Non-Destructive Testing Technology for Shallow Subsurface Defects in Rails: A Review with Focus on Ultrasonic Surface Wave Methods

Read full text
Authors: Tianyu Song, Lisha Peng, Songling Huang, Huang Zijing, Qibo Feng, Hongyu Sun
Cited by: 1
References: 106

Abstract

With increasing rail traffic intensity, reliable detection of shallow subsurface rail damage is essential for operational safety. This critical narrative review evaluates non-destructive testing technologies relevant to defects whose active crack front or principal scattering zone lies within the upper approximately 0.5-10 mm of the rail, while treating the 10-15 mm range as a transition to deeper-defect verification. Magnetic flux leakage, magnetic particle inspection, visual inspection, eddy current testing, and conventional ultrasonic testing are first examined as screening or confirmatory comparators. The review then focuses on four ultrasonic surface-wave excitation routes-contact piezoelectric, active air-coupled, electromagnetic acoustic, and laser ultrasonic-and distinguishes source-specific laboratory capability from demonstrated field evidence. Because the cited studies use different defect geometries, rail conditions, sensor configurations, speeds, and decision criteria, their numerical values are reported as source-conditioned evidence rather than as a normalized ranking. An engineering decision matrix links defect depth and size, inspection speed, surface condition, and noise environment to a recommended screening-confirmation workflow. The synthesis identifies contact piezoelectric UT/PAUT as the most mature quantitative confirmation route, while EMAT, air-coupled UT, and laser UT retain method-specific advantages but require stronger natural-defect and in-service validation.

Fields of Study & Subjects

Ultrasonics and Acoustic Wave Propagation Non-Destructive Testing Techniques Railway Engineering and Dynamics

Publication details

Journal / source
Sensors
Publisher
MDPI AG
Volume
26
Issue
14
Pages
4614–4614
Publication date
21 July 2026
Language
EN