Reliability analysis based on hybrid algorithm of M5 model tree and Monte Carlo simulation for corroded pipelines: Case of study X60 Steel grade pipes. (March 2019)

• Record Type: Journal Article
• Authors: El Amine Ben Seghier, Mohamed; Keshtegar, Behrooz; Correia, José A.F.O.; Lesiuk, Grzegorz; De Jesus, Abílio M.P.
• Is Part Of: Engineering failure analysis. Volume 97(2019)
• Page Start: 793
• Page End: 803
• Publication Date: 2019-03
• Subjects: Reliability analysis -- Corroded pipeline -- M5 model tree algorithm -- X60 steel -- External corrosion -- Monte Carlo; System failures (Engineering) -- Periodicals; Fracture mechanics -- Periodicals; Reliability (Engineering) -- Periodicals; Pannes -- Périodiques; Rupture, Mécanique de la -- Périodiques; Fiabilité -- Périodiques; Fracture mechanics; Reliability (Engineering); System failures (Engineering); Periodicals; Electronic journals; 620.112
• DOI: 10.1016/j.engfailanal.2019.01.061
• Languages: English
• ISSNs: 1350-6307

Abstract

Abstract: In this paper, the failure probability of corroded pipelines made by X60 steel grade is evaluated. For this complex real engineering failure problem, the burst corroded performance function is developed using an M5Tree model based on calibration with real burst test database. In addition statistical analysis of ILI-report data is conducted for best modeling of corrosion defects geometries (i.e. defects length and depth) based on Anderson-Darling statistic where different PDFs (i.e. Normal, Lognormal, Frechet, Gumbel, Weibull) were tested. Moreover, the effect of defects geometries on the failure probability of the case-studies were investigated for various operating regimes. Then the influence of distributions on the reliability analysis were also illustrated. Results indicated that increases in defects depth are strongly reduced the safety levels of this problem, where miss-selection of defects distributions could lead to conservatives results. Highlights: A Metamodel-based M5 tree algorithm is developed to simulate the burst pressure of X60 corroded pipeline. Statistical analysis of real inspection data is carried out for the X60 gas pipeline. The reliability analysis using hybrid model of M5Tree and MCS is used to evaluate the safe levels of corroded X60 steel. The influence of different distributions for corrosion defect geometries on the failure probabilities is demonstrated. The distribution information of corrosion defects are an important statistical parameter.