Subset simulation-based reliability analysis of the corroding natural gas pipeline

•Subset simulation is applied to evaluate the reliability of corroding pipeline.•The competitiveness of failure modes and correlation of defects are considered.•A numerical example is proposed to illustrate the feasibility of the methodology.•The effect of the correlation of defects on system reliab...

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Vydáno v:Reliability engineering & system safety Ročník 213; s. 107661
Hlavní autoři: Yu, Weichao, Huang, Weihe, Wen, Kai, Zhang, Jie, Liu, Hongfei, Wang, Kun, Gong, Jing, Qu, Chunxu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Barking Elsevier Ltd 01.09.2021
Elsevier BV
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ISSN:0951-8320, 1879-0836
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Abstract •Subset simulation is applied to evaluate the reliability of corroding pipeline.•The competitiveness of failure modes and correlation of defects are considered.•A numerical example is proposed to illustrate the feasibility of the methodology.•The effect of the correlation of defects on system reliability is investigated. In this study, a subset simulation-based methodology is developed to evaluate the time-dependent reliability of the corroding pipeline with multiple correlated corrosion defects. Two competing failure modes, namely small leak and burst, are considered in the methodology. Firstly, the time-dependent structural reliability model of the two competing failure modes is established. Then, the computational framework for implementing subset simulation for failure probability estimation of the individual corrosion defect is presented. Thereafter, a procedure to calculate the system reliability of the entire pipeline with correlated corrosion defects is proposed. Moreover, a numerical example based on a real natural gas pipeline is proposed, and the time-dependent failure probabilities of both the small leak and burst are predicted, which are compared with the evaluation results produced by the direct Monte Carlo simulation and Kriging method. By means of numerical example, the accuracy and efficiency of our methodology are demonstrated. Furthermore, a sensitivity analysis is performed to investigated the effect of the correlation of the corrosion defects on the system reliability, and the results indicate that the correlation exert great impact on system reliability.
AbstractList •Subset simulation is applied to evaluate the reliability of corroding pipeline.•The competitiveness of failure modes and correlation of defects are considered.•A numerical example is proposed to illustrate the feasibility of the methodology.•The effect of the correlation of defects on system reliability is investigated. In this study, a subset simulation-based methodology is developed to evaluate the time-dependent reliability of the corroding pipeline with multiple correlated corrosion defects. Two competing failure modes, namely small leak and burst, are considered in the methodology. Firstly, the time-dependent structural reliability model of the two competing failure modes is established. Then, the computational framework for implementing subset simulation for failure probability estimation of the individual corrosion defect is presented. Thereafter, a procedure to calculate the system reliability of the entire pipeline with correlated corrosion defects is proposed. Moreover, a numerical example based on a real natural gas pipeline is proposed, and the time-dependent failure probabilities of both the small leak and burst are predicted, which are compared with the evaluation results produced by the direct Monte Carlo simulation and Kriging method. By means of numerical example, the accuracy and efficiency of our methodology are demonstrated. Furthermore, a sensitivity analysis is performed to investigated the effect of the correlation of the corrosion defects on the system reliability, and the results indicate that the correlation exert great impact on system reliability.
In this study, a subset simulation-based methodology is developed to evaluate the time-dependent reliability of the corroding pipeline with multiple correlated corrosion defects. Two competing failure modes, namely small leak and burst, are considered in the methodology. Firstly, the time-dependent structural reliability model of the two competing failure modes is established. Then, the computational framework for implementing subset simulation for failure probability estimation of the individual corrosion defect is presented. Thereafter, a procedure to calculate the system reliability of the entire pipeline with correlated corrosion defects is proposed. Moreover, a numerical example based on a real natural gas pipeline is proposed, and the time-dependent failure probabilities of both the small leak and burst are predicted, which are compared with the evaluation results produced by the direct Monte Carlo simulation and Kriging method. By means of numerical example, the accuracy and efficiency of our methodology are demonstrated. Furthermore, a sensitivity analysis is performed to investigated the effect of the correlation of the corrosion defects on the system reliability, and the results indicate that the correlation exert great impact on system reliability.
ArticleNumber 107661
Author Huang, Weihe
Qu, Chunxu
Liu, Hongfei
Wen, Kai
Gong, Jing
Yu, Weichao
Zhang, Jie
Wang, Kun
Author_xml – sequence: 1
  givenname: Weichao
  surname: Yu
  fullname: Yu, Weichao
  email: cupwhut@163.com
  organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering/ Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum -Beijing, Changping Beijing 102249, China
– sequence: 2
  givenname: Weihe
  surname: Huang
  fullname: Huang, Weihe
  organization: China National Petroleum Corporation/PetroChina Company Limited, Beijing 100007, China
– sequence: 3
  givenname: Kai
  surname: Wen
  fullname: Wen, Kai
  organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering/ Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum -Beijing, Changping Beijing 102249, China
– sequence: 4
  givenname: Jie
  surname: Zhang
  fullname: Zhang, Jie
  organization: China Productivity Center for Machinery, Beijing 100044, China
– sequence: 5
  givenname: Hongfei
  surname: Liu
  fullname: Liu, Hongfei
  organization: China National Aviation Fuel International Holdings Limited, Beijing 100029, China
– sequence: 6
  givenname: Kun
  surname: Wang
  fullname: Wang, Kun
  organization: China Petroleum Planning & Engineering Institute, Beijing 10083, China
– sequence: 7
  givenname: Jing
  surname: Gong
  fullname: Gong, Jing
  email: ydgj@cup.edu.cn
  organization: National Engineering Laboratory for Pipeline Safety/ MOE Key Laboratory of Petroleum Engineering/ Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum -Beijing, Changping Beijing 102249, China
– sequence: 8
  givenname: Chunxu
  surname: Qu
  fullname: Qu, Chunxu
  organization: Shanghai Branch, Natural Gas Marketing Company, China National Petroleum Corporation & Shanghai Branch, Kunlun Energy Company Limited, Shanghai 200120, China
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Keywords Subset simulation
Burst
Reliability assessment
Small leak
Corroding natural gas pipeline
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Snippet •Subset simulation is applied to evaluate the reliability of corroding pipeline.•The competitiveness of failure modes and correlation of defects are...
In this study, a subset simulation-based methodology is developed to evaluate the time-dependent reliability of the corroding pipeline with multiple correlated...
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StartPage 107661
SubjectTerms Burst
Computer applications
Corroding natural gas pipeline
Corrosion
Corrosion effects
Defects
Failure modes
Gas pipelines
Methodology
Monte Carlo simulation
Natural gas
Pipelines
Reliability analysis
Reliability assessment
Reliability engineering
Sensitivity analysis
Simulation
Small leak
Structural reliability
Subset simulation
System reliability
Time dependence
Title Subset simulation-based reliability analysis of the corroding natural gas pipeline
URI https://dx.doi.org/10.1016/j.ress.2021.107661
https://www.proquest.com/docview/2553568422
Volume 213
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