Z. Su, L. Cheng, X. Wang, L. Yu, and C. Zhou, Predicting delamination of composite laminates using an imaging approach, Smart Materials and Structures, vol.18, issue.7, p.74002, 2009.
DOI : 10.1088/0964-1726/18/7/074002

Z. Su and L. Ye, Identification of damage using Lamb waves, 2009.
DOI : 10.1007/978-1-84882-784-4

C. Pruell, J. Kim, J. Qu, and J. L. Jacobs, Evaluation of fatigue damage using nonlinear guided waves, Smart Materials and Structures, vol.18, issue.3, p.35003, 2009.
DOI : 10.1088/0964-1726/18/3/035003

Y. Xiang, M. Deng, F. Xuan, and C. Liu, Experimental study of thermal degradation in ferritic Cr???Ni alloy steel plates using nonlinear Lamb waves, NDT & E International, vol.44, issue.8, pp.768-774, 2011.
DOI : 10.1016/j.ndteint.2011.08.005

I. Solodov, J. Wackerl, K. Pfleiderer, and G. Busse, Nonlinear self-modulation and subharmonic acoustic spectroscopyfor damage detection and location, Applied Physics Letters, vol.84, issue.26, pp.5386-5388, 2004.
DOI : 10.1063/1.1767283

F. Aymerich and W. J. Staszewski, Experimental Study of Impact-Damage Detection in Composite Laminates using a Cross-Modulation Vibro-Acoustic Technique, Structural Health Monitoring, vol.9, issue.6, pp.541-553, 2010.
DOI : 10.1177/1475921710365433

K. Jhang, Nonlinear ultrasonic techniques for nondestructive assessment of micro damage in material: A review, International Journal of Precision Engineering and Manufacturing, vol.41, issue.3, pp.123-135, 2009.
DOI : 10.1007/s12541-009-0019-y

C. Zhou, M. Hong, Z. Su, Q. Wang, and L. Cheng, Evaluation of fatigue cracks using nonlinearities of acoustoultrasonic waves acquired by an active sensor network, Smart Mater. Struct, vol.22, p.15015, 2013.

Z. Su, C. Zhou, M. Hong, L. Cheng, Q. Wang et al., Acousto-ultrasonics-based fatigue damage characterization: Linear versus nonlinear signal features, Mechanical Systems and Signal Processing, vol.45, issue.1, pp.225-239, 2014.
DOI : 10.1016/j.ymssp.2013.10.017

C. Zhou, Z. Su, and L. Cheng, Probability-based diagnostic imaging using hybrid features extracted from ultrasonic Lamb wave signals, Smart Materials and Structures, vol.20, issue.12, p.125005, 2011.
DOI : 10.1088/0964-1726/20/12/125005

Y. Shen and V. Giurgiutiu, Predictive modeling of nonlinear wave propagation for structural health monitoring with piezoelectric wafer active sensors, Journal of Intelligent Material Systems and Structures, vol.323, issue.3, pp.506-520, 2014.
DOI : 10.1177/1045389x13486712

D. Broda, W. J. Staszewski, A. Martowicz, T. Uhl, and V. V. Silberschmidt, Modelling of nonlinear crack???wave interactions for damage detection based on ultrasound???A review, Journal of Sound and Vibration, vol.333, issue.4, pp.1097-1118, 2014.
DOI : 10.1016/j.jsv.2013.09.033

M. Hong, Z. Su, Q. Wang, L. Cheng, and X. Qing, Modeling nonlinearities of ultrasonic waves for fatigue damage characterization: Theory, simulation, and experimental validation, Ultrasonics, vol.54, issue.3, pp.770-778
DOI : 10.1016/j.ultras.2013.09.023