Toward a non-destructive diagnostic analysis tool of exercises pipelines: models and experiences
Procedia Structural Integrity, ISSN: 2452-3216, Vol: 13, Page: 648-651
2018
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Strategic networks of hydrocarbon pipelines, in long time service, are adversely affected by the action of aggressive chemicals transported with the fluids and dissolved in the environment. Material degradation phenomena are amplified in the presence of hydrogen and water, elements that increase the material brittleness and reduce the safety margins. The risk of failure during operation of these infrastructures can be reduced, if not prevented, by the continuous monitoring of the integrity of the pipe surfaces and by the tracking of the relevant bulk properties. A fast and potentially non-destructive diagnostic tool of material degradation, which may be exploited in this context, is based on the instrumented indentation tests that can be performed on metals at different scales. Preliminary validation studies of the significance of this methodology for the assessment of pipeline integrity have been carried out with the aid of interpretation models of the experiments. The main results of this ongoing activity are illustrated in this contribution.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2452321618303421; http://dx.doi.org/10.1016/j.prostr.2018.12.107; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064685839&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2452321618303421; https://dx.doi.org/10.1016/j.prostr.2018.12.107
Elsevier BV
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