A finite element model for estimating time-dependent reliability of a corroded pipeline elbow

PurposeThe aim of this paper is to investigate the failure probability in an irregular area in pipeline (elbow) over its lifetime. The reliability analysis is performed by using of an enhanced first-order reliability method / second-order reliability method (FORM/SORM) and Monte Carlo simulation methods: a numerical model of a corroded pipeline elbow was developed by using finite element method; also, an empirical mechanical behavior model has been proposed. A numerical case with high, moderate and low corrosion rates was conducted to calculate the deferent reliability indexes. The found results can be used in an application case for managing an irregular area in pipeline lifetime. Hence, it is necessary to ensure a rigorous inspection for this part of a pipeline to avoid human and environmental disasters.Design/methodology/approachThe present paper deals a methodology for estimating time-dependent reliability of a corroded pipeline elbow. Firstly, a numerical model of corroded elbow is proposed by using the finite element method. A mechanical behavior under the corrosion defect in time is studied, and an empirical model was also developed.FindingsThe result of this paper can be summarized as: a mechanical characterization of the material was carried out experimentally. A numerical model of a corroded pipeline elbow was developed by using the finite element method. An empirical mechanical behavior model has been developed. The reliability of a corroding pipe elbow can be significantly affected by corrosion and residual stress. A proportional relationship has been found between probability of failure and corrosion rate. The yield stress and pressure service have an important sensitivity factor.Originality/valueAiming to help Algerian gas and oil companies' decision makers, the present paper illustrates a methodology for estimating time-dependent reliability of a corroded pipeline elbow over its lifetime using numerical models by applying the finite element method. Firstly, a numerical model of a corroded pipe elbow was developed and coupled with an empirical mechanical behavior model, which is also proposed. A probabilistic is then developed to provide realistic corrosion parameters and time modeling, leading to the real impact on the lifetime of an elbow zone in pipeline. The reliability indexes and probability of failure for various corrosion rates with and without issued residual stress are computed using Monte Carlo simulation and FORM.

[1]  N. Rendler,et al.  Hole-drilling strain-gage method of measuring residual stresses , 1966 .

[2]  Robert E. Melchers,et al.  Reliability estimation of pressurised pipelines subject to localised corrosion defects , 1996 .

[3]  Mahesh D. Pandey,et al.  Probabilistic models for condition assessment of oil and gas pipelines , 1998 .

[4]  M. Ahammed,et al.  Probabilistic estimation of remaining life of a pipeline in the presence of active corrosion defects , 1998 .

[5]  G. P. Srivastava,et al.  Characterisation of metal loss defects from magnetic flux leakage signals with discrete wavelet transform , 2000 .

[6]  Francisco Caleyo,et al.  A study on the reliability assessment methodology for pipelines with active corrosion defects , 2002 .

[7]  M. Abid,et al.  Numerical simulation to study the effect of tack welds and root gap on welding deformations and residual stresses of a pipe-flange joint , 2005 .

[8]  Yoon-Suk Chang,et al.  Probabilistic Integrity Assessment of Corroded Gas Pipelines , 2006 .

[9]  Gopika Vinod,et al.  Reliability analysis of pipelines carrying H2S for risk based inspection of heavy water plants , 2006, Reliab. Eng. Syst. Saf..

[10]  S. Dutta Magnetic flux leakage sensing: The forward and inverse problems , 2008 .

[11]  C. Guedes Soares,et al.  Reliability of pipelines with corrosion defects , 2008 .

[12]  Theodoro A. Netto,et al.  On the Effect of Narrow and Long Corrosion Defects on the Collapse Pressure of Pipelines , 2009 .

[13]  R. K. Stanley,et al.  Simulation and Analysis of 3-D Magnetic Flux Leakage , 2009, IEEE Transactions on Magnetics.

[14]  Jian-Hua Li,et al.  Predicting corrosion remaining life of underground pipelines with a mechanically-based probabilistic model , 2009 .

