Advanced aircraft structures are susceptible to hazardous factors such as external impact while in operation. It is crucial to establish aircraft health-monitoring technology that enables online safety status evaluation of composite structures. However, the problem of low accuracy in structural damage localization under working load persists. This study proposes a progressive research methodology that employs the innovative idea of feature-level fusion. The methodology involves active guided wave mechanism analysis, guided wave feature extraction, adaptive compensation, and precise damage localization. An improved active damage localization method oriented by passive real-time strain sensing is proposed. Verification and validation experiments fully verify the feasibility, applicability, and accuracy of the method, achieving damage localization under working load. In essence, through passive to active mapping network at its core, this study has to some extent overcome the bottleneck problem of aircraft damage localization that is unreliable under working load.
MitraMGopalakrishnanS. Guided wave based structural health monitoring: a review. Smart Mater Struct2016; 25: 053001.
2.
GiurgiutiuV. Structural health monitoring: with piezoelectric wafer active sensors. Amsterdam, Netherlands: Elsevier, 2007.
3.
Di SanteR. Fibre optic sensors for structural health monitoring of aircraft composite structures: recent advances and applications. Sensors2015; 15: 18666–18713.
4.
ArgyrisCChowdhurySZabelV, et al. Bayesian optimal sensor placement for crack identification in structures using strain measurements. Struct Control Health Monit2018; 25: e2137.
5.
FanWQiaoP. Vibration-based damage identification methods: a review and comparative study. Struct Health Monit2011; 10: 83–111.
6.
MontalvaoDMaiaNMMRibeiroAMR. A review of vibration-based structural health monitoring with special emphasis on composite materials. Shock Vib Digest2006; 38: 295–324.
7.
ColomboLOboeDSbarufattiC, et al. Shape sensing and damage identification with iFEM on a composite structure subjected to impact damage and non-trivial boundary conditions. Mech Syst Signal Process2021; 148: 107163.
8.
CapineriLBullettiA. Ultrasonic guided-waves sensors and integrated structural health monitoring systems for impact detection and localization: a review. Sensors2021; 21: 2929.
9.
MeiHHaiderMFJosephR, et al. Recent advances in piezoelectric wafer active sensors for structural health monitoring applications. Sensors2019; 19: 383.
10.
WilcoxPD. Omni-directional guided wave transducer arrays for the rapid inspection of large areas of plate structures. IEEE Trans Ultrason Ferroelectr Freq control2003; 50: 699-709.
11.
HolfordKMEatonMJHensmanJJ, et al. A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: an overview. Prog Aerosp Sci2017; 90: 1–11.
12.
WangCHRoseJTChangF-K. A synthetic time-reversal imaging method for structural health monitoring. Smart Mater Struct2004; 13: 415.
13.
MichaelsJE. Detection, localization and characterization of damage in plates with an in situ array of spatially distributed ultrasonic sensors. Smart Mater Struct2008; 17: 035035.
14.
IhnJ-BChangF-K. Pitch-catch active sensing methods in structural health monitoring for aircraft structures. Struct Health Monit2008; 7: 5–19.
15.
QingXPBeardSJKumarA, et al. Advances in the development of built-in diagnostic system for filament wound composite structures. Compos Sci Technol2006; 66: 1694–1702.
16.
WangLYuanF. Damage identification in a composite plate using prestack reverse-time migration technique. Struct Health Monit2005; 4: 195–211.
17.
WuZQingXPChangF-K. Damage detection for composite laminate plates with a distributed hybrid PZT/FBG sensor network. J Intell Mater Syst Struct2009; 20: 1069–1077.
18.
YanFRoyerRLJrRoseJL. Ultrasonic guided wave imaging techniques in structural health monitoring. J Intell Mater Syst Struct2010; 21: 377–384.
19.
ChoiYAbbasSHLeeJ-R. Aircraft integrated structural health monitoring using lasers, piezoelectricity, and fiber optics. Measurement2018; 125: 294–302.
20.
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: 1208.
21.
WangDYeLSuZ, et al. Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates. Struct Health Monit2010; 9: 133–144.
22.
ParkHWKimSBSohnH. Understanding a time reversal process in Lamb wave propagation. Wave Motion2009; 46: 451–467.
23.
DingXWangXLiY, et al. Two-step damage identification method for composite laminates using distributed piezoelectric and strain sensors. Struct Control Health Monit2022; 29: e2913.
24.
GorginRLuoYWuZ. Environmental and operational conditions effects on lamb wave based structural health monitoring systems: a review. Ultrasonics2020; 105: 106114.
25.
KonstantinidisGDrinkwaterBWWilcoxPD. The temperature stability of guided wave structural health monitoring systems. Smart Mater Struct2006; 15: 967.
26.
KonstantinidisGWilcoxPDDrinkwaterBW. An investigation into the temperature stability of a guided wave structural health monitoring system using permanently attached sensors. IEEE Sens J2007; 7: 905–912.
27.
HarleyJBMouraJMF. Scale transform signal processing for optimal ultrasonic temperature compensation. IEEE Trans Ultrason Ferroelectr Freq Control2012; 59: 2226.
28.
LiuGXiaoYHuaZ, et al. Baseline signal reconstruction for temperature compensation in lamb wave-based damage detection. Sensors (Basel, Switzerland)2016; 16: 1273.
