Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64261
Title: Cylindrical guided wave approach for damage detection in hollow train axles
Authors: Ziaja, A
Cheng, L 
Radecki, RZ
Packo, P
Staszewski, WJ
Issue Date: 2015
Publisher: Destech Publications
Source: In FK Chang & F Kopsaftopoulos (Eds.), Structural health monitoring 2015 : system reliability for verification and implementation. Lancaster, Pa. : Destech Publications, 2015 How to cite?
Abstract: Guided-waves are among the most commonly used techniques for Structural Health Monitoring. However, due to the high thickness-to-wavelength ratio, ultrasonic waves propagating in thick-walled cylindrical structures, such as train bogie axles, exhibit very complex multimodal behavior, thus creating additional challenges to conventional damage detection approaches. As a continuation of our previous work on the guided wave propagation inside a thick-walled cylinder, a novel inspection method using guided wave phenomenon is proposed in this paper, aiming at applications for high-speed trains. The proposed method is based on the near-field mode enhancement phenomenon, which occurs at axle geometrical transitions. Crack-induced alterations to the near-field wave features are used as an indirect indication of the crack presence within specific section of the axle. The method is presented in combination with a modified pulse-echo approach to facilitate defect localization. In addition, to analyze wave propagation phenomena across the wall thickness and verify the feasibility of the method, an axisymmetric model of a hollow axle was developed within the Local Interaction Simulation Approach framework. A simplified model of a train axle was investigated for different damage scenarios involving various sizes and locations.
Description: The 10th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA, Sept. 1-3, 2015
URI: http://hdl.handle.net/10397/64261
ISBN: 978-1-60595-111-9 (print)
1605952753
9781605952758
DOI: 10.12783/SHM2015/256
Appears in Collections:Conference Paper

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