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A model for corrosion prediction in pipelines and its governing parameters are explicitly included into the probabilistic framework. Different sets of simulated corrosion measurements are used to increase the accuracy of the model predictions. Several parametric studies are conducted to investigate how changes in the observed corrosion (depth and length) and in the frequency of inspections affect the pipe reliability.<\/jats:p>","DOI":"10.1115\/1.4040573","type":"journal-article","created":{"date-parts":[[2018,7,20]],"date-time":"2018-07-20T18:37:03Z","timestamp":1532111823000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":19,"title":["Safety of Pipelines Subjected to Deterioration Processes Modeled Through Dynamic Bayesian Networks"],"prefix":"10.1115","volume":"141","author":[{"given":"O. 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