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contributor authorZhang, Xinfang
contributor authorLi, Yong
contributor authorYoosef-Ghodsi, Nader
contributor authorLeung, Juliana Y.
contributor authorAdeeb, Samer
date accessioned2026-08-20T12:04:49Z
date available2026-08-20T12:04:49Z
date copyright2026/01/22
date issued2026
identifier otherJPSEA2.PSENG-1849.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313069
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. ...
publisherAmerican Society of Civil Engineers
titleANN and XFEM-Driven Predictive Framework for Axial Crack Failure in Pipelines: Advancing beyond CorLAS
typeJournal Article
journal volume17
journal issue2
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/JPSEA2.PSENG-1849
journal fristpage04026011-1
journal lastpage04026011-11
page11
treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 002
contenttypeFulltext


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