The present work aims at developing a procedure for inspection optimization of pipelines
subject to corrosion, including predictive degradation modelling, space-variant corrosion rate, time-dependent
reliability assessment and inspection uncertainties. The space-variant corrosion is considered
by the mean of Karhunen-Loève expansion in order to take account of soil aggressiveness regarding the
variability of corrosion rate along the pipe length. The failure probability is evaluated by a series
system combination, using Monte Carlo simulations. Then, the maintenance model is developed
according to the inspection decision tree, where imperfect inspections are taken into account. Finally,
the developed model is applied to gas pipeline under various corrosion rates, in order to show the
effects of the main parameters of the system.Non UBCUnreviewedThis collection contains the proceedings of ICASP12, the 12th International Conference on Applications of Statistics and Probability in Civil Engineering held in Vancouver, Canada on July 12-15, 2015. Abstracts were peer-reviewed and authors of accepted abstracts were invited to submit full papers. Also full papers were peer reviewed. The editor for this collection is Professor Terje Haukaas, Department of Civil Engineering, UBC Vancouver.Facult
