Evidence map›Paper›PMID 42515496›Full record

ReviewSensors (Basel, Switzerland)2026

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

Tianyu Song, Lisha Peng, Songling Huang, Zijing Huang, Qibo Feng, Hongyu Sun

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tianyu SongSchool of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100044, China.
Lisha PengState Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-7315-2692
Songling HuangState Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing 100084, China.
Zijing HuangState Key Laboratory of Power System Operation and Control, Tsinghua University, Beijing 100084, China.
Qibo FengSchool of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0003-2854-044X
Hongyu SunSchool of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100044, China.ORCID 0000-0002-7090-6719

Funding

Beijing Natural Science Foundation 2605024Fundamental Research Funds for the Central Universities 2026JBMC055National Natural Science Foundation of China 52307001State Grid Electric Power Engineering Research Institute Co., Ltd. 52500126000LWellcome Trust 202502Young Elite Scientists Sponsor-ship Program of the Beijing High Innovation Plan 0250748
6 · The paper itself

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.

Indexed as

railrail transitshallow subsurface defectsultrasonic non-destructive testing

Identifiers

PMID42515496
PMCPMC13418508

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.