Free vibration of axially or transversely graded beams using finite-element and artificial intelligence

Basit Öğe Kaydı
dc.authorid0000-0002-9204-5868
dc.contributor.authorYildirim, Sefa
dc.date.accessioned2026-01-24T12:31:04Z
dc.date.available2026-01-24T12:31:04Z
dc.date.issued2022
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe effect of grading direction on the natural frequencies of heterogeneous isotropic beams is investigated and the artificial neural network approach is conducted to estimate the free vibration characteristics. The two-dimensional beam is graded in axial or transverse direction according to the power-law form. An artificial neural network model has been developed to estimate relationship between material properties and model, grading direction, slenderness ratio as an input layer and natural frequencies obtained by Finite-Element method as an output layer. The Levenberg-Marquardt back-propagation method is used as a training algorithm. The novelty of this study is that it deals with the estimation of free vibration characteristics of beams made of functionally-graded material using aforementioned input layer for the first time. The proposed artificial neural network model can predict the natural frequencies without the need for a solution of any differential equation or time-consuming experimental processes. The results show that artificial intelligence techniques can be efficiently adopted to free vibration problems of functionally graded beams. The influence of grading direction on the natural frequency is also demonstrated. (C) 2021 THE AUTHOR. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
dc.identifier.doi10.1016/j.aej.2021.07.004
dc.identifier.endpage2229
dc.identifier.issn1110-0168
dc.identifier.issn2090-2670
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85111563571
dc.identifier.scopusqualityQ1
dc.identifier.startpage2220
dc.identifier.urihttps://doi.org/10.1016/j.aej.2021.07.004
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5626
dc.identifier.volume61
dc.identifier.wosWOS:000744585200016
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofAlexandria Engineering Journal
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260121
dc.subjectFree vibration
dc.subjectFunctionally-graded materials
dc.subjectBeams
dc.subjectArtificial neural network
dc.subjectFinite-element method
dc.titleFree vibration of axially or transversely graded beams using finite-element and artificial intelligence
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu