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Dec 2020
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CAI Bao-ping, ZHANG Yan-ping, YUAN Xiao-bing, GAO Chun-tan, LIU Yong-hong, CHEN Guo-ming, LIU Zeng-kai, JI Ren-jie. A Dynamic-Bayesian-Networks-Based Resilience Assessment Approach of Structure Systems: Subsea Oil and Gas Pipelines as A Case Study[J]. JOURNAL OF MECHANICAL ENGINEERING, 2020, 34(5): 597-607. doi: 10.1007/s13344-020-0054-0
Citation: CAI Bao-ping, ZHANG Yan-ping, YUAN Xiao-bing, GAO Chun-tan, LIU Yong-hong, CHEN Guo-ming, LIU Zeng-kai, JI Ren-jie. A Dynamic-Bayesian-Networks-Based Resilience Assessment Approach of Structure Systems: Subsea Oil and Gas Pipelines as A Case Study[J]. JOURNAL OF MECHANICAL ENGINEERING, 2020, 34(5): 597-607. doi: 10.1007/s13344-020-0054-0

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

doi: 10.1007/s13344-020-0054-0
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  • Corresponding author: CAI Bao-ping, E-mail: caibaoping@upc.edu.cn
  • Received Date: 16 Mar 2020
  • Rev Recd Date: 20 Apr 2020
  • Accepted Date: 12 Jun 2020
  • Available Online: 12 May 2021
  • Publish Date: 10 Dec 2020
  • 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.

     

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