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dc.contributor.authorBrahim, Abdelmoumin Oulad
dc.contributor.authorCapozucca, Roberto
dc.contributor.authorFantuzzi, Nicholas
dc.contributor.authorKhatir, Samir
dc.contributor.authorCuong-Le, Thanh
dc.date.accessioned2026-08-20T10:51:16Z
dc.date.available2026-08-20T10:51:16Z
dc.date.copyright2025/12/09
dc.date.issued2026
dc.identifier.otherJENMDT.EMENG-8663.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311354
dc.description.abstractAbstractIn this paper, a comprehensive modal analysis is conducted, utilizing experimental and numerical approaches to investigate and predict the influence of the damage size on structural behavior. A finite element (FE) model is created from different ...
dc.publisherAmerican Society of Civil Engineers
dc.titleExperimental and Machine Learning Models for Stress Amplitude Prediction in Damaged GFRP Composite Pipe
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue2
dc.journal.titleJournal of Engineering Mechanics
dc.identifier.doi10.1061/JENMDT.EMENG-8663
dc.journal.fristpage04025099-1
dc.journal.lastpage04025099-15
dc.page15
dc.treeJournal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 002
dc.contenttypeFulltext


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