Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109460
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorYu, Sen_US
dc.creatorChung, WWSen_US
dc.creatorLau, TCWen_US
dc.creatorLai, WWLen_US
dc.creatorSham, JFCen_US
dc.creatorHo, CYen_US
dc.date.accessioned2024-10-28T08:48:05Z-
dc.date.available2024-10-28T08:48:05Z-
dc.identifier.issn0963-8695en_US
dc.identifier.urihttp://hdl.handle.net/10397/109460-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.subjectAdaptive thresholdingen_US
dc.subjectInfrared thermographyen_US
dc.subjectPeak contrast timeen_US
dc.subjectPeak thermal contrasten_US
dc.subjectResidual thickness estimationen_US
dc.subjectSize estimationen_US
dc.titleLaboratory validation of in-pipe pulsed thermography in the rapid assessment of external pipe wall thinning in buried metallic utilitiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume135en_US
dc.identifier.doi10.1016/j.ndteint.2023.102791en_US
dcterms.abstractThis study characterized the in-pipe thermal signature of external pipewall thinning in steel pipes, a common problem that is caused by external corrosion in hostile underground environment. A model system was prepared to imitate the underground environment by milling several holes of various sizes and residual thicknesses into a mild steel plate. Wall thinning was investigated using active infrared thermography. The non-defective side of the steel plate was heated to 27.4 °C through the application of a thermal energy pulse while the ambient temperature was 22°C. Thermograms were captured inside the pipe at a frequency of 0.02 seconds for 5 min. The images of the thinned surface were processed in two steps. First, the peak contrast time algorithm was used to estimate the residual thickness. Second, Gaussian adaptive thresholding was used to estimate the size of the holes. The maximum observable defects had a diameter of 5 mm and a residual thickness of 3 mm. The type of defect interface (steel–sand or steel–air) had no significant effect on the estimation of residual thickness or size. This study developed a rapid approach in classifying defect's residual thickness by only utilizing two well-known parameters from infrared images – defect's peak thermal contrast and estimated area. Thus, the feasibility of non-destructive, in-pipe, quantitative IR thermographic analysis of buried metal pipelines is demonstrated.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationNDT and E international, Apr. 2023, v. 135, 102791en_US
dcterms.isPartOfNDT and E internationalen_US
dcterms.issued2023-04-
dc.identifier.eissn1879-1174en_US
dc.identifier.artn102791en_US
dc.description.validate202410 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera3261-
dc.identifier.SubFormID49850-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong and China Gas Company Limited; Innovation and Technology Commissionen_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2025-04-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2025-04-30
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