Life cycle estimation of high pressure pipeline based on in-line inspection data

Maciej Witek

Abstract

Degradation of underground pipelines during their long service lifetimes, due to electrochemical corrosion, leads to reduction of the pipe wall thickness. Periodic diagnostics are usually performed by operators to detect localized tube material losses and determine their depth, length and width. Many studies, such as [5,8,15,22], deal with reliability predictions of steel pipelines using inline inspections results, however, the relevant approaches and standardized methods are still under development and there are no generalized structural integrity evaluation methodologies. If at least two data sets of the in-line inspection data from the specific pipeline are available, a probabilistic assessment of the structure life cycle can be carried out and maintenance decisions related to the diagnostics intervals as well as repairs strategy can be taken. A probabilistic limit state function was employed in the current research to evaluate the population of part-wall defects and their influence on the structural reliability and the corresponding service lifetime.
Author Maciej Witek (FEE / DPEGHS)
Maciej Witek,,
- Department of Power Engineering and Gas Heating Systems
Journal seriesEngineering Failure Analysis, ISSN 1350-6307, (N/A 100 pkt)
Issue year2019
Vol104
Pages247-260
Publication size in sheets0.65
Keywords in Englishhigh pressure pipeline
ASJC Classification2200 General Engineering; 2500 General Materials Science
DOIDOI:10.1016/j.engfailanal.2019.05.025
URL https://www.sciencedirect.com/science/article/pii/S1350630718311117?via%3Dihub
Languageen angielski
File
EFA_MW_Oktober_2019.pdf 2.35 MB
Score (nominal)100
Score sourcejournalList
ScoreMinisterial score = 100.0, 25-10-2019, ArticleFromJournal
Publication indicators Scopus Citations = 0; WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.777; WoS Impact Factor: 2017 = 2.157 (2) - 2017=2.148 (5)
Citation count*1 (2019-12-05)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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