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ANN and XFEM-Driven Predictive Framework for Axial Crack Failure in Pipelines: Advancing beyond CorLAS

dc.contributor.authorZhang, Xinfang
dc.contributor.authorLi, Yong
dc.contributor.authorYoosef-Ghodsi, Nader
dc.contributor.authorLeung, Juliana Y.
dc.contributor.authorAdeeb, Samer
dc.date.accessioned2026-08-20T12:04:49Z
dc.date.available2026-08-20T12:04:49Z
dc.date.copyright2026/01/22
dc.date.issued2026
dc.identifier.otherJPSEA2.PSENG-1849.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313069
dc.description.abstractAbstractThe CorLAS model is widely used in the pipeline industry for predicting the failure pressure of pipelines with axial surface cracks, primarily due to its low computational and moderate prediction accuracy compared to other alternative models. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleANN and XFEM-Driven Predictive Framework for Axial Crack Failure in Pipelines: Advancing beyond CorLAS
dc.typeJournal Article
dc.journal.volume17
dc.journal.issue2
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1849
dc.journal.fristpage04026011-1
dc.journal.lastpage04026011-11
dc.page11
dc.treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 002
dc.contenttypeFulltext


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