Implementation of finite element and artificial neural network methods to analyze the contact problem of a functionally graded layer containing crack

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dc.contributor.authorYaylacı, Murat
dc.contributor.authorUzun Yaylacı, Ecren
dc.contributor.authorÖzdemir, Mehmet Emin
dc.contributor.authorAy, Sevil
dc.contributor.authorÖzturk, Sevval
dc.date.accessioned2023-02-23T09:08:18Z
dc.date.available2023-02-23T09:08:18Z
dc.date.issued2022
dc.departmentAÇÜ, Borçka Acarlar Meslek Yüksekokulu, Yapı Denetimi Bölümüen_US
dc.description.abstractIn this study, a two-dimensional model of the contact problem has been examined using the finite element method (FEM) based software ANSYS and based on the multilayer perceptron (MLP), an artificial neural network (ANN). For this purpose, a functionally graded (FG) half-infinite layer (HIL) with a crack pressed by means of two rigid blocks has been solved using FEM. Mass forces and friction are neglected in the solution. Since the problem is analyzed for the plane state, the thickness along the z-axis direction is taken as a unit. To check the accuracy of the contact problem model the results are compared with a study in the literature. In addition, ANSYS and MLP results are compared using Root Mean Square Error (RMSE) and coefficient of determination (R2), and good agreement is found. Numerical solutions are made by considering different values of external load, the width of blocks, crack depth, and material properties. The stresses on the contact surfaces between the blocks and the FG HIL are examined for these values, and the results are presented. Consequently, it is concluded that the considered non-dimensional quantities have a noteworthy influence on the contact stress distributions, and also, FEM and ANN can be efficient alternative methods to time-consuming analytical solutions if used correctly.
dc.identifier.citationYayIacı,M., Uzun YayIacı,, E., Özdemir,M.E., Ay, S., & Özturk, Ş. (2022). Implementation of finite element and artificial neural network methods to analyze the contact problem of a functionally graded layer containing crack. Steel and Composite Structures, 45(4), 501-511. ‌ ‌en_US
dc.identifier.doi10.12989/scs.2022.45.4.501
dc.identifier.endpage511en_US
dc.identifier.issue4en_US
dc.identifier.startpage501en_US
dc.identifier.urihttps://doi.org/10.12989/scs.2022.45.4.501
dc.identifier.urihttps://hdl.handle.net/11494/4718
dc.identifier.volume45en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.institutionauthorAy, Sevil
dc.language.isoenen_US
dc.publisherTECHNO-PRESSen_US
dc.relation.ispartofSteel and Composite Structures
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectContact mechanicsen_US
dc.subjectFinite element methoden_US
dc.subjectFunctionally gradeden_US
dc.titleImplementation of finite element and artificial neural network methods to analyze the contact problem of a functionally graded layer containing cracken_US
dc.typeArticle

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