Probabilistic analysis of corroded pipeline under localized corrosion defects based on the intelligent inspection tool
暂无分享,去创建一个
[1] G. Pluvinage,et al. Effect of Sandblasting on Tensile Properties, Hardness and Fracture Resistance of a Line Pipe Steel Used in Algeria for Oil Transport , 2017, Journal of Failure Analysis and Prevention.
[2] Lijun Yu,et al. The probabilistic life time prediction model of oil pipeline due to local corrosion crack , 2014 .
[3] Yan-Gang Zhao,et al. Moment methods for structural reliability , 2001 .
[4] Zhongmin Xiao,et al. On 3-D crack problems in offshore pipeline with large plastic deformation , 2013 .
[5] Bo Feng,et al. A Methodology for Identifying Defects in the Magnetic Flux Leakage Method and Suggestions for Standard Specimens , 2015 .
[6] Ž. Božić,et al. Effect of corrosion damage on a pipeline burst pressure and repairing methods , 2019, Archive of Applied Mechanics.
[7] M. Lemaire,et al. Stochastic finite element: a non intrusive approach by regression , 2006 .
[8] David De Leon,et al. Effect of spatial correlation on the failure probability of pipelines under corrosion , 2005 .
[9] Yong Bai,et al. Fracture assessment of dented pipes with cracks and reliability-based calibration of safety factor , 1997 .
[10] Robert A. Ainsworth,et al. An efficient procedure for reducing in-line-inspection datasets for structural integrity assessments , 2018 .
[11] S. Yu,et al. A method of probabilistic analysis for steel pipeline with correlated corrosion defects , 2009 .
[12] Mojtaba Mahmoodian,et al. Structural integrity of corrosion-affected cast iron water pipes using a reliability-based stochastic analysis method , 2016 .
[13] Francisco Caleyo,et al. A study on the reliability assessment methodology for pipelines with active corrosion defects , 2002 .
[14] Oualid Ghelloudj,et al. Correlation between defect depth and defect length through a reliability index when evaluating of the remaining life of steel pipeline under corrosion and crack defects , 2017 .
[15] A. Eslami,et al. A review on pipeline corrosion, in-line inspection (ILI), and corrosion growth rate models , 2017 .
[16] Yan-Gang Zhao,et al. New Approximations for SORM: Part 2 , 1999 .
[17] Milos B. Djukic,et al. The synergistic action and interplay of hydrogen embrittlement mechanisms in steels and iron: Localized plasticity and decohesion , 2019, Engineering Fracture Mechanics.
[18] P Hopkins,et al. Best practice for the assessment of defects in pipelines – Corrosion , 2007 .
[19] Claudio Ruggieri,et al. Failure assessments of corroded pipelines with axial defects using stress-based criteria: Numerical studies and verification analyses , 2009 .
[20] Milos B. Djukic,et al. Hydrogen Embrittlement of Industrial Components: Prediction, Prevention, and Models , 2016 .
[21] D. Zelmati,et al. Inspections, statistical and reliability assessment study of corroded pipeline , 2019, Engineering Failure Analysis.
[22] Yongqing Wang,et al. Effect of CO2 Partial Pressure on the Corrosion Behavior of J55 Carbon Steel in 30% Crude Oil/Brine Mixture , 2018, Materials.
[23] Milos B. Djukic,et al. Hydrogen damage of steels: A case study and hydrogen embrittlement model , 2015 .
[24] A. Kiureghian,et al. Second-Order Reliability Approximations , 1987 .
[25] K. A. Macdonald,et al. Best practice for the assessment of defects in pipelines ¿ gouges and dents , 2005 .
[26] R. J. Pick,et al. Behaviour of circumferentially aligned corrosion pits , 1994 .
[27] F. Förster. New findings in the field of non-destructive magnetic leakage field inspection , 1986 .
[28] Segen F. Estefen,et al. The effect of corrosion defects on the burst pressure of pipelines , 2005 .
[29] Chinedu I. Ossai,et al. Estimation of internal pit depth growth and reliability of aged oil and gas pipelines: A Monte Carlo simulation approach , 2015 .
[30] Henrik O. Madsen,et al. Structural Reliability Methods , 1996 .
[31] Xiaoping Du,et al. Efficient reliability-based design with second order approximations , 2019 .
[32] Milos B. Djukic,et al. Hydrogen embrittlement of low carbon structural steel at macro-, micro- and nano-levels , 2020 .
[33] Oualid Ghelloudj,et al. Reliability estimation of pressurized API 5L X70 pipeline steel under longitudinal elliptical corrosion defect , 2017 .
[34] Finn Kirkemo,et al. Applications of Probabilistic Fracture Mechanics to Offshore Structures , 1988 .
[35] K. Breitung. Asymptotic approximations for multinormal integrals , 1984 .
[36] Milos B. Djukic,et al. Long-term external microbiologically influenced corrosion of buried cast iron pipes in the presence of sulfate-reducing bacteria (SRB) , 2020 .
[37] M. Ahammed,et al. Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects , 1998 .
[38] Brian Boswell,et al. Pipeline failures in corrosive environments – A conceptual analysis of trends and effects , 2015 .
[39] Kong Fah Tee,et al. Reliability analysis of underground pipelines with correlations between failure modes and random variables , 2014 .
[40] B. Ayyub,et al. Practical Structural Reliability Techniques , 1984 .
[41] Robert E. Melchers,et al. Reliability estimation of pressurised pipelines subject to localised corrosion defects , 1996 .
[42] Andrew Cosham,et al. The effect of dents in pipelines—guidance in the pipeline defect assessment manual , 2004 .
[43] Milos B. Djukic,et al. The synergistic effects of hydrogen embrittlement and transient gas flow conditions on integrity assessment of a precracked steel pipeline , 2020 .
[44] Ikjin Lee,et al. Second‐order reliability method‐based inverse reliability analysis using Hessian update for accurate and efficient reliability‐based design optimization , 2014 .
[45] J. T. Martin,et al. Analysis of constraint in single edge notch tension specimens using the T-stress , 1996 .