Damage detection of nonmetallic pipe by using nonlinear ultrasonic guided wave with signal delay

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

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):  
HYUNSEONG LEE ◽  
GUOYI LI ◽  
ADITI CHATTOPADHYAY ◽  
RAJESH KUMAR NEERUKATTI ◽  
KUANG C. LIU

2015 ◽  
Vol 665 ◽  
pp. 269-272 ◽  
Author(s):  
Marco Thiene ◽  
Z. Sharif-Khodaei ◽  
M.H. Aliabadi

In this work a methodology for effective positioning of sensors and actuators for damage detection and characterisation is described. The novelty of the proposed methodology is that the fitness function to be optimised does not contain probability of detection (POD) which needs to be obtained for every possible sensor combination. The proposed fitness function is to provide the maximum coverage of the structure via Lamb waves and reduce the negative effects of boundary reflections. Once the fitness function is defines, genetic algorithm (GA) is used as an optimisation strategy to result in optimal sensor positioning.


Metals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 752
Author(s):  
Jeongnam Kim ◽  
Junpil Park ◽  
Bo Zhu ◽  
Younho Cho

This work presents a non-destructive method for quantitative essessment of fatigue damage of materials with linear elastic properties using nonlinear ultrasonic techniques. A nonlinear study was conducted on these materials with fatigue and shot peening processing using a nonlinear ultrasonic technique. A numerical method based on the semi-analytical finite element (SAFE) technique, was used to obtain the phase-matching modes of the specimens. Experiments confirm that the nonlinearity for shot peening and samples with a certain level of fatigue shows a tendency to increase with levels of fatigue.


Author(s):  
Yiran Tian ◽  
Yanfeng Shen

In this study, a kind of meta-surface was designed for the improvement of nonlinear ultrasonic guided wave detection by creating bandgaps. It is composed of aluminum alloy cylinders arranged in a periodic pattern bounded on an aluminum plate. By artificially adjusting the height of the cylinders, the meta-surface can open up bandgaps over desired frequency ranges. Guided waves within the bandgap cannot propagate through the meta-surface and will be mechanically filtered out. To perform non-destructive evaluation (NDE) of structural components with fatigue cracks, the guided waves generated by a piezoelectric wafer active sensor (PWAS) propagate into the structure, interact with the crack, acquire nonlinear features, and are picked up by the receiver PWAS. In an ideal case, the waves excited by the transmitter PWAS should only contain signals at the fundamental frequency. However, due to the inherent nonlinearity of the electronic instrument, the generated signals are often mixed with weak superharmonic components. And these inherent higher harmonic signals will adversely affect the identifiability of nonlinear characteristics in the sensing signals. The bandgap mechanism and the wave vector dispersion relationship of the meta-surface are investigated using the modal analysis of a finite element model (FEM) by treating a unit structural cell with the Bloch-Floquet boundary condition. In this way, the meta-surface is carefully designed to obtain bandgaps at the desired frequency ranges. Then, a FEM harmonic analysis of a chain of unit cells is performed to further explore the bandgap efficiency. Finally, a coupled field transient dynamic FEM is constructed to simulate the improved nonlinear ultrasonic guided wave active sensing procedure with the bandgap meta-surface. The proposed method possesses great potential for future SHM and NDE applications.


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