Login Register Cart 0
Generic placeholder image

Recent Innovations in Chemical Engineering

Editor-in-Chief

ISSN (Print): 2405-5204
ISSN (Online): 2405-5212

Back
Journal Home About Journal Editorial Board Journal Insight Current Issue Volumes/Issues
Subscribe
Research Article

Research on Failure Pressure of API 5L X100 Pipeline with Single Defect

Author(s): Zhanhui Wang*, Wenlong Duan, Mengzhao Long, Aimin Wang and Xiaojun Li

Volume 17, Issue 2, 2024

Published on: 07 March, 2024

Page: [134 - 155] Pages: 22

DOI: 10.2174/0124055204294716240306065810

Price: $65

Abstract

Background: With the continuous application of API 5L X100 high-strength grade steel pipeline and the development trend of increasing pipeline diameter and design pressure in China's long natural gas and petroleum pipeline, API 5L X100 high-strength grade steel pipeline steel is bound to become the aorta in long-distance pipeline construction in the future. Studying the failure pressure of API 5L X100 high-strength grade steel pipeline has high economic and social benefits.

Objective: Exploring the corrosion mechanism of the two single corroded pipeline models with outer defect and inner defect.

Methods: Using ANSYS Workbench 15.0 software to explore the two single corroded pipeline models with outer defect and inner defect and the influence of geometric parameters such as defect depth, defect length, defect width, etc., on the maximum equivalent stress and failure pressure investigated. Based on the finite element analysis database, the failure pressures of two single corroded pipeline models were fitted using Matlab software and the fitting formulas.

Results: In the corrosion defect area of the pipeline, stress concentration occurs; Far away from the corrosion defect area, the stress distribution is uniform. For the pipeline model with outer defect and inner defect, as the defect depth and length increases, failure pressure shows a decreasing trend and is almost unaffected by defect width; As the ratio of diameter to thickness increases, failure pressure shows a decreasing trend; By fitting failure pressure formula of the pipeline models with outer defect and inner defect, a multivariate fitting function formula of failure pressure is obtained, with high fitting exactitude.

Conclusion: The conclusion obtained have certain guiding values for the normal and stable operation of natural gas and petroleum transportation pipelines.

Keywords: Single defect, stress cloud diagram, failure pressure, anti-corrosion layer, exactitude, corrosiveness.

