scholarly journals Modal Analysis of Guided Waves and Its Application to Rail Inspection

2008 ◽  
Vol 2 (10) ◽  
pp. 1298-1306
Author(s):  
Takahiro HAYASHI ◽  
Keita KATAOKA ◽  
Mitsunobu TAKIKAWA
2009 ◽  
Vol 48 (7) ◽  
pp. 07GD06 ◽  
Author(s):  
Muhammad Nor Salim ◽  
Takahiro Hayashi ◽  
Morimasa Murase ◽  
Shoji Kamiya
Keyword(s):  

2017 ◽  
Vol 17 (3) ◽  
pp. 684-705 ◽  
Author(s):  
Stefano Mariani ◽  
Francesco Lanza di Scalea

A rail inspection system based on ultrasonic guided waves and non-contact (air-coupled) ultrasound transduction is under development at the University of California at San Diego. The system targets defects in the rail head that are major causes of train accidents. Because of the high acoustic impedance mismatch between air and steel, the non-contact system poses severe challenges and questions on the defect detection performance. This article presents an extensive numerical study, conducted with a local interaction simulation approach, to model the ultrasound propagation and interaction with defects in the proposed system. This model was used to predict the expected detection performance of the system in the presence of various defects of different sizes and positions, and at varying levels of signal-to-noise ratios. When possible, operating variables for the model were chosen consistently with the field test of an experimental prototype that was conducted in 2014. The defect detection performance was evaluated through the computation of receiver operating characteristic curves in terms of probability of detection versus probability of false alarms. The study indicates that despite the challenges of non-contact probing of the rail, quite satisfactory inspection performance can be expected for a variety of defect types, sizes, and positions. Beyond the specific cases examined in this article, this numerical framework can also be used in the future to examine a larger variety of field test conditions.


2012 ◽  
Vol 518 ◽  
pp. 396-406 ◽  
Author(s):  
Miguel Angel Torres-Arredondo ◽  
H. Jung ◽  
Claus Peter Fritzen

Acoustic Emission (AE) techniques are used for the structural health monitoring (SHM) of civil, aeronautic and aerospace structures. In order to depart from the traditional reliance on parameter based analysis, AE diagnostic techniques require the analysis of wave propagation phenomena and the use of predictive modelling tools to improve the monitoring capabilities and provide reliable health monitoring. Additionally, modal based techniques offer potential for optimization of sensor networks in terms of sensor placement and number of sensors, increased source location accuracy and to get an insight into the source mechanisms. If the modes of propagation can be recognised in the received AE signals, then it would be possible to discriminate between damage types. On that account, the present paper develops two methodologies that are useful tools for the investigation and design of wave propagation based SHM systems established upon modal analysis. Firstly, a higher order plate theory for modelling disperse solutions in elastic and viscoelastic fibre-reinforced composites is proposed in order to investigate the radiation and attenuation of Lamb waves in anisotropic media. Second, spectral flat shell elements are used for the simulation of guided waves in shell structures. Numerical simulations and experiments validate the models and demonstrate that material anisotropy has a strong influence on the velocities, attenuation and acoustic energy for the different modes of propagation. It is expected that the presented methodologies may contribute to offer a higher computational efficiency and simplicity in comparison to traditional methods, and enable the design shortening time and cost of development of Lamb wave based damage detection systems for a rapid transfer from laboratory to in-service structures.


2001 ◽  
Vol 40 (Part 1, No. 1) ◽  
pp. 364-370 ◽  
Author(s):  
Hideo Nishino ◽  
Sunao Takashina ◽  
Fukutoshi Uchida ◽  
Mikio Takemoto ◽  
Kanji Ono
Keyword(s):  

2008 ◽  
Vol 2 (5) ◽  
pp. 636-644
Author(s):  
Takahiro HAYASHI ◽  
Mitsunobu SUYAMA ◽  
Tsukasa ABE

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Piervincenzo Rizzo ◽  
Marcello Cammarata ◽  
Ivan Bartoli ◽  
Francesco Lanza di Scalea ◽  
Salvatore Salamone ◽  
...  

Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes. A rail inspection prototype based on these concepts and devoted to the automatic damage detection of defects in rail head is the focus of this paper. The prototype includes an algorithm based on wavelet transform and outlier analysis. The discrete wavelet transform is utilized to denoise ultrasonic signals and to generate a set of relevant damage sensitive data. These data are combined into a damage index vector fed to an unsupervised learning algorithm based on outlier analysis that determines the anomalous conditions of the rail. The first part of the paper shows the prototype in action on a railroad track mock-up built at the University of California, San Diego. The mock-up contained surface and internal defects. The results from three experiments are presented. The importance of feature selection to maximize the sensitivity of the inspection system is demonstrated here. The second part of the paper shows the results of field testing conducted in south east Pennsylvania under the auspices of the U.S. Federal Railroad Administration.


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