Reliability Evaluation of Suspension Pipeline Bridges Based on a Bayesian Network

The suspension pipeline bridge is an important structure and a weak link in the process of oil and gas storage and transportation, and research on its reliability is of great significance for the healthy operation of oil and gas pipelines. On the basis of determining the evaluation method, the Yellow River suspension pipeline bridge is taken as the research object and its structural tree model is established. According to the graphical and numerical mapping criteria, the Bayesian network reliability model is created. Not only the failure dynamic prediction of the suspension pipeline bridge has been carried out, but also the accident traceability analysis of the suspension pipeline bridge has been implemented, including sensitivity, boost index, and evolution path. The reliability level of the suspension pipeline bridge is divided, and its graded management is achieved. The following conclusions have been drawn: (1) The structure tree of suspension pipeline bridge is divided into four secondary structures, with a total of 19 basic components. (2) The combination of Delphi method, AHP, and fuzzy probability method can be used to calculate the prior probability. (3) No wind cable structures and the destruction of slope protection significantly lower the reliability of the suspension pipeline bridge. (4) The basic components that mainly affect reliability are pipeline welds, bridge truss, main cables, and towers. (5) The current reliability level of the Yellow River suspension pipeline bridge is level very high (VH).