« Previous Next »
Graphical Abstract

[1]
Zhou W. System reliability of corroding pipelines. Int J Press Vessels Piping 2010; 87(10): 587-95.
[http://dx.doi.org/10.1016/j.ijpvp.2010.07.011]
[2]
Li SX, Zeng HL, Yu SR, et al. A method of probabilistic analysis for steel pipeline with correlated corrosion defects. Corros Sci 2009; 51(12): 3050-6.
[http://dx.doi.org/10.1016/j.corsci.2009.08.033]
[3]
Kwun H, Hanley JJ, Holt AE. Detection of corrosion in pipe using the magnetostrictive sensor technique. Smart Struct 1995; 2459: 140-8.
[http://dx.doi.org/10.1117/12.212549]
[4]
Kostyuchenko AA, Bordovskii AM, Kozik AN, Vorob’ev VV, Sosnovskii LA. Experimental studies on the failure of oil pipes with inner surface corrosion defects. Strength Mater 2009; 41(5): 527-33.
[http://dx.doi.org/10.1007/s11223-009-9155-y]
[5]
Choi JB, Goo BK, Kim JC, Kim YJ, Kim WS. Development of limit load solutions for corroded gas pipelines. Int J Press Vessels Piping 2003; 80(2): 121-8.
[http://dx.doi.org/10.1016/S0308-0161(03)00005-X]
[6]
Qi C, Li T, Liu C, et al. Experiments and evaluation on residual strength of X52 steel pipe with various internal defects. Front Energy Res 2023; 10: 1046900.
[http://dx.doi.org/10.3389/fenrg.2022.1046900]
[7]
Jiming Yin, Mi Lu, Pineda de Gyvez J. Full-signature real-time corrosion detection of underground casing pipes. IEEE Trans Instrum Meas 2000; 49(1): 120-8.
[http://dx.doi.org/10.1109/19.836321]
[8]
Babkin SA. An analysis of stress-corrosion defects from the results of multiple in-tube diagnostics. Russ J Nondestr Test 2013; 49(9): 519-23.
[http://dx.doi.org/10.1134/S1061830913090039]
[9]
Alamilla JL, Oliveros J, García-Vargas J. Probabilistic modelling of a corroded pressurized pipeline at inspection time. Struct Infrastruct Eng 2009; 5(2): 91-104.
[http://dx.doi.org/10.1080/15732470600924680]
[10]
Li H, Li L, Chen X, Zhou Y, Li Z, Zhao Z. Addressing the inspection selection challenges of in-service pipeline girth weld using ensemble tree models. Eng Fail Anal 2024; 156: 107852.
[http://dx.doi.org/10.1016/j.engfailanal.2023.107852]
[11]
Hrabovs’kyi RS. Determination of the resource abilities of oil and gas pipelines working for a long time. Mater Sci 2009; 45(2): 309-17.
[http://dx.doi.org/10.1007/s11003-009-9180-9]
[12]
Bilyi OL, Dmytrakh IM, Barna RA. Evaluation of the serviceability and fracture hazard for a feeding pipeline with corrosion defects. Mater Sci 2009; 45(2): 238-47.
[http://dx.doi.org/10.1007/s11003-009-9174-7]
[13]
Witek M. Structural integrity of steel pipeline with clusters of corrosion defects. Materials (Basel) 2021; 14(4): 852-65.
[http://dx.doi.org/10.3390/ma14040852] [PMID: 33578907]
[14]
Gao D, Shi G, Wang D. Residual ultimate strength of hull structures with crack and corrosion damage. Eng Fail Anal 2012; 25: 316-28.
[http://dx.doi.org/10.1016/j.engfailanal.2012.05.003]
[15]
Zandinava B, Bakhtiari R, Vukelic G. Failure analysis of a gas transport pipe made of API 5L X60 steel. Eng Fail Anal 2022; 131: 105881.
[http://dx.doi.org/10.1016/j.engfailanal.2021.105881]
[16]
Wang Z, Long M, Li X, Zhang Z. Analysis of interaction between interior and exterior wall corrosion defects. J Mar Sci Eng 2023; 11(3): 502-21.
[http://dx.doi.org/10.3390/jmse11030502]
[17]
Shuai Y, Wang XH, Li J, et al. Assessment by finite element modelling of the mechano-electrochemical interaction at corrosion defect on elbows of oil/gas pipelines. Ocean Eng 2021; 234: 109228.
[http://dx.doi.org/10.1016/j.oceaneng.2021.109228]
[18]
