A novel structural health monitoring approach consisting of guided ultrasonic waves, acoustic emission, and digital image correlation, as well as real-time and postmortem analyses, was implemented to monitor and quantify crack growth in Al 2024 compact tension specimens, designed, and precracked according to ASTM E647-08. Tensile loads were applied according to ASTM E1290-08. Guided ultrasonic waves were generated with pulses centered at three different frequencies and were recorded using piezoelectric transducers. Guided ultrasonic waves were also modeled using finite element wave propagation models. The same transducers were further used for online acoustic emission monitoring. A digital image correlation system continuously monitored the crack growth and provided full-field surface strains. The application of this integrated structural health monitoring approach resulted in reliable damage detection and quantified crack growth measurements. In addition, a novelty detector based on the Mahalanobis distance was implemented in a data fusion scheme to assess the extent of damage. The reported results constitute a proof-of-concept investigation of a novel structural health monitoring approach based on the combination of real-time optical and acoustic nondestructive testing.
Abanto-BuenoJLambrosJ (2002) Investigation of crack growth in functionally graded materials using digital image correlation. Engineering Fracture Mechanics69: 1695–1711.
2.
AggelisDGKordatosEZMatikasTE (2011) Acoustic emission for fatigue damage characterization in metal plates. Mechanics Research Communications38: 106–110.
3.
AlleyneDNCawleyP (1996) The excitation of Lamb waves in pipes using dry-coupled piezoelectric transducers. Journal of Nondestructive Evaluation15(1): 11–20.
4.
BartoliISalamoneSPhillipsR. (2011) Use of interwire ultrasonic leakage to quantify loss of prestress in multiwire tendons. Journal of Engineering Mechanics-ASCE137: 324–333.
5.
BassimMM (1992) Detection of fatigue crack propagation with acoustic emission. NDT & E International25(6): 287–289.
6.
BassimMNSt LawrenceSLiuCD. (1994) Detection of the onset of fatigue crack growth in rail steels using acoustic emission. Engineering Fracture Mechanics47(2): 207–214.
7.
BerkovitsAFangD (1995) Study of fatigue crack characteristics by acoustic emission. Engineering Fracture Mechanics51(3): 401–416.
8.
BernasconiACarboniMComolliL. (2011) Monitoring of fatigue crack growth in composite adhesively bonded joints using fiber Bragg gratings. Procedia Engineering10: 207–212.
9.
BolotinVVShipkovAA (2001) Mechanical aspects of corrosion fatigue and stress corrosion cracking. International Journal of Solids and Structures38: 7297–7318.
10.
BuiloSI (2006) Correlation between acoustic emission parameters of a growing crack, the stress intensity factor, and the type of stressed state. Russian Journal of Nondestructive Testing42(3): 181–184.
11.
CanalLPGonzálezCMolina-AldareguíaJM. (2011) Application of digital image correlation at the microscale in fiber-reinforced composites. Composites Part A-Applied Science and Manufacturing (In Press).
12.
CocciaSBartoliIMarzaniA. (2011) Numerical and experimental study of guided waves for detection of defects in the rail head. NDT & E International44(1): 93–100.
13.
FarrarCRWordenK (2007) An introduction to structural health monitoring. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences365: 303–315.
14.
FrommePSayirMB (2002) Detection of cracks at rivet holes using guided waves. Ultrasonics40: 199–203.
15.
GraffKF (1991) Wave Motion in Elastic Solids. New York: Dover Publications Inc.
16.
KostopoulosVLoutasTHKontsosA. (2003) On the identification of the failure mechanisms in oxide/oxide composites using acoustic emission. NDT & E International36: 571–580.
17.
Lanza DiscaleaFMattHBartoliI. (2007) Health monitoring of UAV wing skin-to-spar joints using guided waves and macro fiber composite transducers. Journal of Intelligent Material Systems and Structures18(4): 373–388.
18.
LeanderJAnderssonAKaroumiR (2010) Monitoring and enhanced fatigue evaluation of a steel railway bridge. Engineering Structures32: 854–863.
19.
LiCXTangXSXiangGB. (2010) Fatigue crack growth of cable steel wires in a suspension bridge: multiscaling and mesoscopic fracture mechanics. Theoretical and Applied Fracture Mechanics53: 113–126.
