Evidence map›Paper›PMID 42279929›Full record

ReviewMaterials (Basel, Switzerland)2026

Flow-Assisted Corrosion and Nondestructive Testing of Multi-Medium Transmission Pipelines: A Review.

Boran Cui, Guangwei He, Fangchao Kang, Gaoshen Cai, Shuqian Shen, Haozhe Jin

Abstract readReview
In one paragraph

Review in Materials (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.

Boran CuiSchool of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Guangwei HeSchool of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Fangchao KangSchool of Energy and Power Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China.
Gaoshen CaiSchool of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0001-9580-5394
Shuqian ShenSchool of Energy and Power Engineering, Guangdong University of Petrochemical Technology, Maoming 525000, China.
Haozhe JinSchool of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.ORCID 0000-0002-4085-302X

Funding

National Natural Science Foundation of China No. 52572373Zhejiang Province Leading Geese Plan No.2025C01165Zhejiang Provincial Natural Science Foundation No.LLSSZ26E050001
6 · The paper itself

Abstract

The aim of this review is to clarify the mechanism and influencing factors of flow-assisted corrosion in multi-medium transmission pipelines for pipeline safety management, along with the progress in nondestructive testing in this vein. Such pipelines undergo severe flow-assisted corrosion under multiphase-flow, high-temperature, high-pressure, and complex chemical conditions, threatening structural integrity and operational safety. This study summarizes the dominating roles of aqueous wetting, mass transfer, and flow-induced shear stress in corrosion evolution and analyzes the coupling effects of hydrodynamics, medium chemistry, and material properties on corrosion deterioration. The applicational advantages and limitations of ultrasonic guided-wave, magnetic flux leakage, and eddy current testing in corrosion detection are systematically concluded. Future development trends combining artificial intelligence, machine learning, and digital twins are projected, providing a reference for intelligent detection and full-life-cycle integrity management of transmission pipelines.

Indexed as

deep learningflow-assisted corrosionmulti-medium transmission pipelinesmultiphase flownondestructive testingultrasonic guided wave

Identifiers

PMID42279929
PMCPMC13258580

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.