Article(id=1281608060242215699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.04.0454, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1762704000000, receivedDateStr=2025-11-10, revisedDate=1767974400000, revisedDateStr=2026-01-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488772688, onlineDateStr=2026-07-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488772688, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488772688, creator=13701087609, updateTime=1783488772688, updator=13701087609, issue=Issue{id=1281608054340829934, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='4', pageStart='1', pageEnd='286', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488771281, creator='13701087609', updateTime=1783588648031, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282026967885124001, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282026967885124002, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=57, endPage=64, ext={EN=ArticleExt(id=1281608060451930900, articleId=1281608060242215699, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Risk assessment for overdue in-service pressure pipelines based on BOA-SAM-FTA, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

To investigate the failure issues of overdue in-service pressure pipelines, this paper proposed a method based on integration of BOA and SAM for analyzing the failure probability of such pipelines, building upon the FTA framework. First, the causes of failure in overdue in-service pressure pipelines were analyzed, and a fault tree for failure was established. Then, experts were invited to evaluate the basic events of fault tree, and their opinions were aggregated using SAM method and an improved BOA-SAM approach. The accuracy of aggregation was assessed by comparing the uncertainty values of two methods (the lower the uncertainty value, the more precise the aggregation result). Finally, the failure probability of the top event was calculated, and an importance analysis was conducted. The results show that the uncertainty values of the aggregation results obtained using the improved BOA-SAM are significantly lower than those of SAM method. Notably, for the basic event X6, the uncertainty value decreased by 7.6%. The failure probability of the top event is calculated to be 0.117 641. Stress corrosion cracking, third-party damage, weld cracking and excessive H2S content in the medium are identified as the key factors contributing to the occurrence of accidents. This study provides a scientific and logical approach for risk assessment and failure analysis of overdue in-service pressure pipelines.

, authors=Huabin Tang1, Lei Xu1, Siyu Chen**, 2, Songhua Ma3, authorsList=Huabin Tang, Lei Xu, Siyu Chen, Songhua Ma, authorCompany=null, correspAuthors=Siyu Chen, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281608061072687895, articleId=1281608060242215699, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于BOA-SAM-FTA的超期服役压力管道风险评估, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为预防超期服役压力管道失效,在故障树分析法(FTA)基础上,提出基于蝴蝶优化算法(BOA)与相似聚合法(SAM)相结合的方法,分析超期服役压力管道失效概率。首先,分析超期压力管道失效原因,建立失效故障树;然后,通过邀请专家评估故障树底事件,并通过SAM方法和改进BOA-SAM聚合专家意见,计算对比2种方法的不确定性值来评估聚合的准确性(不确定性值越小,聚合结果越精确);最后,计算顶事件失效概率并进行重要度分析。结果表明:改进后的BOA-SAM方法所得聚合结果的不确定性值,均显著低于传统SAM方法,其中最明显的为底事件X6,其不确定性值降低7.6%,顶事件的失效概率为0.117 641;应力腐蚀开裂、第三方破坏、焊缝开裂和介质中H2S含量偏高等为事故发生的关键因素。

, authors=唐华彬1, 许磊教授1, 陈思宇高级工程师**, 2, 马松华高级工程师3, authorsList=唐华彬, 许磊教授, 陈思宇高级工程师, 马松华高级工程师, authorCompany=null, correspAuthors=陈思宇高级工程师, authorNote=

唐华彬(2001—),男,四川内江人,硕士研究生,研究方向为承压设备风险评估。E-mail:

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** 陈思宇(1989—),男,新疆乌鲁木齐人,硕士,高级工程师,主要从事特种设备检验检测与安全评估等方面的工作。E-mail:
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基于BOA-SAM-FTA的超期服役压力管道风险评估
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唐华彬 1 , 许磊教授 1 , 陈思宇高级工程师 **, 2 , 马松华高级工程师 3
中国安全科学学报 | 安全科学理论与方法 2026,36(4): 57-64
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中国安全科学学报 |安全科学理论与方法 2026 , 36 (4) : 57 -64
基于BOA-SAM-FTA的超期服役压力管道风险评估
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唐华彬1 , 许磊教授1, 陈思宇高级工程师**, 2 , 马松华高级工程师3
作者信息
  • 1中国石油大学(北京) 克拉玛依校区工学院,新疆 克拉玛依 834000
  • 2招商新疆特种设备检验技术研究院有限公司,新疆 乌鲁木齐 830011
  • 3中国石油新疆分公司 采油工艺研究院,新疆 克拉玛依 834000
通讯作者:
** 陈思宇(1989—),男,新疆乌鲁木齐人,硕士,高级工程师,主要从事特种设备检验检测与安全评估等方面的工作。E-mail:
作者简介:

