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A Numerical Investigation of Lamb Wave Damage Diagnosis for Composite Delamination Using Instantaneous Phase
Abstract:This paper presents a study of Lamb wave damage diagnosis of composite delamination using instantaneous phase data. Numerical experiments are performed using the finite element method. Different sizes of delamination damages are modeled using finite element package ABAQUS. Lamb wave excitation and responses data are obtained using a pitch-catch configuration. Empirical mode decomposition is employed to extract the intrinsic mode functions (IMF). Hilbert–Huang Transform is applied to each of the resulting IMFs to obtain the instantaneous phase information. The baseline data for healthy plates are also generated using the same procedure. The size of delamination is correlated with the instantaneous phase change for damage diagnosis. It is observed that the unwrapped instantaneous phase of shows a consistent behavior with the increasing delamination size.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1474505Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 260
 Jones, R.M.. Mechanics of composite materials. CRC press; 1998.
 Su, Z., Ye, L., Bu, X.. A damage identification technique for cf/ep composite laminates using distributed piezoelectric transducers. Composite Structures 2002;57(1):465–471.
 Samaratunga, D., Jha, R., Gopalakrishnan, S.. Wave propagation analysis in adhesively bonded composite joints using the wavelet spectral finite element method. Composite Structures 2015;122:271–283.
 He, J., Guan, X., Peng, T., Liu, Y., Saxena, A., Celaya, J., et al. A multi-feature integration method for fatigue crack detection and crack length estimation in riveted lap joints using lamb waves. Smart Materials and Structures 2013;22(10):105007.
 Hong, M., Su, Z., Lu, Y., Sohn, H., Qing, X.. Locating fatigue damage using temporal signal features of nonlinear lamb waves. Mechanical Systems and Signal Processing 2015;60:182–197.
 Shen, Y., Giurgiutiu, V.. Simulation of interaction between lamb waves and cracks for structural health monitoring with piezoelectric wafer active sensors. In: ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers; 2012, p. 615–623.
 Kunwar, A., Jha, R., Whelan, M., Janoyan, K.. Damage detection in an experimental bridge model using hilbert–huang transform of transient vibrations. Structural Control and Health Monitoring 2013;20(1):1–15.
 Huang, N.E.. Hilbert-Huang transform and its applications; vol. 16. World Scientific; 2014.
 Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., et al. The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London A: mathematical, physical and engineering sciences 1998;454(1971):903–995.
 Samaratunga, D., Wang, R., Jha, R.. Lamb wave instantaneous phase based method for quantitative level of delamination damage in composite structures. In: ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers; 2012, p. 891–895.
 Ihn, J.B., Chang, F.K.. Pitch-catch active sensing methods in structural health monitoring for aircraft structures. Structural Health Monitoring 2008;7(1):5–19.