Bedairi B, Cronin D, Hosseini A, Plumtree A. Failure prediction for Crack-in-Corrosion defects in natural gas transmission pipelines. Int J Press Vessels Piping 2012; 96-97(1): 90-9.
[http://dx.doi.org/10.1016/j.ijpvp.2012.06.002]
[19]
Liang Z, Xiao Y, Zhang J. Stress-strain analysis of a pipeline with inner and outer corrosion defects. J Press Vessel Technol 2018; 140(6): 064501.
[http://dx.doi.org/10.1115/1.4041434]
[20]
Feng L, Huang D, Chen X, Shi H, Wang S. Residual ultimate strength investigation of offshore pipeline with pitting corrosion. Appl Ocean Res 2021; 117(1): 102869.
[http://dx.doi.org/10.1016/j.apor.2021.102869]
[21]
Mohd MH, Lee BJ, Cui Y, Paik JK. Residual strength of corroded subsea pipelines subject to combined internal pressure and bending moment. Ships Offshore Struct 2015; 10(5): 1-11.
[http://dx.doi.org/10.1080/17445302.2015.1037678]
[22]
Chen Y, Zhang H, Zhang J, Liu X, Li X, Zhou J. Residual bending capacity for pipelines with corrosion defects. J Loss Prev Process Ind 2014; 32(1): 70-7.
[http://dx.doi.org/10.1016/j.jlp.2014.07.011]
[23]
Wang Q, Zhou W. A new burst pressure model for thin-walled pipe elbows containing metal-loss corrosion defects. Eng Struct 2019; 200: 109720.
[http://dx.doi.org/10.1016/j.engstruct.2019.109720]
[24]
Sun M, Zhao H, Li X, Liu J, Xu Z. A new evaluation method for burst pressure of pipeline with colonies of circumferentially aligned defects. Ocean Eng 2021; 222: 108628.
[http://dx.doi.org/10.1016/j.oceaneng.2021.108628]
[25]
Mokhtari M, Melchers RE. A new approach to assess the remaining strength of corroded steel pipes. Eng Fail Anal 2018; 93(1): 144-56.
[http://dx.doi.org/10.1016/j.engfailanal.2018.07.011]
[26]
Al-Owaisi S, Becker AA, Sun W, et al. An experimental investigation of the effect of defect shape and orientation on the burst pressure of pressurised pipes. Eng Fail Anal 2018; 93(1): 200-13.
[http://dx.doi.org/10.1016/j.engfailanal.2018.06.011]
[27]
Li X, Chen G, Liu X, Ji J, Han L. Analysis and evaluation on residual strength of pipelines with internal corrosion defects in seasonal frozen soil region. Appl Sci (Basel) 2021; 11(24): 12141-60.
[http://dx.doi.org/10.3390/app112412141]
[28]
Ma B, Shuai J, Liu D, Xu K. Assessment on failure pressure of high strength pipeline with corrosion defects. Eng Fail Anal 2013; 32(1): 209-19.
[http://dx.doi.org/10.1016/j.engfailanal.2013.03.015]
[29]
Chegeni B, Jayasuriya S, Das S. Effect of corrosion on thin-walled pipes under combined internal pressure and bending. Thin-walled Struct 2019; 143(1): 106218.
[http://dx.doi.org/10.1016/j.tws.2019.106218]
[30]
Li X, Bai Y, Su C, Li M. Effect of interaction between corrosion defects on failure pressure of thin wall steel pipeline. Int J Press Vessels Piping 2016; 138(1): 8-18.
[http://dx.doi.org/10.1016/j.ijpvp.2016.01.002]
[31]
Gadala IM, Abdel Wahab M, Alfantazi A. Electrochemical corrosion finite element analysis and burst pressure prediction of externally corroded underground gas transmission pipelines. J Press Vessel Technol 2018; 140(1): 011701.
[http://dx.doi.org/10.1115/1.4038224]
[32]
Chen Y, Zhang H, Zhang J, Li X, Zhou J. Failure analysis of high strength pipeline with single and multiple corrosions. Mater Des 2015; 67(1): 552-7.
[http://dx.doi.org/10.1016/j.matdes.2014.10.088]
[33]
Chen Y, Zhang H, Zhang J, Liu X, Li X, Zhou J. Failure assessment of X80 pipeline with interacting corrosion defects. Eng Fail Anal 2015; 47: 67-76.
[http://dx.doi.org/10.1016/j.engfailanal.2014.09.013]
[34]
Tian X, Zhang H. Failure pressure of medium and high strength pipelines with scratched dent defects. Eng Fail Anal 2017; 78: 29-40.
