Probabilistic finite element-based reliability of corroded pipelines with interacting corrosion cluster defects

Abraham Mensah1,2, Srinivas Sriramula3
1National Decommissioning Centre, School of Engineering, University of Aberdeen, Aberdeen, Scotland, UK
2Ghana National Gas Company (GNGC), Accra, Ghana
3School of Engineering, University of Aberdeen, Aberdeen, Scotland, UK

Tài liệu tham khảo

Kishawy, 2010, Review of pipeline integrity management practices, Int. J. Pres. Ves. Pip., 87, 373, 10.1016/j.ijpvp.2010.04.003 Valor, 2013, Reliability assessment of buried pipelines based on different corrosion rate models, Corrosion Sci., 66, 78, 10.1016/j.corsci.2012.09.005 Teixeira, 2008, Reliability of pipelines with corrosion defects, Int. J. Pres. Ves. Pip., 85, 228, 10.1016/j.ijpvp.2007.09.002 Bhardwaj, 2019, Reliability assessment of thick high strength pipelines with corrosion defects, Int. J. Pres. Ves. Pip., 177, 10.1016/j.ijpvp.2019.103982 Bisaggio, 2015, Predictive analyses of the integrity of corroded pipelines based on concepts of structural reliability and Bayesian inference, Mar. Struct., 41, 180, 10.1016/j.marstruc.2015.02.003 2004 Amaya-Gómez, 2019, Reliability assessments of corroded pipelines based on internal pressure – a review, vol. 98, 190 Grubišić, 2019, Reliability analysis of reinforced concrete frame by Finite Element Method with implicit limit state functions, Buildings, 9, 10.3390/buildings9050119 Gong, 2020, Time-variant hull girder reliability considering spatial dependence of corrosion growth, geometric and material properties, Reliab. Eng. Syst. Saf., 193, 10.1016/j.ress.2019.106612 2005, European committee for standardization Benjamin, 2007, Part 6: analysis of pipeline containing interacting corrosion defects, Exp. Tech., 31, 74, 10.1111/j.1747-1567.2007.00190.x Benjamin, 2016, Interaction of corrosion defects in pipelines – Part 2: MTI JIP database of corroded pipe tests, Int. J. Pres. Ves. Pip., 145, 41, 10.1016/j.ijpvp.2016.06.006 Melchers, 2021, New insights from probabilistic modelling of corrosion in structural reliability analysis, Struct. Saf., 88, 10.1016/j.strusafe.2020.102034 De Andrade EQ and Benjamin AC, “Finite element modeling of the failure behavior of pipelines containing interacting corrosion defects,” in Proceeding of the ASME 25th International Conference on Offshore Mechanic and Arctic Engineering, Hamburg, Germany,. Manual, 2009, Theory reference for the mechanical APDL and mechanical applications, Release, 12 Mensah, 2023, Estimation of burst pressure of pipelines with interacting corrosion clusters based on machine learning models, J. Loss Prev. Process. Ind., 10.1016/j.jlp.2023.105176 Xu, 2017, Corroded pipeline failure analysis using artificial neural network scheme, Adv. Eng. Software, 112, 255, 10.1016/j.advengsoft.2017.05.006 2022 Silva, 2007, A study of pipe interacting corrosion defects using the FEM and neural networks, Adv. Eng. Software, 38, 868, 10.1016/j.advengsoft.2006.08.047 Reh, 2006, Probabilistic finite element analysis using ANSYS, Struct. Saf., 28, 17, 10.1016/j.strusafe.2005.03.010 Bhardwaj, 2020, Uncertainty quantification of burst pressure models of corroded pipelines, Int. J. Pres. Ves. Pip., 188 Chaves, 2014, Extreme value analysis for assessing structural reliability of welded offshore steel structures, Struct. Saf., 50, 9, 10.1016/j.strusafe.2014.03.007