Using FEM and artificial networks to predict on elastic buckling load of perforated rectangular plates under linearly varying in-plane normal load

Basit Öğe Kaydı
dc.authoridSonmez, Mustafa -- 0000-0001-6703-9944
dc.contributor.authorSönmez, Mustafa
dc.contributor.authorKömür, Mehmet Aydin
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T09:16:03Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T09:16:03Z
dc.date.issued2010
dc.departmentMühendislik Fakültesi
dc.description.abstractElastic buckling load of perforated steel plates is typically predicted using the finite element or conjugate load/displacement methods. In this paper an artificial neural network (ANN)-based formula is presented for the prediction of the elastic buckling load of rectangular plates having a circular cutout. By using this formula, the elastic buckling load of perforated plates can be calculated easily without setting up an ANN platform. In this study, the center of a circular cutout was chosen at different locations along the longitudinal x-axis of plates subjected to linearly varying loading. The results of the finite element method (FEM) produced by the commercial software package ANSYS are used to train and test the network. The accuracy of the proposed formula based on the trained ANN model is evaluated by comparing with the results of different researchers. The results show that the presented ANN-based formula is practical in predicting the elastic buckling load of perforated plates without the need of an ANN platform.
dc.identifier.doi10.12989/sem.2010.34.2.159
dc.identifier.endpage174en_US
dc.identifier.issn1225-4568
dc.identifier.issn1598-6217
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ2
dc.identifier.startpage159en_US
dc.identifier.urihttps://doi.org/10.12989/sem.2010.34.2.159
dc.identifier.urihttps://hdl.handle.net/20.500.12451/4523
dc.identifier.volume34en_US
dc.identifier.wosWOS:000276433500002
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTechno Press
dc.relation.ispartofStructural Engineering and Mechanics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Neural Networks
dc.subjectPlate Buckling
dc.subjectPerforated Plates
dc.subjectLinearly Varying Loading
dc.subjectExplicit Formula
dc.titleUsing FEM and artificial networks to predict on elastic buckling load of perforated rectangular plates under linearly varying in-plane normal load
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
sonmez-mustafa-2010.pdf
Boyut:
747.54 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu