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dc.contributor.authorH. El Kadi
dc.contributor.authorI. M. Deiab
dc.contributor.authorM. Al-Assadi
dc.date.accessioned2017-05-09T00:44:02Z
dc.date.available2017-05-09T00:44:02Z
dc.date.copyrightApril, 2011
dc.date.issued2011
dc.identifier.issn0094-4289
dc.identifier.otherJEMTA8-27139#021022_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/146191
dc.description.abstractPolynomial classifiers (PC) have already been shown to produce good fatigue life prediction for a specific composite under a variety of fatigue loading conditions. In this study, polynomial classifiers are used to predict the fatigue life in other composite materials not used in training. Different composite materials with a variety of fiber orientation angles are considered. The predictions obtained using PC are compared with the experimental results and are shown to be promising.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleFatigue Life Prediction of Different Fiber-Reinforced Composites Using Polynomial Classifiers
dc.typeJournal Paper
dc.journal.volume133
dc.journal.issue2
dc.journal.titleJournal of Engineering Materials and Technology
dc.identifier.doi10.1115/1.4003566
dc.journal.fristpage21022
dc.identifier.eissn1528-8889
dc.keywordsFatigue life
dc.keywordsPolynomials
dc.keywordsFatigue
dc.keywordsComposite materials AND Fibers
dc.treeJournal of Engineering Materials and Technology:;2011:;volume( 133 ):;issue: 002
dc.contenttypeFulltext


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