Nonlinear Lamb Wave Imaging for Low Energy Impact Damage of CFRP Laminates

doi:10.3901/JME.2023.10.040

Abstract

Abstract: A nonlinear Lamb wave imaging detection method is proposed to solve the problem that the linear ultrasonic response characteristics of low-energy impact damage of carbon fiber reinforced polymer(CFRP) laminates are very weak and difficult to be used for damage's detection. The testing platform is constructed, and the test samples with different impact damage are prepared. The anisotropic propagation characteristics and modal structure of the Lamb wave in the CFRP laminates are analyzed to excite the mode that meets the detection requirements, moreover, the characterization ability of relatively nonlinear coefficients on low-energy impact damage are investigated. The scanning method for imagery is proposed, and the imaging algorithm based on the damage index is optimized to enhance the imaging effect. The research results indicated that the relative non-linear coefficient has high detection sensitivity for low-energy impact damage in CFRP laminates, and the intuitive imaging detection of low-energy impact damage of CFRP laminates can be achieved by the nonlinear Lamb wave imaging method based on damage index.

Key words: nonlinear Lamb wave, CFRP laminates, relative nonlinear coefficient, impact damage, imaging algorithm

CLC Number:

O343

XU Guochen, CHEN Zhenhua, LI Chenggeng, LU Chao. Nonlinear Lamb Wave Imaging for Low Energy Impact Damage of CFRP Laminates[J]. Journal of Mechanical Engineering, 2023, 59(10): 40-47.

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