Guilizzoni, R; Finch, G; Harmon, S (2019) Subsurface Corrosion Detection in Industrial Steel Structures. IEEE Magnetics Letters, 10. 2108005 ISSN 1949-307X

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Abstract

Corrosion is a central issue for both the oil and gas and nuclear industry as it can prevent nuclear storage tanks and pipelines from fulfilling their function. Corrosion not only increases the risk of pipeline failure, but also threatens people¿s safety and impacts negatively on the environment, leading to a significant monetary cost for industry. It is therefore necessary to develop reliable methods for timely corrosion detection and integrity evaluation of a range of industrial structures, including nuclear waste storage tanks and oil and gas pipelines, where corrosion under insulation (CUI) manifests as wall loss in the material structure. Commercially available detection systems cannot be used in harsh environments in which nuclear storage tanks are located. Moreover, these systems are not reliable for detecting the inner wall thickness of industrial structures that are made of multiple layers of material and include insulating layers. Investigations were carried with a focus to address the issues outlined above. As a result, a novel Non-Destructive Testing method, based on low-frequency eddy-current induction, was developed and tested using a multi-layered steel structure including an insulating gap. The proposed method enables through-wall thickness measurements between 4 and 16 mm, with a measurement error of approximately 1 mm. The developed technique has the advantage of being quantitative, non-destructive and allows the sensor coil to be positioned on the outside of the composite steel structure, which is extremely useful since the interior part of the industrial container or pipeline is often not accessible.

Item Type:	Article
Keywords:	Corrosion under insulation, Eddy-current inspection, Electromagnetics, Pipe-wall thickness integrity evaluation.
Subjects:	Electromagnetics > Electromagnetic Materials
Divisions:	Electromagnetic & Electrochemical Technologies
Identification number/DOI:	10.1109/LMAG.2019.2948808
Last Modified:	17 Feb 2021 11:55
URI:	https://eprintspublications.npl.co.uk/id/eprint/9046