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

被引:24
作者
Cai, Bao-ping [1 ,2 ]
Zhang, Yan-ping [1 ,2 ]
Yuan, Xiao-bing [1 ,2 ]
Gao, Chun-tan [1 ,2 ]
Liu, Yong-hong [1 ,2 ]
Chen, Guo-ming [1 ,2 ]
Liu, Zeng-kai [1 ,2 ]
Ji, Ren-jie [1 ,2 ]
机构
[1] China Univ Petr, Natl Engn Lab Offshore Geophys & Explorat Equipme, Qingdao 266580, Peoples R China
[2] China Univ Petr, Coll Mech & Elect Engn, Qingdao 266580, Peoples R China
基金
中国国家自然科学基金;
关键词
structure resilience; structure system; remaining useful life; dynamic Bayesian networks; ENGINEERING RESILIENCE; MODEL;
D O I
10.1007/s13344-020-0054-0
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:597 / 607
页数:11
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