Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes
•Important sampling method for reliability analysis of corroding pipelines.•Consider multiple active corrosion defects and multiple failure modes.•Excellent accuracy and efficiency demonstrated on diverse numerical examples. The importance sampling (IS) technique is employed to evaluate the time-dep...
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Veröffentlicht in: | Reliability engineering & system safety 2018-01, Vol.169, p.199-208 |
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description | •Important sampling method for reliability analysis of corroding pipelines.•Consider multiple active corrosion defects and multiple failure modes.•Excellent accuracy and efficiency demonstrated on diverse numerical examples.
The importance sampling (IS) technique is employed to evaluate the time-dependent system reliability of corroding pipeline segments containing multiple active corrosion defects by considering two competing failure modes, small leak and burst. The IS density functions in the standard normal space for incremental probabilities of small leak and burst of the pipe segment over a short time period are established as the weighted averages of the IS density functions for small leak and burst, respectively, at individual corrosion defects. The IS density functions for incremental probabilities of small leak and burst of individual defects are centred at the design points in the corresponding failure domains. Four numerical examples that are representative of the onshore gas transmission pipelines in the US are used to illustrate the application of the proposed methodology. The results demonstrate the excellent accuracy and efficiency of the methodology. |
doi_str_mv | 10.1016/j.ress.2017.08.023 |
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The importance sampling (IS) technique is employed to evaluate the time-dependent system reliability of corroding pipeline segments containing multiple active corrosion defects by considering two competing failure modes, small leak and burst. The IS density functions in the standard normal space for incremental probabilities of small leak and burst of the pipe segment over a short time period are established as the weighted averages of the IS density functions for small leak and burst, respectively, at individual corrosion defects. The IS density functions for incremental probabilities of small leak and burst of individual defects are centred at the design points in the corresponding failure domains. Four numerical examples that are representative of the onshore gas transmission pipelines in the US are used to illustrate the application of the proposed methodology. The results demonstrate the excellent accuracy and efficiency of the methodology.</description><identifier>ISSN: 0951-8320</identifier><identifier>EISSN: 1879-0836</identifier><identifier>DOI: 10.1016/j.ress.2017.08.023</identifier><language>eng</language><publisher>Barking: Elsevier Ltd</publisher><subject>Bursting ; Corrosion ; Density ; Design defects ; Failure analysis ; Failure modes ; Gas pipelines ; Gas transmission ; Importance sampling ; Natural gas ; Numerical analysis ; Reliability analysis ; Reliability engineering ; Sampling ; Studies ; System reliability</subject><ispartof>Reliability engineering & system safety, 2018-01, Vol.169, p.199-208</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c328t-290fe17e6c0c5766c21ec19e454bc6f2d0821c04600c755523fadf2de379faef3</citedby><cites>FETCH-LOGICAL-c328t-290fe17e6c0c5766c21ec19e454bc6f2d0821c04600c755523fadf2de379faef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0951832016306378$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Gong, C.</creatorcontrib><creatorcontrib>Zhou, W.</creatorcontrib><title>Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes</title><title>Reliability engineering & system safety</title><description>•Important sampling method for reliability analysis of corroding pipelines.•Consider multiple active corrosion defects and multiple failure modes.•Excellent accuracy and efficiency demonstrated on diverse numerical examples.
