Multi-level damage detection with nonlinear ultrasonic methods

2013 ◽  
Author(s):  
Kathryn H. Matlack ◽  
Jin-Yeon Kim ◽  
Laurence J. Jacobs ◽  
Jianmin Qu

Abstract. Micro-damages such as pores, closed delamination/debonding and fiber/matrix cracks in carbon fiber reinforced plastics (CFRP) are vital factors towards the performance of composite structures, which could collapse if defects are not detected in advance. Nonlinear ultrasonic technologies, especially ones involving guided waves, have drawn increasing attention for their better sensitivity to early damages than linear acoustic ones. The combination of nonlinear acoustics and guided waves technique can promisingly provide considerable accuracy and efficiency for damage assessment and materials characterization. Herein, numerical simulations in terms of finite element method are conducted to investigate the feasibility of micro-damage detection in multi-layered CFRP plates using the second harmonic generation (SHG) of asymmetric Lamb guided wave mode. Contact acoustic nonlinearity (CAN) is introduced into the constitutive model of micro-damages in composites, which leads to the distinct SHG compared with material nonlinearity. The results suggest that the generated second order harmonics due to CAN could be received and adopted for early damage evaluation without matching the phase of the primary waves.


Author(s):  
Matthew Webster ◽  
Kevin Farinholt ◽  
Fritz Friedersdorf ◽  
Marc Pepi ◽  
Anindya Ghoshal

2021 ◽  
Vol 118 (3) ◽  
Author(s):  
Hamad N. Alnuaimi ◽  
Saptarshi Sasmal ◽  
Umar Amjad ◽  
Arash Nikvar-Hassani ◽  
Lianyang Zhang ◽  
...  

2016 ◽  
Vol 24 (7) ◽  
pp. 1685-1693
Author(s):  
洪晓斌 HONG Xiao-bin ◽  
冯进亨 FENG Jin-heng ◽  
林沛嵩 LIN Pei-song ◽  
刘桂雄 LIU Gui-xiong

2013 ◽  
Vol 569-570 ◽  
pp. 908-915
Author(s):  
Phong B. Dao ◽  
Wieslaw Jerzy Staszewski

This paper presents an application of Lamb-wave-based damage detection under varying temperature conditions. The method used is based on the cointegration technique and wavelet analysis that are partially built on the analysis of non-stationary behaviour and multi-resolution decomposition of time series, respectively. Instead of directly using Lamb wave data for damage detection, two approaches are used: (1) analysis of cointegrating residuals obtained from the cointegration process of Lamb wave responses and (2) analysis of stationary characteristics of the multi-level wavelet decomposed cointegrating residuals. These two approaches are tested on undamaged and damaged aluminium plates exposed to temperature variations. The experimental results show that the method can isolate damage-sensitive features from the temperature effect and reliably detect damage.


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