A Dynamic-Bayesian-Networks-Based Resilience Assessment Approach of Structure Systems: Subsea Oil and Gas Pipelines as A Case Study

作者：CAI Bao-ping,ZHANG Yan-ping,YUAN Xiao-bing,GAO Chun-tan,LIU Yong-hong,CHEN Guo-ming,LIU Zeng-kai,JI Ren-jie

摘要：Under unanticipated natural disasters, any failure of structure components may cause the crash of an entire structure system. Resilience is an important metric for the structure system. Although many resilience metrics and assessment approaches are proposed for engineering system, they are not suitable for complex structure systems, since the failure mechanisms of them are different under the influences of natural disasters. This paper proposes a novel resilience assessment metric for structure system from a macroscopic perspective, named structure resilience, and develops a corresponding assessment approach based on remaining useful life of key components. Dynamic Bayesian networks(DBNs) and Markov are applied to establish the resilience assessment model. In the degradation process, natural degradation and accelerated degradation are modelled by using Bayesian networks, and then coupled by using DBNs. In the recovery process, the model is established by combining Markov and DBNs. Subsea oil and gas pipelines are adopted to demonstrate the application of the proposed structure metric and assessment approach.

发文机构：National Engineering Laboratory of Offshore Geophysical and Exploration Equipment College of Mechanical and Electronic Engineering

关键词：structureresiliencestructuresystemremainingusefullifedynamicBayesiannetworks

分类号： TN9[电子电信—信息与通信工程]