[http://dx.doi.org/10.1016/j.engfailanal.2017.03.010]
[35]
Qin G, Cheng YF. Failure pressure prediction by defect assessment and finite element modelling on natural gas pipelines under cyclic loading. J Nat Gas Sci Eng 2020; 81: 103445.
[http://dx.doi.org/10.1016/j.jngse.2020.103445]
[36]
Lo M, Karuppanan S, Ovinis M. Failure pressure prediction of a corroded pipeline with longitudinally interacting corrosion defects subjected to combined loadings using FEM and ANN. J Mar Sci Eng 2021; 9(3): 281-305.
[http://dx.doi.org/10.3390/jmse9030281]
[37]
Vijaya Kumar SD, Karuppanan S, Ovinis M. Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN). Metals (Basel) 2021; 11(2): 373-96.
[http://dx.doi.org/10.3390/met11020373]
[38]
Zhou R, Gu X, Bi S, Wang J. Finite element analysis of the failure of high-strength steel pipelines containing group corrosion defects. Eng Fail Anal 2022; 136: 106203.
[http://dx.doi.org/10.1016/j.engfailanal.2022.106203]
[39]
Arumugam T, Karuppanan S, Ovinis M. Finite element analyses of corroded pipeline with single defect subjected to internal pressure and axial compressive stress. Mar Structures 2020; 72(1): 102746.
[http://dx.doi.org/10.1016/j.marstruc.2020.102746]
[40]
Qin G, Cheng YF, Zhang P. Finite element modeling of corrosion defect growth and failure pressure prediction of pipelines. Int J Press Vessels Piping 2021; 194: 104509.
[http://dx.doi.org/10.1016/j.ijpvp.2021.104509]
[41]
Li X, Jia R, Zhang R. A data-driven methodology for predicting residual strength of subsea pipeline with double corrosion defects. Ocean Eng 2023; 279: 114530.
[http://dx.doi.org/10.1016/j.oceaneng.2023.114530]
[42]
Silva RCC, Guerreiro JNC, Loula AFD. A study of pipe interacting corrosion defects using the FEM and neural networks. Adv Eng Softw 2007; 38(11-12): 868-75.
[http://dx.doi.org/10.1016/j.advengsoft.2006.08.047]
[43]
Cunha SB, Netto TA. Analytical assessment of the remaining strength of corroded pipelines and comparison with experimental criteria. J Press Vessel Technol 2017; 139(3): 031701.
[http://dx.doi.org/10.1115/1.4034409]
[44]
Cosham A, Hopkins P, Macdonald KA. Best practice for the assessment of defects in pipelines – Corrosion. Eng Fail Anal 2007; 14(7): 1245-65.
[http://dx.doi.org/10.1016/j.engfailanal.2006.11.035]
[45]
Chen Y, Dong S, Zang Z, et al. Buckling analysis of subsea pipeline with idealized corrosion defects using homotopy analysis method. Ocean Eng 2021; 234: 108865.
[http://dx.doi.org/10.1016/j.oceaneng.2021.108865]
[46]
Chen Z, Zhu W, Di Q, Wang W. Burst pressure analysis of pipes with geometric eccentricity and small thickness-to-diameter ratio. J Petrol Sci Eng 2015; 127: 452-8.
[http://dx.doi.org/10.1016/j.petrol.2015.01.043]
[47]
Cheng FJ, Zhao HW, Wu YL, Liu W, Cao HY, Chen YN. Effects of inner corrosion defects size on the surface strain of oil and gas pipelines. Adv Mat Res 2013; 740(740): 603-7.
[http://dx.doi.org/10.4028/www.scientific.net/AMR.740.603]
[48]
Hwang SS, Kim HP, Kim JS. Evaluation of the burst characteristics for axial notches on SG tubings. Nucl Eng Des 2004; 232(2): 139-43.
[http://dx.doi.org/10.1016/j.nucengdes.2004.06.003]
[49]
Han CJ, Zhang H, Zhang J. Failure pressure analysis of the pipe with inner corrosion defects by FEM. Int J Electrochem Sci 2016; 11(6): 5046-62.
[http://dx.doi.org/10.20964/2016.06.6]
[50]
Yeom KJ, Lee YK, Oh KH, Kim WS. Integrity assessment of a corroded API X70 pipe with a single defect by burst pressure analysis. Eng Fail Anal 2015; 57: 553-61.
[http://dx.doi.org/10.1016/j.engfailanal.2015.07.024]
[51]