The importance sampling (IS) technique is employed to evaluate the time-dependent system reliability of corroding pipeline segments containing multiple active corrosion defects by considering two competing failure modes, small leak and burst. The IS density functions in the standard normal space for incremental probabilities of small leak and burst of the pipe segment over a short time period are established as the weighted averages of the IS density functions for small leak and burst, respectively, at individual corrosion defects. The IS density functions for incremental probabilities of small leak and burst of individual defects are centred at the design points in the corresponding failure domains. Four numerical examples that are representative of the onshore gas transmission pipelines in the US are used to illustrate the application of the proposed methodology. The results demonstrate the excellent accuracy and efficiency of the methodology.</description><subject>Bursting</subject><subject>Corrosion</subject><subject>Density</subject><subject>Design defects</subject><subject>Failure analysis</subject><subject>Failure modes</subject><subject>Gas pipelines</subject><subject>Gas transmission</subject><subject>Importance sampling</subject><subject>Natural gas</subject><subject>Numerical analysis</subject><subject>Reliability analysis</subject><subject>Reliability engineering</subject><subject>Sampling</subject><subject>Studies</subject><subject>System reliability</subject><issn>0951-8320</issn><issn>1879-0836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOI7-AVcB16036SMtuBHxMTDgRtchk95IStvU3I4w_94M49rVhcP5LoePsVsBuQBR3_d5RKJcglA5NDnI4oytRKPaDJqiPmcraCuRNYWES3ZF1ANA2VZqxcJmnENczGSRkxnnwU9f2c4QdpwOtODIIw7e7PzglwM3kxkO5IkHx22IMXSpzmc_p86ElLKJfIfxmI77YfHzgNwZP-wj8jF0SNfswpmB8Obvrtnny_PH01u2fX_dPD1uM1vIZslkCw6FwtqCrVRdWynQihbLqtzZ2skOGikslDWAVVVVycKZLsVYqNYZdMWa3Z3-zjF875EW3Yd9TPNJi1YpKQuRzKyZPLVsDEQRnZ6jH008aAH6KFb3-ihWH8VqaHQSm6CHE4Rp_4_HqMl6TAI7H9Euugv-P_wXpbWEvg</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Gong, C.</creator><creator>Zhou, W.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>SOI</scope></search><sort><creationdate>201801</creationdate><title>Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes</title><author>Gong, C. ; Zhou, W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-290fe17e6c0c5766c21ec19e454bc6f2d0821c04600c755523fadf2de379faef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bursting</topic><topic>Corrosion</topic><topic>Density</topic><topic>Design defects</topic><topic>Failure analysis</topic><topic>Failure modes</topic><topic>Gas pipelines</topic><topic>Gas transmission</topic><topic>Importance sampling</topic><topic>Natural gas</topic><topic>Numerical analysis</topic><topic>Reliability analysis</topic><topic>Reliability engineering</topic><topic>Sampling</topic><topic>Studies</topic><topic>System reliability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gong, C.</creatorcontrib><creatorcontrib>Zhou, W.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Environment Abstracts</collection><jtitle>Reliability engineering & system safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gong, C.</au><au>Zhou, W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes</atitle><jtitle>Reliability engineering & system safety</jtitle><date>2018-01</date><risdate>2018</risdate><volume>169</volume><spage>199</spage><epage>208</epage><pages>199-208</pages><issn>0951-8320</issn><eissn>1879-0836</eissn><abstract>•Important sampling method for reliability analysis of corroding pipelines.•Consider multiple active corrosion defects and multiple failure modes.•Excellent accuracy and efficiency demonstrated on diverse numerical examples.
The importance sampling (IS) technique is employed to evaluate the time-dependent system reliability of corroding pipeline segments containing multiple active corrosion defects by considering two competing failure modes, small leak and burst. The IS density functions in the standard normal space for incremental probabilities of small leak and burst of the pipe segment over a short time period are established as the weighted averages of the IS density functions for small leak and burst, respectively, at individual corrosion defects. The IS density functions for incremental probabilities of small leak and burst of individual defects are centred at the design points in the corresponding failure domains. Four numerical examples that are representative of the onshore gas transmission pipelines in the US are used to illustrate the application of the proposed methodology. The results demonstrate the excellent accuracy and efficiency of the methodology.</abstract><cop>Barking</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ress.2017.08.023</doi><tpages>10</tpages></addata></record> |
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subjects | Bursting Corrosion Density Design defects Failure analysis Failure modes Gas pipelines Gas transmission Importance sampling Natural gas Numerical analysis Reliability analysis Reliability engineering Sampling Studies System reliability |
title | Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes |
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