20.
McCormickNLordJ (2010) Digital image correlation. Materials Today13(12): 52–54.
21.
MalesaMSzczepanekDKujawińskaM. (2010) Monitoring of civil engineering structures using digital image correlation technique. EPJ Web of Conferences6: 8 pp.
22.
MaslouhiA (2011) Fatigue crack growth monitoring in aluminum using acoustic emission and acousto-ultrasonic methods. Structural Control & Health Monitoring18: 790–806
23.
MasounaveJLanteigneJBassimMN. (1976) Acoustic emission and fracture of ductile materials. Engineering Fracture Mechanics8: 701–709.
24.
MathieuFHildFRouxS (2012) Identification of a crack propagation law by digital image correlation. International Journal of Fatigue36: 146–154.
25.
MustaphaFMansonGPierceSG. (2005) Structural health monitoring of an annular component using a statistical approach. Strain41: 117–127.
26.
NourpanahNTaheriF (2011) Ductile crack growth and constraint in pipelines subject to combined loadings. Engineering Fracture Mechanics78: 2010–2028.
27.
ParkGSohnHFarrarCR. (2003) Overview of piezoelectric impedance-based health monitoring and path forward. The Shock and Vibration Digest35(6): 451–463.
28.
ParkSLeeJ-JYunC-B. (2008) Electro-mechanical impedance-based wireless structural health monitoring using PCA-data compression and k-means clustering algorithms. Journal of Intelligent Material Systems and Structures19: 509.
29.
PopOMeiteMDuboisF. (2011) Identification algorithm for fracture parameters by combining DIC and FEM approaches. International Journal of Fracture170: 101–114.
30.
RizosPFAspragathosNDimarogonasAD (1990) Identification of crack location and magnitude in a cantilever beam from the vibration modes. Journal of Sound and Vibration138(3): 381–388.
31.
RizzoPSorriviELanza DiscaleaF. (2007) Wavelet-based outlier analysis for guided wave structural monitoring: application to multi-wire strands. Journal of Sound and Vibration307: 52–68.
32.
RobertsTMTalebzadehM (2003) Acoustic emission monitoring of fatigue crack propagation. Journal of Constructional Steel Research59: 695–712.
33.
RokhlinSIKimJ-Y (2003) In situ ultrasonic measurement of crack closure. International Journal of Fatigue25: 51–58.
34.
RoseJL (1999) Ultrasonic Waves in Solid Media. Cambridge: Cambridge University Press.
35.
RouxSRéthoréJHildF (2009) Digital image correlation and fracture: an advanced technique for estimating stress intensity factors of 2D and 3D cracks. Journal of Physics D-Applied Physics42: 214004.
36.
ShenBPaulinoGH (2011) Direct extraction of cohesive fracture properties from digital image correlation: a hybrid inverse technique. Experimental Mechanics51: 143–163.
37.
SohnHFarrarCRHunterNF. (2001) Structural health monitoring using statistical pattern recognition techniques. Journal of Dynamic Systems Measurement and Control-Transactions of the ASME123: 706–711.
38.
UchidaHYamashitaMInoueS. (2001) In-situ observations of crack nucleation and growth during stress corrosion by scanning vibrating electrode technique. Materials Science and Engineering A-Structural Materials Properties Microstructure and Processing 319–321: 496–500.
39.
Van der WalderKBrockenbroughJRCraigBA. (2005) Multiple fatigue crack growth in pre-corroded 2024-T3 aluminum. International Journal of Fatigue27: 1509–1518.
40.
VanlanduitSVanherzeeleJLongoR. (2009) A digital image correlation method for fatigue test experiments. Optics and Lasers in Engineering47: 371–378.
WordenKMansonGFiellerNRJ (2000) Damage detection using outlier analysis. Journal of Sound and Vibration229: 647–667.
43.
YangI-J (1994) An impedance technique for monitoring crack propagation. Materials Chemistry and Physics39: 47–52.
44.
YoneyamaSKitagawaAIwataS. (2007) Bridge deflection measurement using digital image correlation. Experimental Techniques31: 34–40.
45.
YuJZiehlPZárateB. (2011) Prediction of fatigue crack growth in steel bridge components using acoustic emission. Journal of Constructional Steel Research67: 1254–1260.
