An experimental method was developed to monitor local plasticity in metallic materials using Lamb waves. A double-edge-notched beam specimen under tensile loading was employed to induce the local plasticity in notch area. By exciting Lamb waves using actuators in two different ways, the obtained wave signals at different stress levels of the specimen were analyzed through wavelet analysis by proposing a signal index I. By virtue of the finite element analysis on the tensile behavior of the specimen, it was found that I almost kept constant under elastic deformation and rapidly increased when the local plastic deformation occurred and extended, and then stopped growing when the plastic zone was up to a certain size. Therefore, the change of I, which is attributed to the occurrence and evolution of small and local plastic zone in the notch area, can be used to effectively monitor local plasticity.
FarrarC.R. and WordenK. (2007). “An introduction to structural health monitoring”, Philosophical Transactions of the Royal Society A, Vol. 365, pp. 303–315.
2.
KulkarniS.S. and AchenbachJ.D. (2008). “Structural health monitoring and damage prognosis in fatigue”, Structural Health Monitoring: An International Journal, Vol. 7, No. 1, pp. 37–49.
3.
NagarajaiahS.DykeS.LynchJ.SmythA.AgarwalA.SymansM. and JohnsonE. (2008). “Current directions of structural health monitoring and control in USA”, Advances in Science and Technology, Vol. 56, pp. 277–286.
4.
ZhangD.BaoY.LiH. and OuJ. (2012). “Investigation of temperature effects on modal parameters of the China national aquatics center”, Advances in Structural Engineering, Vol. 15, No. 7, pp. 1139–1153.
5.
YiJ.H.KimD.GoS.KimJ.T.ParkJ.H.FengM. and KangK.S. (2012). “Application of structural health monitoring system for reliable seismic performance evaluation of infastructures”, Advances in Structural Engineering, Vol. 15, No. 6, pp. 955–967.
6.
HuN.ShimomukaiT.FukunagaH. and SuZ._(2008). “Damage identification of metallic structures using A0 mode in Lamb wave”, Structural Health Monitoring: An International Journal, Vol. 7, pp. 271–285.
7.
MaslouhiA. (2011). “Fatigue crack growth monitoring in aluminum using acoustic emission and Acousto-Ultrasonic methods”, Structural Control and Health Monitoring, Vol. 18, pp. 790–806.
8.
ChoH. and LissendenC.J. (2012). “Structural health monitoring of fatigue crack growth in plate structures with ultrasonic guided waves”, Structural Health Monitoring: An International Journal, Vol. 11, No. 4, pp. 393–404.
9.
HuN.CaiY.ZhuG.TsujiC.LiuY.Alamusi and CaoY. (2012). “Characterization of damage size in metallic plates using Lamb wave”, Structural Health Monitoring: An International Journal, Vol. 11, pp. 125–137.
10.
KesslerS.S.SpearingS.M. and SoutisC. (2002). “Damage detection in composite materials using Lamb wave methods”, Smart Materials and Structures, Vol. 11, No. 2, pp. 269–278.
11.
QuaegebeurN.MicheauP.MassonP. and MaslouhiA. (2010). “Structural health monitoring strategy for detection of interlaminar delamination in composite plates”, Smart Materials and Structures, Vol. 19, No. 8, pp. 085005.
12.
HuN.ShimomukaiT.YanC. and FukunagaH. (2008). “Identification of delamination position in cross-ply laminated composite beams using S0 Lamb mode”, Composites Science and Technology, Vol. 68, pp. 1548–1554.
13.
YanY.J. and YamL.H. (2004). “Detection of delamination damage in composite plates using energy spectrum of structural dynamic responses decomposed by wavelet analysis”, Computers and Structures, Vol. 82, No. 4–5, pp. 347–358.
14.
RitchieR.O. (1999). “Mechanisms of fatigue-crack propagation in ductile and brittle solids”, International Journal of Fracture, Vol. 100, pp. 55–83.
15.
ChanK.S. (2003). “A microstructure-based fatigue-crack-initiation model”, Metallurgical and Materials Transactions A, Vol. 34, No. 1, pp. 43–58.
16.
TruongD.V.HirakataH. and KitamuraT. (2007). “Effect of loading frequency on fatigue crack growth between a submicron-thick film and a substrate”, JSME International Journal Series A, Vol. 49, No. 3, pp. 370–375.
17.
HerrmannJ.KimJ.Y.JacobsL.J.QuJ.LittlesJ.W. and SavageM.F. (2006). “Assessment of material damage in a nickel-base superalloy using nonlinear rayleigh surface waves”, Journal of Applied Physics, Vol. 99, 124913.
18.
NagyP.B. (1998). “Fatigue damage assessment by nonlinear ultrasonic materials characterization”, Ultrasonics, Vol. 36, pp. 375–381.
19.
YuanJ. and ZhangW. (2010). “Detection of stress concentration and early plastic deformation by monitoring surface weak magnetic field change”, Proceedings of the 2010 IEEE International Conference on Mechatronics and Automation, Xi'an China, August 4–7.
20.
MostafaI.HailuS.WelschG.HazonyD. and HalfordG.R. (1997). “Detection and measurement of fatigue crack in HSLA steel with a dedicated ultrasonic pulse transmission method”, International Journal of Fracture, Vol. 85, pp. 99–109.
21.
HuN.LiJ.CaiY.YanC.ZhangY.QiuJ.SakaiK.LiuY.PengX. and YanB. (2012). “Locating delamination in composite laminated beams using the A0 Lamb mode”, Mechanics of Advanced Materials and Structures, Vol. 19, pp. 431–440.
