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dc.contributor.authorWang, Zhoufeng
dc.contributor.authorChen, Jialei
dc.contributor.authorLi, Quanxi
dc.contributor.authorXie, Kaiyu
dc.contributor.authorPu, Chaodong
dc.date.accessioned2026-08-20T12:04:14Z
dc.date.available2026-08-20T12:04:14Z
dc.date.copyright2025/09/25
dc.date.issued2026
dc.identifier.otherJPSEA2.PSENG-1799.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313056
dc.description.abstractAbstractSewage pipeline network accidents occur frequently, posing a serious threat to the life and property safety of residents. There is an urgent need for methods that can effectively identify the key factors of pipeline risk as well as accurately ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDouble-Layer Data-Driven Risk Assessment and Prediction of Drainage Pipeline Networks
dc.typeJournal Article
dc.journal.volume17
dc.journal.issue1
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1799
dc.journal.fristpage04025086-1
dc.journal.lastpage04025086-10
dc.page10
dc.treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
dc.contenttypeFulltext


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