Liao Y, Liu C, Wang T, Xu T, Zhang J, Ge L. Mechanical behavior analysis of gas pipeline with defects under lateral landslide. Proc Inst Mech Eng, C J Mech Eng Sci 2021; 235(23): 6752-66.
[http://dx.doi.org/10.1177/09544062211017161]
[52]
Netto TA. On the effect of narrow and long corrosion defects on the collapse pressure of pipelines. Appl Ocean Res 2009; 31(2): 75-81.
[http://dx.doi.org/10.1016/j.apor.2009.07.004]
[53]
Oliveros J, Alamilla JL, Astudillo E, Flores O. Prediction of failure pressures in pipelines with corrosion defects. J Press Vessel Technol 2008; 130(2): 021703.
[http://dx.doi.org/10.1115/1.2892032]
[54]
Hasan S, Khan F, Kenny S. Probability assessment of burst limit state due to internal corrosion. Int J Press Vessels Piping 2012; 89: 48-58.
[http://dx.doi.org/10.1016/j.ijpvp.2011.09.005]
[55]
Netto TA, Ferraz US, Estefen SF. The effect of corrosion defects on the burst pressure of pipelines. J Construct Steel Res 2005; 61(8): 1185-204.
[http://dx.doi.org/10.1016/j.jcsr.2005.02.010]
[56]
Fekete G, Varga L. The effect of the width to length ratios of corrosion defects on the burst pressures of transmission pipelines. Eng Fail Anal 2012; 21: 21-30.
[http://dx.doi.org/10.1016/j.engfailanal.2011.12.002]
[57]
Vijaya Kumar SD, Lo Yin Kai M, Arumugam T, Karuppanan S. A review of finite element analysis and artificial neural networks as failure pressure prediction tools for corroded pipelines. Materials (Basel) 2021; 14(20): 6135-49.
[http://dx.doi.org/10.3390/ma14206135] [PMID: 34683727]
[58]
Chiodo MSG, Ruggieri C. Failure assessments of corroded pipelines with axial defects using stress-based criteria: Numerical studies and verification analyses. Int J Press Vessels Piping 2009; 86(2-3): 164-76.
[http://dx.doi.org/10.1016/j.ijpvp.2008.11.011]
[59]
Qin G, Cheng YF. Modeling of mechano-electrochemical interaction at a corrosion defect on a suspended gas pipeline and the failure pressure prediction. Thin-walled Struct 2021; 160: 107404.
[http://dx.doi.org/10.1016/j.tws.2020.107404]
[60]
Sun J, Cheng YF. Modeling of mechano-electrochemical interaction between circumferentially aligned corrosion defects on pipeline under axial tensile stresses. J Petrol Sci Eng 2021; 198: 108160.
[http://dx.doi.org/10.1016/j.petrol.2020.108160]
[61]
Wang H, Yu Y, Xu W, Li Z, Yu S. Time-variant burst strength of pipe with corrosion defects considering mechano-electrochemical interaction. Thin-walled Struct 2021; 169: 108479.
[http://dx.doi.org/10.1016/j.tws.2021.108479]
[62]
Zhang H, Tian Z. Failure analysis of corroded high-strength pipeline subject to hydrogen damage based on FEM and GA-BP neural network. Int J Hydrogen Energy 2022; 47(7): 4741-58.
[http://dx.doi.org/10.1016/j.ijhydene.2021.11.082]
[63]
Shim DJ, Choi JB, Kim YJ, Kim JW, Park CY. Assessment of local wall thinned pipeline under combined bending and pressure. Int J Mod Phys B 2003; 17(08n09): 1870-6.
[http://dx.doi.org/10.1142/S0217979203019800]
[64]
Hadj Meliani M, Matvienko YG, Pluvinage G. Corrosion defect assessment on pipes using limit analysis and notch fracture mechanics. Eng Fail Anal 2011; 18(1): 271-83.
[http://dx.doi.org/10.1016/j.engfailanal.2010.09.006]
[65]
Lee OS, Pyun JS. Failure probability of corrosion pipeline with varying boundary condition. KSME Int J 2002; 16(7): 889-95.
[http://dx.doi.org/10.1007/BF02949716]
[66]
Cronin DS, Pick RJ. Prediction of the failure pressure for complex corrosion defects. Int J Press Vessels Piping 2002; 79(4): 279-87.
[http://dx.doi.org/10.1016/S0308-0161(02)00020-0]
[67]
