Effect of Irregular Seabed Profile on Upheaval Buckling of Buried Offshore Pipelines
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 8, Issue 4
Abstract
Offshore pipelines are commonly buried in seabeds for protection against damage, for better insulation, and to prevent upheaval buckling induced by thermal and pressure loadings. The seabed imperfection is one of the important design parameters determining the burial depth in order to achieve the required uplift resistance for a given pipeline. In this paper, the effect of variability in seabed profile on the performance of upheaval behavior of buried offshore pipeline is investigated. The variation in the seabed profile is modeled using random field theory. The field-observed imperfection height and correlation length are used to draw the samples of seabed profile for Monte Carlo simulation (MCS) using optimized Latin hypercube (LHC) sampling technique. In order to assess the safety requirement, a numerical model of a pipeline-seabed system was developed in a commercial finite element software ABAQUS assuming linear elastic behavior for the pipe material. The interaction between pipe and seabed soil was modeled using pipe-soil interaction elements in ABAQUS. The effect of irregular seabed on the performance of offshore pipeline against upheaval buckling was quantified on the basis of the probability of failure calculated using the simulation results. Analysis results showed that the irregular seabed profile can significantly increase the vulnerability of the pipeline (failure probability) during upheaval buckling. Results further revealed that the reliable distribution of seabed feature heights and lengths using surveys of out-of-straightness is required even from the front-end engineering design (FEED) phase to eliminate the unexpected pipe failure.
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References
ABAQUS [Computer software]. Dassault Systèmes, Providence, RI.
Ahmed, A. A. (2009). “Stochastic analysis of free surface flow through earth dams.” Comput. Geotech., 36(7), 1186–1190.
Ang, A. H. S., and Tang, W. H. (1984). Probability concepts in engineering planning and design. I: Basic principles, John Wiley & Sons, Hoboken, NJ.
Au, S. K., and Beck, L. J. (2001). “Estimation of small failure probabilities in high dimensions by subset simulation.” Probab. Eng. Mech., 16(4), 263–277.
Baecher, G. B., and Christian, J. T. (2003). Reliability and statistics in geotechnical engineering, Wiley, New York.
Cho, S. E. (2010). “Probabilistic assessment of slope stability that considers the spatial variability of soil properties.” J. Geotech. Geoenviron, 975–984.
DNV (Det Norske Veritas). (2007). “Global buckling of submarine pipelines—Structural design due to high temperature/high pressure.” DNV-RP-F110, Baerum, Norway.
DNV (Det Norske Veritas). (2012). “Submarine pipeline systems.” DNV OS F101, Hovik, Norway.
El-Ramly, H., Morgenstern, N. R., and Cruden, D. M. (2002). “Probabilistic slope stability analysis for practice.” Can. Geotech. J., 39(3), 665–683.
Fenton, G. A., and Griffiths, D. V. (2008). Risk assessment in geotechnical engineering, John Wiley and Sons, Inc., Hoboken, NJ.
Franchin, P., Pinto, P., and Rajeev, P. (2009). “Confidence in the confidence factor.” Eurocode 8 Perspectives from the Italian Standpoint Workshop, E. Cosenza, ed., Doppiavoce, Napoli, Italy, 25–38.
Franchin, P., Pinto, P., and Rajeev, P. (2010). “Confidence factor?” J. Earthquake Eng., 14(7), 989–1007.
Griffiths, D., and Fenton, G. (2004). “Probabilistic slope stability analysis by finite elements.” J. Geotech. Geoenviron. Eng., 507–518.
Harr, M. E. (1987). Reliability-based design in civil engineering, McGraw-Hill, New York.
Jones, W. B., Davis, R. W., and Tauzin, W. J. (1991). Pollution from pipelines—DOT lacks prevention program and information for timely response, General Accounting Office, Washington, DC.
Li, K. S., and Lumb, P. (1987). “Probabilistic design of slopes.” Can. Geotech. J., 24(4), 520–535.
MATLAB [Computer software]. MathWorks, Natick, MA.
Nazari, A., Rajeev, P., and Sanjayan, G. J. (2015a). “Modelling of upheaval buckling of offshore pipeline buried in clay soil using genetic programming.” Eng. Struct., 101, 306–317.
Nazari, A., Rajeev, P., and Sanjayan, G. J. (2015b). “Offshore pipeline performance evaluation by different artificial neural networks approaches.” Measurement, 76, 117–128.
Rackwitz, R. (2000). “Reviewing probabilistic soils modeling.” Comput. Geotech., 26(3), 199–223.
Rajeev, P., Robert, D. J., Thusyanthan, N. I., and Kodikara, J. (2013). “Reliability analysis of upheaval bucking of offshore pipelines.” Aust. Geomech. J., 48(4), 137–148.
Robert, D. J., and Soga, K. (2013). “New trends in the mechanics of geomaterials.” Chapter 13, Soil pipeline interaction in unsaturated soils, John Wiley & Sons, Inc., Hoboken, NJ.
Sudret, B. (2007). Uncertainty propagation and sensitivity analysis in mechanical models—Contributions to structural reliability and stochastic spectral methods, Habilitation á diriger des recherches, Université Blaise Pascal, Clermount-Ferrand, France.
Sudret, B., and Der Kiureghian, A. (2002). “Comparison of finite element reliability methods.” Probab. Eng. Mech., 17(4), 337–348.
Thusyanthan, N. I, Sultan, M., Wang, J., and Haigh, S. K. (2010). “Uplift resistance of buried pipelines and DNV guidelines.” IBC Energy, London.
Thusyanthan, N. I., Mesmar, S., Robert, D. J., Wang, J., and Haigh, S. K. (2011). “Upheaval buckling assessment based on pipeline features.” Offshore Technology Conf., OTC, Houston.
USACE (United States Army Corps of Engineers). (1997). “Engineering and design: Introduction to probability and reliability methods for use in geotechnical engineering.”, Dept. of the Army, Washington, DC.
VanMarcke, E. (1983). Random fields: Analysis and synthesis, MIT Press, Cambridge, MA.
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©2017 American Society of Civil Engineers.
History
Received: Oct 16, 2014
Accepted: Mar 29, 2017
Published online: Jul 8, 2017
Published in print: Nov 1, 2017
Discussion open until: Dec 8, 2017
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