Structural Health Monitoring (SHM) aims to shift aircraft maintenance from a time-based to a condition-based approach. Within all the SHM techniques, Acoustic Emission (AE) allows for the monitoring of large areas by analyzing Lamb waves propagating in plate like structures. In this study, the authors proposed a Time Reversal (TR) methodology with the aim of reconstructing an original and unaltered signal from an AE event. Although the TR method has been applied in Narrow-Band (NwB) signal reconstruction, it fails when a Broad-Band (BdB) signal, such as a real AE event, is present. Therefore, a novel methodology based on the use of a Frequencies Compensation Transfer Function (FCTF), which is capable of reconstructing both NwB and real BdB signals, is presented. The study was carried out experimentally using several sensor layouts and materials with two different AE sources: (i) a Numerically Built Broadband (NBB) signal, (ii) a Pencil Lead Break (PLB). The results were validated numerically using Abaqus/CAETM with the implementation of absorbing boundaries to minimize edge reflections.
AdlerLde BillyMQuentinG, et al. (1990) Evaluation of friction-welded aluminum-steel bonds using dispersive guided modes of a layered substrate. Journal of Applied Physics68(12): 6072–6076.
2.
AndersonBEGriffaMLarmatC, et al. (2008) Time reversal. Acoustics Today4(1): 5.
ASTM International (2010) ASTM E-976, Guide for Determining the Reproducibility of Acoustic Emission Sensor Response. West Conshohocken, PA: ASTM International.
5.
BalageasDFritzenC-PGüemesA (ed.) (2006) Structural Health Monitoring. Newport Beach, CA: ISTE.
6.
Barroso-RomeroMGagarDPantS, et al. (2019) Wave mode identification of acoustic emission signals using phase analysis. Acoustics1(2): 450–472.
7.
BenmedakheneSKenaneMBenzeggaghML (1999) Initiation and growth of delamination in glass/epoxy composites subjected to static and dynamic loading by acoustic emission monitoring. Composites Science and Technology59(2): 201–208.
8.
BhuiyanMYBaoJPoddarB, et al. (2018) Toward identifying crack-length-related resonances in acoustic emission waveforms for structural health monitoring applications. Structural Health Monitoring17(3): 577–585.
9.
BoczarTLorencM (2006) Time-frequency analysis of the calibrating signals generated in the hsu-nielsen system. Physics and Chemistry of Solid State7: 585–588.
10.
CassereauDFinkM (1992) Time-reversal of ultrasonic fields. III. Theory of the closed time-reversal cavity. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control39(5): 579–592.
11.
CawleyPAlleyneD (1996) The use of lamb waves for the long range inspection of large structures. Ultrasonics34(2–5): 287–290.
12.
DiamantiKHodgkinsonJMSoutisC (2004) Detection of low-velocity impact damage in composite plates using lamb waves. Structural Health Monitoring: An International Journal3(1): 33–41.
13.
DuneganHL (2000) An Alternative to Pencil Lead Breaks for Simulation of Acoustic Emission Signal Sources. The DECI report.
14.
DuneganHLHarrisDOTatroCA (1968) Fracture analysis by use of acoustic emission. Engineering Fracture Mechanics1(1): 105–122.
15.
FalcetelliFRomeroMBPantS, et al. (2018) Modelling of pencil-lead break acoustic emission sources using the time reversal technique. In: EWSHM 2018, Manchester, UK, 10–13July2018. NDT.net. Available at: https://www.ndt.net/article/ewshm2018/papers/0367-Falcetelli.pdf
16.
FarrarCRWordenK (2007) An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences365(1851): 303–315.
17.
FinkM (1992) Time reversal of ultrasonic fields. Basic principles. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control39(5): 555–566.
18.
FinkM (1997) Time reversed acoustics. Physics Today50(3): 34–40.
19.
GiurgiutiuV (2005) Tuned lamb wave excitation and detection with piezoelectric wafer active sensors for structural health monitoring. Journal of Intelligent Material Systems and Structures16(4): 291–305.
20.
GresilMGiurgiutiuV (2015) Prediction of attenuated guided waves propagation in carbon fiber composites using Rayleigh damping model. Journal of Intelligent Material Systems and Structures26(16): 2151–2169.
