Reliability analysis and service life prediction of pipelines

Doctoral thesis English OPEN
Mahmoodian, Mojtaba (2013)
  • Subject: TJ

Pipelines are extensively used engineering structures for conveying of fluid from one place to another. Most of the time, pipelines are placed underground, surcharged by soil weight and traffic loads. Corrosion of pipe material is the most common form of pipeline deterioration and should be considered in both the strength and serviceability analysis of pipes. The study in this research focuses on two different types of buried pipes including concrete pipes in sewage systems (concrete sewers) and cast iron water pipes used in water distribution systems. This research firstly investigates how to involve the effect of corrosion as a time dependent process of deterioration in the structural and failure analysis of these two types of pipes. Then two probabilistic time dependent reliability analysis methods including first passage probability theory and the gamma distributed degradation model are developed and applied for service life prediction of the pipes. The obtained results are verified by using Monte Carlo simulation technique. Sensitivity analysis is also performed to identify the most important parameters that affect pipe failure.\ud \ud For each type of the pipelines both individual failure mode and multi failure mode assessment are considered. The factors that affect and control the process of deterioration and their effects on the remaining service life are studied in a quantitative manner. The reliability analysis methods which have been developed in this research, contribute as rational tools for decision makers with regard to strengthening and rehabilitation of existing pipelines. The results can be used to obtain a cost-effective strategy for the management of the pipeline system.\ud \ud The output of this research is a methodology that will help infrastructure managers and design professionals to predict service life of pipeline systems and to optimize materials selection and design parameters for designing pipelines with longer service life.
  • References (6)

    Abdel-Hameed,M. (1975). A gamma wear process. IEEE Transactions on Reliability 24(2), 152-153.

    ACI Committee 365, (2000) Service-Life Prediction-State-of-the-Art Report' Ahammed, M. & Melchers, R.E. (1994), 'Reliability of underground pipelines subject to corrosion', Journal of Transportation Engineering, Vol. 120, No. 6, Nov/Dec Ahammed, M. & Melchers, R.E, (1995) 'Probabilistic analysis of pipelines subjected to pitting corrosion leaks', Engineering Structures, Vol. 17, No. 2, 1995 Ahammed, M. and Melchers, R. E. (1997), "Probabilistic analysis of undergroud pipelines subject to combined stress and corrosion." Engineering Structures, 19(12), 988-994.

    Atkinson, K., Whiter, J. T., Mulheron, M. J. and Smith, P. A. (2002), "Failure of small diameter cast iron pipes" Urban Water, 4, 263-271.

    BD 82/00, (2000), Design manual for roads and bridges, Volume 2, section 2, part 10, Design of buried rigid pipes, August Benmansour, A., and Mrabet, Z., (2002), Reliability of Buried pipes,Asranet (Integrating Advanced Structural Analysis with Structural Reliability Analysis) internationalcolloquium 8-10 July, Glasgow, Scotland Bogdanoff, J.L. and Kozin, F., (1985), Probabilistic Models of Cumulative Damage, (John Wiley & Sons: New York).

    Moser, A. P. and Folkman, S., (2008), Buried piep design, Thgird edition, Mc Graw Hill.

    % fracture toughness, Kq= 0.086*d^2-2.7d+29.3 MPa.m^0.5 APPENDIX 3- Published

  • Metrics
    No metrics available
Share - Bookmark