Research of the crack problem of a functionally graded layer

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Özet

In this study, the two-dimensional crack problem was investigated by using the finite element method (FEM)based ANSYS package program and the artificial neural network (ANN)-based multilayer perceptron (MLP) method. For this purpose, a half-infinite functionally graded (FG) layer with a crack pressed through two rigid blocks was analyzed using FEM and ANN. Mass forces and friction were neglected in the solution. To control the validity of the crack problem model exercised, the acquired results were compared with a study in the literature. In addition, FEM and ANN results were checked using Root Mean Square Error (RMSE) and coefficient of determination (R2), and a well agreement was found. Numerical solutions were made considering different geometric parameters and material properties. The stress intensity factor (SIF) was examined for these values, and the results were presented. Consequently, it is concluded that the considered non-dimensional quantities have a noteworthy influence on the SIF. Also FEM and ANN can be logical alternative methods to time-consuming analytical solutions if used correctly.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/11641Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.12989/scs.2024.50.1.077Yayıncı resmi DOI adresi
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Scopus
27
WoS
30
OpenAlex
6
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorYaylacı, Murat
dc.contributor.authorYaylacı, Ecren Uzun
dc.contributor.authorTuran, Muhittin
dc.contributor.authorÖzdemir, Mehmet Emin
dc.contributor.authorÖztürk, Şevval
dc.contributor.authorAy, Sevil
dc.date.accessioned2026-10-29T19:08:37.666082377Z
dc.date.available2026-10-29T19:08:37.666082377Z
dc.date.issued2024
dc.description.abstractIn this study, the two-dimensional crack problem was investigated by using the finite element method (FEM)based ANSYS package program and the artificial neural network (ANN)-based multilayer perceptron (MLP) method. For this purpose, a half-infinite functionally graded (FG) layer with a crack pressed through two rigid blocks was analyzed using FEM and ANN. Mass forces and friction were neglected in the solution. To control the validity of the crack problem model exercised, the acquired results were compared with a study in the literature. In addition, FEM and ANN results were checked using Root Mean Square Error (RMSE) and coefficient of determination (R2), and a well agreement was found. Numerical solutions were made considering different geometric parameters and material properties. The stress intensity factor (SIF) was examined for these values, and the results were presented. Consequently, it is concluded that the considered non-dimensional quantities have a noteworthy influence on the SIF. Also FEM and ANN can be logical alternative methods to time-consuming analytical solutions if used correctly.
dc.identifier.doi10.12989/scs.2024.50.1.077
dc.identifier.eissn1598-6233
dc.identifier.endpage87
dc.identifier.issn1229-9367
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85188159062
dc.identifier.startpage77
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/11641
dc.identifier.volume50
dc.identifier.wosWOS:001195557200002
dc.language.isoen
dc.publisherTechno-Press
dc.relation.ispartofSteel and Composite Structures
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectartificial neural network
dc.subjectfinite element method
dc.subjectfracture mechanics
dc.subjectfunctionally graded layer
dc.subjectstress intensity factor
dc.subject.classificationConstruction & Building Technology
dc.subject.classificationEngineering, Civil
dc.subject.classificationMaterials Science, Composites
dc.subject.classificationEngineering
dc.subject.classificationMaterials Science
dc.subject.otherCracks
dc.subject.otherFracture mechanics
dc.subject.otherMean square error
dc.subject.otherMultilayer neural networks
dc.subject.otherStress intensity factors
dc.subject.otherANSYS package
dc.subject.otherCrack problems
dc.subject.otherFractures mechanics
dc.subject.otherFunctionally graded layers
dc.subject.otherMass force
dc.subject.otherMultilayers perceptrons
dc.subject.otherNetwork-based
dc.subject.otherRigid block
dc.subject.otherStress-intensity factors
dc.subject.otherTwo-dimensional
dc.subject.otherFinite element method
dc.titleResearch of the crack problem of a functionally graded layer
dc.typeArticle
rdl.citation.openalex6
rdl.citation.scopus27
rdl.citation.wos30
rdl.oa.statusclosed
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)