2003
DOI: 10.1016/s0142-1123(03)00021-5
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Structural integrity assessment of offshore tubular joints based on reliability analysis

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Cited by 45 publications
(16 citation statements)
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“…[11,12], and within the creep regime, e.g., Refs. [13e18]; and applications to the evaluation or reliability analysis of nondestructive testing data, e.g., Refs.…”
Section: Monte Carlo Probabilistic Simulation Methodologymentioning
confidence: 99%
“…[11,12], and within the creep regime, e.g., Refs. [13e18]; and applications to the evaluation or reliability analysis of nondestructive testing data, e.g., Refs.…”
Section: Monte Carlo Probabilistic Simulation Methodologymentioning
confidence: 99%
“…This calls for greater emphasis in accurately determining the probability distribution of SCFs. Rajasankar et al [4] who applied the reliability analysis to the structural integrity assessment of offshore tubular joints used the log-normal distribution for the SCF with the mean and standard deviation of 10.118 and 2.024, respectively. Ahmadi and Lotfollahi-Yaghin [5] and Ahmadi et al [6] performed fatigue reliability analyses, based on stress-life (S-N) and fracture mechanics (FM) approaches, on two-planar tubular DKT-joints under axial loading.…”
Section: Assumed Distributions For the Scfs In The Reliability Analysismentioning
confidence: 99%
“…The preventive maintenance cost increases when the inspection and maintenance interval is shortened by maintenance at the higher reliability level. On the other hand, risk or loss caused by failure will increase when the inspection and maintenance interval is lengthened (Okumura and Okino, 2003;Rajasankar et al, 2003). J.…”
Section: Reliability-based Preventive Maintenance Interval (Pmi) Estimentioning
confidence: 99%