Guided wave-based rail flaw detection technologies : state-of-the-art review

Hao Ge, David Chua Kim Huat, Chan Ghee Koh, Gonglian Dai, Yang Yu

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

The unavoidable increase in train speed and load, as well as the aging of railway facilities, is requiring more and more attention to rail defects detection. As a promising tool for rail, in-service high-speed inspection, guided wave–based detection technologies have been developed in succession by researches in the past two decades. However, there is a lack of a systematic review on the developments and performances of these technologies. This article reviews ultrasonic rail inspection methods comprehensively with the focus on the state-of-the-art technologies based on guided wave. Different excitation options, including train wheel, electromagnetic acoustic transducer, pulsed laser, air-coupled, and contact piezoelectric transducer, are described, respectively, along with their inspection sensitivities, regions, and potential speeds. Finally, future challenges and prospects are discussed to a certain extent to provide references for researchers in this area.

Original languageEnglish
Pages (from-to)1287-1308
Number of pages22
JournalStructural Health Monitoring
Volume21
Issue number3
DOIs
Publication statusPublished - May 2022

Bibliographical note

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© The Author(s) 2021.

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