Guided Wave Dispersion Curves Derived with a Semianalytical Finite Element Method and Its Applications to Nondestructive Inspection

2008 ◽  
Vol 47 (5) ◽  
pp. 3865-3870 ◽  
Author(s):  
Takahiro Hayashi
2014 ◽  
Vol 06 (05) ◽  
pp. 1450059 ◽  
Author(s):  
KAIGE ZHU ◽  
DAINING FANG

Dispersion curves for waveguide structures are an important prerequisite for the implementation of guided wave-based nondestructive evaluation (NDE) approach. Although many methods exist, each method is only applicable to a certain type of structures, and also requires complex programming. A Bloch theorem-based finite element method (FEM) is proposed to obtain dispersion curves for arbitrary waveguides using commercial finite element software in this paper Dispersion curves can be obtained for a variety of structures, such as homogeneous plates, multilayered structures, finite cross section rods and honeycomb sandwiches. The propagation of guided waves in honeycomb sandwich plates and beams are discussed in detail. Then, dispersion curves for honeycomb sandwich beams are verified by experiments.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Guodong Yue ◽  
Xiushi Cui ◽  
Ke Zhang ◽  
Zhan Wang ◽  
Dong An

In order to monitor the rail base, the dispersion characteristics and propagation properties of the guided wave are studied. Firstly, two modes named as Modes V1 and V2 are selected by the semianalytical finite element method (SAFE). The region at the bottom edge can be monitored by Mode V1, while the junction of the base edge and the flange can be detected by Mode V2. Then, the characteristics in the propagation process are analyzed using the finite element method (FEM). The two modes can be separated about 0.6 ms after they are excited. Thirdly, a wave attenuation algorithm based on mean is proposed to quantify the wave attenuation. Both waves can have weak attenuation and be detected within 5 m. Finally, a mode-identified experiment is performed to validate the aforementioned analysis. And a defect detection experiment is performed to demonstrate the excellent monitoring characteristics using Mode V2. These results can be used to monitor the rail base in practice engineering.


2007 ◽  
Vol 95 (8) ◽  
pp. 1624-1640 ◽  
Author(s):  
Jason A. Deibel ◽  
Matthew Escarra ◽  
Nicholas Berndsen ◽  
Kanglin Wang ◽  
Daniel M. Mittleman

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