[15]  C. Bucher Asymptotic sampling for high-dimensional reliability analysis , 2009 .

[16]  A. Naess,et al.  System reliability analysis by enhanced Monte Carlo simulation , 2009 .

[17]  Claudio Ruggieri,et al.  Failure assessments of corroded pipelines with axial defects using stress-based criteria: Numerical studies and verification analyses , 2009 .

[18]  S. Yu,et al.  A method of probabilistic analysis for steel pipeline with correlated corrosion defects , 2009 .

[19]  J. Reilly,et al.  Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements , 2010, IEEE Transactions on Magnetics.

[20]  R. Mohsin,et al.  Failure analysis of natural gas pipes , 2010 .

[21]  Zhaode Zhang,et al.  Fault Detection In Sub-sea Pipelines Using Discrete Wavelet Transform Method , 2010 .

[22]  S. Serajzadeh,et al.  Arc welding induced residual stress in butt-joints of thin plates under constraints , 2011 .

[23]  Sang-Kwon Lee,et al.  Gas Leakage in Buried Gas Pipe Based on Wavelet Analysis for Vibro-Coustic Signal in a Long Duct , 2011 .

[24]  R. Melchers,et al.  Pitting corrosion in pipeline steel weld zones , 2011 .

[25]  Wenxing Zhou,et al.  Reliability Evaluation of Corroding Pipelines Considering Multiple Failure Modes and Time-Dependent Internal Pressure , 2011 .

[26]  R. Gou,et al.  Residual stress measurement of new and in-service X70 pipelines by X-ray diffraction method , 2011 .

[27]  Brian N. Leis,et al.  Evaluation of burst pressure prediction models for line pipes , 2012 .

[28]  G. Fekete,et al.  The effect of the width to length ratios of corrosion defects on the burst pressures of transmission pipelines , 2012 .

[29]  Tadeusz Uhl,et al.  Leak detection in gas pipelines using wavelet-based filtering , 2012 .

[30]  A. Alfantazi,et al.  Corrosion of simulated weld HAZ of API X-80 pipeline steel , 2012 .

[31]  Faisal Khan,et al.  Probability assessment of burst limit state due to internal corrosion , 2012 .

[32]  Y. F. Cheng,et al.  Reliability and failure pressure prediction of various grades of pipeline steel in the presence of corrosion defects and pre-strain , 2012 .

[33]  Wenxing Zhou,et al.  Impact of dependent stochastic defect growth on system reliability of corroding pipelines , 2012 .

[34]  Bin Ma,et al.  Assessment on failure pressure of high strength pipeline with corrosion defects , 2013 .

[35]  J. Alamilla,et al.  Failure analysis and mechanical performance of an oil pipeline , 2013 .

[36]  Alaa Chateauneuf,et al.  Maintenance planning under imperfect inspections of corroded pipelines , 2013 .

[37]  Wenxing Zhou,et al.  System reliability of corroding pipelines considering stochastic process-based models for defect growth and internal pressure , 2013 .

[38]  G. Qian,et al.  Effect of correlated input parameters on the failure probability of pipelines with corrosion defects by using FITNET FFS procedure , 2013 .

[39]  Shenwei Zhang,et al.  Development of Probabilistic Corrosion Growth Models with Applications in Integrity Management of Pipelines , 2014 .

[40]  M. Nahal,et al.  Pipelines Reliability Analysis Under Corrosion Effect and Residual Stress , 2015 .

[41]  Bernt J. Leira,et al.  Reliability analysis of corroding pipelines by enhanced Monte Carlo simulation , 2016 .

[42]  A. Eslami,et al.  A review on pipeline corrosion, in-line inspection (ILI), and corrosion growth rate models , 2017 .

[43]  Ankang Cheng,et al.  Corrosion fatigue crack growth modelling for subsea pipeline steels , 2017 .