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dc.contributor.authorXu, Duo
dc.contributor.authorYang, Kai
dc.contributor.authorZheng, Honglong
dc.contributor.authorLi, Hua
dc.contributor.authorChen, Liqiong
dc.contributor.authorSun, Qiaofei
dc.date.accessioned2026-08-20T12:05:47Z
dc.date.available2026-08-20T12:05:47Z
dc.date.copyright2025/10/15
dc.date.issued2026
dc.identifier.otherJPSEA2.PSENG-1909.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313091
dc.description.abstractAbstractThird-party excavation activities are among the primary causes of pipeline failure. A scientific evaluation is required to prevent failures of natural gas pipelines under such activities. This study develops a comprehensive quantitative evaluation ...
dc.publisherAmerican Society of Civil Engineers
dc.titleResearch on the Reliability Assessment Method of a Natural Gas Pipeline under Third-Party Excavation Loads Based on Machine-Learning Models
dc.typeJournal Article
dc.journal.volume17
dc.journal.issue1
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1909
dc.journal.fristpage04025102-1
dc.journal.lastpage04025102-11
dc.page11
dc.treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
dc.contenttypeFulltext


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