29.
HallJSMJ. E. Minimum variance ultrasonic imaging applied to an in situ sparse guided wave array. IEEE Trans Ultrason Ferroelectr Freq Control2010; 57: 2311.
30.
SalmanpourMSSharif KhodaeiZAliabadiMH. Guided wave temperature correction methods in structural health monitoring. J Intell Mater Syst Struct2017; 28: 604-618.
31.
OstiguyPCLe DuffAQuaegebeurN, et al. In situ characterization technique to increase robustness of imaging approaches in structural health monitoring using guided waves. Struct Health Monit2014; 13: 525–536.
32.
SunHYiJXuY, et al. Identification and compensation technique of non-uniform temperature field for lamb wave-and multiple sensors-based damage detection. Sensors2019; 19: 2930.
33.
LiDShiMXuF, et al. A new approach to guided wave ray tomography for temperature-robust damage detection using piezoelectric sensors. Sensors2018; 18: 3518.
34.
QiangWShenfangY. Baseline-free imaging method based on new PZT sensor arrangements. J Intell Mater Syst Struct2009; 20: 1663–1673.
35.
LeeSJGandhiNHallJS, et al. Baseline-free guided wave imaging via adaptive source removal. Struct Health Monit2012; 11: 472–481.
36.
HuanQLiF. A baseline-free SH wave sparse array system for structural health monitoring. Smart Mater Struct2019; 28: 105010.
37.
RenYQiuLYuanS, et al. Gaussian mixture model-based path-synthesis accumulation imaging of guided wave for damage monitoring of aircraft composite structures under temperature variation. Struct Health Monit2019; 18: 284–302.
38.
RenYQiuLYuanS, et al. Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions. Mech Syst Signal Process2020; 135: 106390.
AlbakriMIMalladiVSTarazagaPA. Low-frequency acoustoelastic-based stress state characterization: theory and experimental validation. Mech Syst Signal Process2018; 112: 417–429.
41.
ShiWLiJZhaoB, et al. A baseline-free stress monitoring strategy based on acoustoelastic Lamb waves using PWAS array. Struct Health Monit2023; 22(3): 1745–1759.
42.
MichaelsJEMichaelsTEMartinRS. Analysis of global ultrasonic sensor data from a full scale wing panel test. [J]. Rev Prog Quant NDE2009; 28: 950–957.
43.
ChenFWilcoxPD. The effect of load on guided wave propagation. Ultrasonics2007; 47: 111–122.
44.
DuanWGanT-H. Investigation of guided wave properties of anisotropic composite laminates using a semi-analytical finite element method. Composites, Part B2019; 173: 106898.
45.
QiuLYanXLinX, et al. Multiphysics simulation method of lamb wave propagation with piezoelectric transducers under load condition. Chin J Aeronaut2019; 32: 1071–1086.
46.
RoySLadpliPChangF-K. Load monitoring and compensation strategies for guided-waves based structural health monitoring using piezoelectric transducers. J Sound Vib2015; 351: 206–220.
47.
ZhuYLiFBaoW. Fatigue crack detection under the vibration condition based on ultrasonic guided waves. Struct Health Monit2021; 20: 931–941.
48.
WangYWangGWuD, et al. An improved matching pursuit-based temperature and load compensation method for ultrasonic guided wave signals. IEEE Access2020; 8: 67530–67541.
49.
DingXWangXYuY, et al. Adaptive guided wave-based damage identification under unknown load conditions. Struct Health Monit2023; 22: 78–104.
50.
LiuHLiuSChenX, et al. Coupled Lamb waves propagation along the direction of non-principal symmetry axes in pre-stressed anisotropic composite lamina. Wave Motion2020; 97: 102591.
51.
BiotMA. Mechanics of incremental deformations. US: John Wiley & Sons, 1965.
52.
CunfuHHongyeLZenghuaL, et al. The propagation of coupled Lamb waves in multilayered arbitrary anisotropic composite laminates. J Sound Vib2013; 332: 7243–7256.
53.
MaseGWongTJohnsonG. Acoustoelasticity in layered composites. J Eng Mater Technol1990; 112: 266–270.
54.
RoySLonkarKJanapatiV, et al. A novel physics-based temperature compensation model for structural health monitoring using ultrasonic guided waves. Struct Health Monit2014; 13: 321–342.
55.
KangL-HLeeD-OHanJ-H. A measurement method for piezoelectric material properties under longitudinal compressive stress: a compression test method for thin piezoelectric materials. Meas Sci Technol2011; 22: 065701.
56.
LynchCS. The effect of uniaxial stress on the electro-mechanical response of 8/65/35 PLZT. Acta Mater1996; 44: 4137–4148.
57.
CrawleyEFLazarusKB. Induced strain actuation of isotropic and anisotropic plates. AIAA J1991; 29: 944–951.
58.
DragomiretskiyKZossoD. Variational mode decomposition. IEEE Trans Signal Process2013; 62: 531–544.
59.
DingXWangXChenW. Sequential quantification strategy of delamination in composite laminate via collaborative active and passive monitoring. Mech Syst Signal Process2022; 166: 108458.
60.
JMJ. The LM algorithm: implementation and theory. Lect Notes Math1977; 630: 105–116.
