The evaluation of the failure probability of corroded pipelines is an important calculation to quantify the risk assessment and integrity of pipelines. Traditional Monte Carlo simulation method has been widely used to solve this type of problems, where it generates a very large number of simulations and takes longer time in computing. In this study, enhanced computational method called Separable Monte Carlo is employed to evaluate the time-dependent reliability of pipeline segments containing active corrosion defects, where a practical example was used. The results show that the Separable Monte Carlo simulation method not only minimizes the computational cost strongly but also improves the calculation precision.
Ben SeghierMKeshtegarBElahmouneB. Reliability analysis of low, mid and high-grade strength corroded pipes based on plastic flow theory using adaptive nonlinear conjugate map. Eng Fail Anal2018; 90: 245–261.
2.
ZhaoYSongM.Failure analysis of a natural gas pipeline. Eng Fail Anal2016; 63: 61–71.
3.
KeshtegaraBBen SeghierM.Modified response surface method basis harmony search to predict the burst pressure of corroded pipelines. Eng Fail Anal2018; 89: 177–199.
4.
CoshamAHopkinsP.The assessment of corrosion in pipelines–Guidance in the pipeline defect assessment manual (PDAM). Reliab High Press Steel Pipelines2003; 44: 17–18.
5.
MottaRSCabralHLAfonsoSMet al. Comparative studies for failure pressure prediction of corroded pipelines. Eng Fail Anal2017; 81: 178–192.
6.
ASME B31G-1984. Manual for determining the remaining strength of corroded pipelines.
7.
ASME B31G-2009. Manual for determining the remaining strength of corroded pipelines.
8.
VeritasDNCramerE.Residual strength of corroded pipelines, DNV test results, 2000.
9.
KleverFJStewartGvan der ValkCA.New developments in burst strength predictions for locally corroded pipelines, New York, NY: American Society of Mechanical Engineers, 1995.
10.
TeixeiraAPGuedes SoaresCNettoTAet al. Reliability of pipelines with corrosion defects. Int J Press Vessel Pip2008; 85: 228–237.
11.
ChoiJBGooBKKimJCet al. Development of limit load solutions for corroded gas pipelines. Int J Press Vessel Pip2003; 80: 121–128.
12.
CaleyoFGonzlezJLHallenJM.A study on the reliability assessment methodology for pipelines with active corrosion defects. Int J Press Vessel Pip2002; 79: 77–86.
13.
SahraouiYKhelifRChateauneufA.Maintenance planning under imperfect inspections of corroded pipelines. Int J Press Vessel Pip2013; 104: 76–82.
14.
Ben SeghierMMouradBElahmouneBet al. Probabilistic approach evaluates reliability of pipelines with corrosion defects. Oil Gas J2017; 115: 64–68.
15.
QianGNiffeneggerMLiS.Probabilistic analysis of pipelines with corrosion defects by using FITNET FFS procedure. Corros Sci2011; 53: 855–861.
16.
QianGNiffeneggerMZhouWet al. Effect of correlated input parameters on the failure probability of pipelines with corrosion defects by using FITNET FFS procedure. Int J Press Vessel Pip2013; 105–106: 19–27.
17.
NaessALeiraBJBatsevychO.System reliability analysis by enhanced Monte Carlo simulation. Struct Saf2009; 31: 349–355.
18.
ZhouW.Reliability evaluation of corroding pipelines considering multiple failure modes and time-dependent internal pressure. J Infrastruct Syst2011; 17: 216–224.
19.
HallenJCaleyoFGonzálezJet al. Probabilistic condition assessment of corroding pipelines in Mexico. AIn Proc., 3rd Pan American Conf. for Nondestructive Testing (PANNDT), 2003
20.
RavishankarBSmarslokBPHaftkaRTet al. Separable sampling of the limit state for accurate Monte Carlo simulation. In: 50th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference, Palm Springs, CA, 4–7 May 2009.
21.
SmarslokBPHaftkaRTCarraroLet al. Improving accuracy of failure probability estimates with separable Monte Carlo. Int J Saf Reliab2010; 4: 393–414.
22.
ZhouW.System reliability of corroding pipelines. Int J Press Vessel Pip2010; 87: 587–595.
23.
VinodGShrivastavaOPSarafRKet al. Reliability analysis of pipelines carrying H 2 S for risk based inspection of heavy water plants. Reliab Eng Syst Saf2006; 91: 163–170.
24.
De LeonDMacíasOF. Effect of spatial correlation on the failure probability of pipelines under corrosion. Int J Press Vessel Pip2005; 82: 123–128.
25.
HasanSKhanFKennyS.Probability assessment of burst limit state due to internal corrosion. Int J Press Vessel Pip2012; 89: 48–58.
26.
ZhouWHongHPZhangS.Impact of dependent stochastic defect growth on system reliability of corroding pipelines. Int J Press Vessel Pip2012; 96–97: 68–77.
27.
KeshtegaraBMiriM.Reliability analysis of corroded pipes using conjugate HL-RF algorithm based on average shear stress yield criterion. Eng Fail Anal2014; 46: 104–117.
