A framework of cable wire failure mode deduction based on Bayesian network

Abstract

Because of the cable structure comprises many parallel steel wires, the service performance of the cable structure is determined by the performance change of the parallel steel wires. The parallel steel wire will be subjected to cyclic load during the service period, which will reduce its fatigue life and even lead to the parallel steel wire broken. In addition, the corrosion pits may appear on the cable steel wire in corrosion environments, which will affect the fatigue life of parallel steel wires. In other words, the cable steel wire may be corroded and broken during its service life, which will decrease in the reliability of the cable system. In this paper, a component level to system-level fatigue reliability assessment model is proposed with considering parallel steel wire broken, corroded, and broken-corroded coupling based on the Bayesian network. Specially, the S-N curve considering the broken parallel steel wire is established based on the traditional S-N curve. In addition, the S-N curve for parallel steel wire corrosion is established with the influence of the corrosive environment in mind. Furthermore, the service state of each parallel steel wire, i.e., the failure probability of each parallel steel wire, can be calculated by using a Bayesian network. Finally, the five numerical simulation studies are used to validate the proposed model’s effectiveness and the effects of the number of broken parallel steel wires and the number of corrosion parallel steel wires on the fatigue reliability of cable systems is investigated.