applications (Lecture notes in applied and computational mechanics). London: Springer, 2009.
14.
TorkamaniSRoySBarkeyM, et al. A novel damage index for damage identification using guided waves with application in laminated composites. Smart Mater Struct2014; 23(9): 095015.
15.
HuangLZengLLinJ, et al. An improved time reversal method for diagnostics of composite plates using Lamb waves. Compos Struct2018; 190: 10–19.
16.
ZhaoXGaoHZhangG, et al. Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I – defect detection, localization and growth monitoring. Smart Mater Struct2007; 16(4): 1208, http://stacks.iop.org/0964-1726/16/i=4/a=032
17.
LiuZZhongXDongT, et al. Delamination detection in composite plates by synthesizing time-reversed Lamb waves and a modified damage imaging algorithm based on rapid. Struct Control Hlth2017; 24(5): e1919.
18.
MichaelsJE. Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors. Smart Mater Struct2008; 17(3): 035035, http://stacks.iop.org/0964-1726/17/i=3/a=035035
19.
Sharif KhodaeiZAliabadiM. Assessment of delay-and-sum algorithms for damage detection in aluminium and composite plates. Smart Mater Struct2014; 23(7): 075007, http://stacks.iop.org/0964–1726/23/i=7/a=075007
20.
SalmanpourMSharif KhodaeiZAliabadiM. Guided wave temperature correction methods in structural health monitoring. J Intel Mat Syst Str2017; 28(5): 604–618.
21.
LuGLiYWangT, et al. A multi-delay-and-sum imaging algorithm for damage detection using piezoceramic transducers. J Intel Mat Syst Str2017; 28(9): 1150–1159.
22.
ZengLHuangLLinJ. Damage imaging of composite structures using multipath scattering Lamb waves. Compos Struct2019; 216: 331–339.
23.
IhnJChangF. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: I – diagnostics. Smart Mater Struct2004; 13(3): 609.
24.
IhnJChangF. Detection and monitoring of hidden fatigue crack growth using a built-in piezoelectric sensor/actuator network: II – validation using riveted joints and repair patches. Smart Mater Struct2004; 13(3): 621.
25.
MemmoloVMonacoEBoffaN, et al. Guided wave propagation and scattering for structural health monitoring of stiffened composites. Compos Struct2018; 184: 568–580.
26.
PillarisettiLTalrejaR. On quantifying damage severity in composite materials by an ultrasonic method. Compos Struct2019; 216: 213–221.
27.
StaszewskiWLeeBMalletL, et al. Structural health monitoring using scanning laser vibrometry: I – Lamb wave sensing. Smart Mater Struct2004; 13(2): 251.
28.
MalletLLeeBCStaszewskiWJ. Structural health monitoring using scanning laser vibrometry: II – Lamb waves for damage detection. Smart Mater Struct2004; 13(2): 261, http://stacks.iop.org/0964-1726/13/i=2/a=003
29.
LeongWStaszewskiWLeeB, et al. Structural health monitoring using scanning laser vibrometry: III – Lamb waves for fatigue crack detection. Smart Mater Struct2005; 14(6): 1387.
30.
StaszewskiWbin JenalRKlepkaA, et al. A review of laser Doppler vibrometry for structural health monitoring applications (Structural health monitoring II). Key Eng Mat2012; 518: 1–15.
31.
RuzzeneMJeongSMichaelsT, et al. Simulation and measurement of ultrasonic waves in elastic plates using laser vibrometry. AIP Conf Proc2005; 760(1): 172–179.
32.
KudelaPRadzieskiMOstachowiczW. Identification of cracks in thin-walled structures by means of wavenumber filtering. Mech Syst Signal Pr2015; 50–51: 456–466.
33.
ZakARadzienskiMKrawczukM, et al. Damage detection strategies based on propagation of guided elastic waves. Smart Mater Struct2012; 21(3): 035024, http://stacks.iop.org/0964-1726/21/i=3/a=035024
RoggeMDLeckeyCA. Characterization of impact damage in composite laminates using guided wavefield imaging and local wavenumber domain analysis. Ultrasonics2013; 53(7): 1217–1226.
36.
ChiaCLeeJParkC, et al. Laser ultrasonic anomalous wave propagation imaging method with adjacent wave subtraction: application to actual damages in composite wing. Opt Laser Technol2012; 44(2): 428–440.
37.
PieczonkaŁAmbroziskiŁStaszewskiWJ, et al. Damage detection in composite panels based on mode-converted Lamb waves sensed using 3D laser scanning vibrometer. Opt Laser Eng2017; 99: 80–87.
YuLTianZLeckeyC. Crack imaging and quantification in aluminum plates with guided wave wavenumber analysis methods. Ultrasonics2015; 62: 203–212.
40.
TianZYuLLeckeyC. Rapid guided wave delamination detection and quantification in composites using global-local sensing. Smart Mater Struct2016; 25(8): 085042.
41.
MesnilORuzzeneM. Sparse wavefield reconstruction and source detection using compressed sensing. Ultrasonics2016; 67: 94–104.
42.
DafyddISharif KhodaeiZ. Laser vibrometer imaging of delamination interaction with Lamb waves using a chirp excitation method (Advances in fracture and damage mechanics XVI). Key Eng Mat2017; 754: 375–378.
43.
DafyddISharif KhodaeiZ. Damage severity assessment in composite structures using ultrasonic guided waves with chirp excitation. In: SohnH (ed.) Proceedings SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 105980D (27 March 2018).
44.
HallJMichaelsJ. Multipath ultrasonic guided wave imaging in complex structures. Struct Health Monit2015; 14(4): 345–358.
45.
OlssonR. Analytical prediction of large mass impact damage in composite laminates. Compos Part A: Appl S2001; 32(9): 1207–1215.
CiampaFMahmoodiPPintoF, et al. Recent advances in active infrared thermography for non-destructive testing of aerospace components. Sensors2018; 18(2): E609.
WilcoxPDDaltonRPLoweMJS, et al. Mode and transducer selection for long range Lamb wave inspection. Key Eng Mat1999; 167: 152–161.
51.
MichaelsJELeeSJCroxfordAJ, et al. Chirp excitation of ultrasonic guided waves. Ultrasonics2013; 53(1): 265–270.
52.
MichaelsJELeeSJHallJS, et al. Multi-mode and multi-frequency guided wave imaging via chirp excitations. In: Proceedings SPIE 7984, Health Monitoring of Structural and Biological Systems2011, 79840I (31 March 2011).
53.
Sharif KhodaeiZAliabadiM. A multi-level decision fusion strategy for condition based maintenance of composite structures. Materials2016; 9(9): E790.