唐华彬(2001—),男,四川内江人,硕士研究生,研究方向为承压设备风险评估。E-mail:

Risk assessment for overdue in-service pressure pipelines based on BOA-SAM-FTA
Huabin Tang1 , Lei Xu1, Siyu Chen**, 2 , Songhua Ma3
Affiliations
  • 1School of Engineering, China University of Petroleum-Beijing at Karamay, Karamay Xinjiang 834000, China
  • 2China Merchants Xinjiang Special Equipment Inspection & Research Institute Co., Ltd., Urumqi Xinjiang 830011, China
  • 3Oil Production Technology Research Institute, Petro China Xinjiang Oilfield Company, Karamay Xinjiang 834000, China
出版时间: 2026-04-28 doi: 10.16265/j.cnki.issn1003-3033.2026.04.0454
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为预防超期服役压力管道失效,在故障树分析法(FTA)基础上,提出基于蝴蝶优化算法(BOA)与相似聚合法(SAM)相结合的方法,分析超期服役压力管道失效概率。首先,分析超期压力管道失效原因,建立失效故障树;然后,通过邀请专家评估故障树底事件,并通过SAM方法和改进BOA-SAM聚合专家意见,计算对比2种方法的不确定性值来评估聚合的准确性(不确定性值越小,聚合结果越精确);最后,计算顶事件失效概率并进行重要度分析。结果表明:改进后的BOA-SAM方法所得聚合结果的不确定性值,均显著低于传统SAM方法,其中最明显的为底事件X6,其不确定性值降低7.6%,顶事件的失效概率为0.117 641;应力腐蚀开裂、第三方破坏、焊缝开裂和介质中H2S含量偏高等为事故发生的关键因素。

蝴蝶优化算法(BOA)  /  相似聚合法(SAM)  /  故障树分析法(FTA)  /  超期服役压力管道  /  风险评估  /  失效概率

To investigate the failure issues of overdue in-service pressure pipelines, this paper proposed a method based on integration of BOA and SAM for analyzing the failure probability of such pipelines, building upon the FTA framework. First, the causes of failure in overdue in-service pressure pipelines were analyzed, and a fault tree for failure was established. Then, experts were invited to evaluate the basic events of fault tree, and their opinions were aggregated using SAM method and an improved BOA-SAM approach. The accuracy of aggregation was assessed by comparing the uncertainty values of two methods (the lower the uncertainty value, the more precise the aggregation result). Finally, the failure probability of the top event was calculated, and an importance analysis was conducted. The results show that the uncertainty values of the aggregation results obtained using the improved BOA-SAM are significantly lower than those of SAM method. Notably, for the basic event X6, the uncertainty value decreased by 7.6%. The failure probability of the top event is calculated to be 0.117 641. Stress corrosion cracking, third-party damage, weld cracking and excessive H2S content in the medium are identified as the key factors contributing to the occurrence of accidents. This study provides a scientific and logical approach for risk assessment and failure analysis of overdue in-service pressure pipelines.

butterfly optimization algorithm (BOA)  /  similarity aggregation method (SAM)  /  fault tree analysis (FTA)  /  overdue in-service pressure pipelines  /  risk assessment  /  failure probability
唐华彬, 许磊教授, 陈思宇高级工程师, 马松华高级工程师. 基于BOA-SAM-FTA的超期服役压力管道风险评估. 中国安全科学学报, 2026 , 36 (4) : 57 -64 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0454
Huabin Tang, Lei Xu, Siyu Chen, Songhua Ma. Risk assessment for overdue in-service pressure pipelines based on BOA-SAM-FTA[J]. China Safety Science Journal, 2026 , 36 (4) : 57 -64 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0454
  • 中国石油新疆油田分公司科技项目(2024-C4013)
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2026年第36卷第4期
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doi: 10.16265/j.cnki.issn1003-3033.2026.04.0454
  • 接收时间:2025-11-10
  • 首发时间:2026-07-08
  • 出版时间:2026-04-28
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  • 收稿日期:2025-11-10
  • 修回日期:2026-01-10
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中国石油新疆油田分公司科技项目(2024-C4013)
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    1中国石油大学(北京) 克拉玛依校区工学院,新疆 克拉玛依 834000
    2招商新疆特种设备检验技术研究院有限公司,新疆 乌鲁木齐 830011
    3中国石油新疆分公司 采油工艺研究院,新疆 克拉玛依 834000

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** 陈思宇(1989—),男,新疆乌鲁木齐人,硕士,高级工程师,主要从事特种设备检验检测与安全评估等方面的工作。E-mail:
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2种不同金属材料的力学参数

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Number of
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种数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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