Caleyo F, González JL, Hallen JM. A study on the reliability assessment methodology for pipelines with active corrosion defects. Int J Press Vessels Piping 2002; 79(1): 77-86.
[http://dx.doi.org/10.1016/S0308-0161(01)00124-7]
[68]
Su C, Li X, Zhou J. Failure pressure analysis of corroded moderate-to-high strength pipelines. China Ocean Eng 2016; 30(1): 69-82.
[http://dx.doi.org/10.1007/s13344-016-0004-z]
[69]
Zhou W, Siraj T, Gong C. Reliability consistent mitigation criteria for corrosion defects on natural gas transmission pipelines. Can J Civ Eng 2015; 42(12): 1032-9.
[http://dx.doi.org/10.1139/cjce-2015-0232]
[70]
Mousavi SS, Moghaddam AS. Failure pressure estimation error for corroded pipeline using various revisions of ASME B31G. Eng Fail Anal 2020; 109: 104284.
[http://dx.doi.org/10.1016/j.engfailanal.2019.104284]
[71]
Saffar A, Darvizeh A, Ansari R, Kazemi A, Alitavoli M. Prediction of failure pressure in pipelines with localized defects repaired by composite patches. J Fail Anal Prev 2019; 19(6): 1801-14.
[http://dx.doi.org/10.1007/s11668-019-00781-0]
[72]
Zhou W, Huang GX. Model error assessments of burst capacity models for corroded pipelines. Int J Press Vessels Piping 2012; 99-100: 1-8.
[http://dx.doi.org/10.1016/j.ijpvp.2012.06.001]
[73]
Zhou W, Zhang S. Impact of model errors of burst capacity models on the reliability evaluation of corroding pipelines. J. Pipeline Sys. Engine. Prac 2016; 7(1): 04015011.
[http://dx.doi.org/10.1061/(ASCE)PS.1949-1204.0000210]
[74]
Yeom KJ, Kim WS, Oh KH. Integrity assessment of API X70 pipe with corroded girth and seam welds via numerical simulation and burst test experiments. Eng Fail Anal 2016; 70: 375-86.
[http://dx.doi.org/10.1016/j.engfailanal.2016.09.008]
[75]
Keshtegar B, el Amine Ben Seghier M. Modified response surface method basis harmony search to predict the burst pressure of corroded pipelines. Eng Fail Anal 2018; 89: 177-99.
[http://dx.doi.org/10.1016/j.engfailanal.2018.02.016]
[76]
Capula Colindres S, Méndez GT, Velázquez JC, Cabrera-Sierra R, Angeles-Herrera D. Effects of depth in external and internal corrosion defects on failure pressure predictions of oil and gas pipelines using finite element models. Adv Struct Eng 2020; 23(14): 3128-39.
[http://dx.doi.org/10.1177/1369433220924790]
[77]
Shuai Y, Zhang X, Feng C, Han J, Cheng YF. A novel model for prediction of burst capacity of corroded pipelines subjected to combined loads of bending moment and axial compression. Int J Press Vessels Piping 2022; 196: 104621.
[http://dx.doi.org/10.1016/j.ijpvp.2022.104621]
[78]
Orynyak I, Marchenko V, Mazuryk R, Oryniak A. Targeted model error determination for limit load formulas for axial surface defect in a pressurized pipe. J Press Vessel Technol 2023; 145(1): 011503.
[http://dx.doi.org/10.1115/1.4055008]
[79]
Netto TA. A simple procedure for the prediction of the collapse pressure of pipelines with narrow and long corrosion defects — Correlation with new experimental data. Appl Ocean Res 2010; 32(1): 132-4.
[http://dx.doi.org/10.1016/j.apor.2009.12.007]
[80]
Bao J, Zhou W. Influence of the corrosion anomaly class on predictive accuracy of burst capacity models for corroded pipelines. Inte J Geosynt Ground Engine 2020; 6(4): 45.
[http://dx.doi.org/10.1007/s40891-020-00227-w]
[81]
General Administration of Quality Supervision. Inspection and quarantine of the people’s Republic of China. In: Safety assessment of in-service pressure vessels containing defects (GB/T) 19624-2004. Beijing: China Standard Publishing House 2005.

Rights & Permissions Print Cite
Article Metrics
9
1
© 2024 Bentham Science Publishers | Privacy Policy