Application of Fault Tree - Bayesian Network for Graving Dock Gate Failure Analysis

Abstract

Shipyards are complex systems with economic functions; they are subject to specific harsh environmental conditions and are built mainly in areas with increasingly corrosive activity. This chapter focuses on one particular dry dock type called ‘relieving graving dock’ reinforced with concrete. A detailed quantitative risk analysis with novel fault tree-Bayesian network mapping algorithm is  used to rank the most dominant failure mechanisms in terms of risks. The results of this analysis will be a guide for the design,construction and maintenance phase of graving docks applicable to any critical component identified from a risk analysis perspective.The research results should be valuable in enabling industrial participants to manage large engineering risk projects and extending understanding of ship repairing.