21.
HsuNNBreckenridgeFR (1981) Characterization and calibration of acoustic emission sensors. Materials Evaluation39: 60–68.
22.
IngRKFinkM (1998) Time-reversed lamb waves. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control45(4): 1032–1043.
23.
LambH (1917) On waves in an elastic plate. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character93(648): 114–128.
24.
MartinSABlackshireJL (2007) Effect of adhesive properties on elastic wave generation by bonded sensors. In: The 14th International symposium on: Smart structures and materials & nondestructive evaluation and health monitoring (ed. KJPeters), San Diego, CA, 6April2007, p.65300J.
25.
MartinezMPantSYanishevskyM, et al. (2017) Residual stress effects of a fatigue crack on guided lamb waves. Smart Materials and Structures26(11): 115004.
26.
MoserFJacobsLJQuJ (1999) Modeling elastic wave propagation in waveguides with the finite element method. NDT & E International32(4): 225–234.
27.
MoulinEAssaadJDelebarreC, et al. (2000) Modeling of integrated lamb waves generation systems using a coupled finite element–normal modes expansion method. Ultrasonics38(1–8): 522–526.
28.
MulliganKRMassonPLétourneauS, et al. (2011) An approach to compensate for the degradation of the monitoring system in damage detection. In: Smart Materials & Structures / NDT in Aerospace, Montreal, QC, Canada, 2–4November2011.
29.
PantSLaliberteJMartinezM, et al. (2014) Derivation and experimental validation of Lamb wave equations for an n-layered anisotropic composite laminate. Composite Structures111: 566–579.
30.
ParkHWKimSBSohnH (2009) Understanding a time reversal process in lamb wave propagation. Wave Motion46(7): 451–467.
31.
PettitJRWalkerACawleyP, et al. (2014) A stiffness reduction method for efficient absorption of waves at boundaries for use in commercial finite element codes. Ultrasonics54(7): 1868–1879.
PoddarBKumarAMitraM, et al. (2011) Time reversibility of a lamb wave for damage detection in a metallic plate. Smart Materials and Structures20(2): 025001.
35.
QingXPChanH-LBeardSJ, et al. (2006) Effect of adhesive on the performance of piezoelectric elements used to monitor structural health. International Journal of Adhesion and Adhesives26(8): 622–628.
36.
RobertsTMTalebzadehM (2003) Acoustic emission monitoring of fatigue crack propagation. Journal of Constructional Steel Research59(6): 695–712.
37.
RoseLRFWangCH (2004) Mindlin plate theory for damage detection: Source solutions. The Journal of the Acoustical Society of America116(1): 154–171.
38.
SauseMGR (2011) Investigation of pencil lead breaks as acoustic emission sources. Journal of Acoustic Emission29: 184–196.
39.
SohnHParkHWLawKH, et al. (2007a) Combination of a time reversal process and a consecutive outlier analysis for baseline-free damage diagnosis. Journal of Intelligent Material Systems and Structures18(4): 335–346.
40.
SohnHParkHWLawKH, et al. (2007b) Damage detection in composite plates by using an enhanced time reversal method. Journal of Aerospace Engineering20(3): 141–151.
41.
SuZYeL (2009) Identification of damage using lamb waves. In: Lecture Notes in Applied and Computational Mechanics. London: Springer.
Von HannJ (1903) Handbook of Climatology. New York; London: Macmillan.
44.
WagleSKatoH (2009) Ultrasonic detection of fretting fatigue damage at bolt joints of aluminum alloy plates. International Journal of Fatigue31(8–9): 1378–1385.
45.
WangCHRoseJTChangF-K (2003) Computerized time-reversal method for structural health monitoring. In: NDE for Health Monitoring and Diagnostics (eds GyekenyesiALShullPJ), San Diego, CA, 4August2003, p. 48.
46.
WangJShenY (2019) An enhanced lamb wave virtual time reversal technique for damage detection with transducer transfer function compensation. Smart Materials and Structures28(8): 085017.
47.
XuBGiurgiutiuV (2007) Single mode tuning effects on lamb wave time reversal with piezoelectric wafer active sensors for structural health monitoring. Journal of Nondestructive Evaluation26(2–4): 123–134.
