2019
DOI: 10.1016/j.engfailanal.2019.01.081
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Reliability analysis of irregular zones in pipelines under both effects of corrosion and residual stress

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Cited by 14 publications
(2 citation statements)
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“…Because the analysis method was based on various criteria, the key was to take the residual strength as a variable to calculate reliability, which also provided the original guidance for a large number of subsequent reliability analysis studies. Nahal [14] investigated the effects of residual strength on the irregular zones of pipeline corrosion and computed the failure probability and reliability index of various corroded areas. Nahal [15] also used residual strength coupled with the probabilistic model to find the limit-state function and calculated the structure reliability index of pitting corrosion in pipelines.…”
Section: Introductionmentioning
confidence: 99%
“…Because the analysis method was based on various criteria, the key was to take the residual strength as a variable to calculate reliability, which also provided the original guidance for a large number of subsequent reliability analysis studies. Nahal [14] investigated the effects of residual strength on the irregular zones of pipeline corrosion and computed the failure probability and reliability index of various corroded areas. Nahal [15] also used residual strength coupled with the probabilistic model to find the limit-state function and calculated the structure reliability index of pitting corrosion in pipelines.…”
Section: Introductionmentioning
confidence: 99%
“…Aryai et al [2] used the three-dimensional nonlinear FEM to model the residual strength of the pipeline in terms of time, and solved the reliability of the water pipe based on the time-dependent reliability analysis. Nahal et al [17] studied the influence of corrosion and residual stress on the irregular area of the pipeline by establishing finite elements model of the corroded elbow area. The failure probability and reliability index of different corrosion areas were calculated by Monte Carlo simulation (MCS).…”
Section: Introductionmentioning
confidence: 99%