Propagation Characteristics of Ultrasonic Guided Wave in Damage Detection of Rail

2011 ◽  
Vol 4 (8) ◽  
pp. 2933-2940 ◽  
Author(s):  
Zhenhua Song ◽  
Zhihua Wang ◽  
Hongwei Ma
Author(s):  
HYUNSEONG LEE ◽  
GUOYI LI ◽  
ADITI CHATTOPADHYAY ◽  
RAJESH KUMAR NEERUKATTI ◽  
KUANG C. LIU

2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Jothi Saravanan Thiyagarajan

Guided ultrasonic wave propagation characteristics in the axisymmetric prestressed viscoelastic waveguide, using the semi-analytical finite element (SAFE) method, are studied broadly for acoustic emission monitoring. For the numerical investigation, a single high strength steel wire is considered. The SAFE method for an axisymmetric cross-section in cylindrical-coordinates is utilized to analyze the two main influencing factors of steel wire in a practical scenario, namely, material damping and initial tension. For pre-stress effect, the calculation shows that the initial tensile stress can increase and decrease the energy velocity and attenuation factor of most modal waves above the cut-off frequency, which is linear.


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

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.


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