Application of artificial neural networks in the analysis of the continuous contact problem

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dc.authoridYaylaci, Murat/0000-0003-0407-1685
dc.authoriduzun yaylaci, ecren/0000-0002-2558-2487
dc.authoridBirinci, Ahmet/0000-0002-5913-7699
dc.authoridOZDEMIR, Mehmet Emin/0000-0001-7983-7265
dc.contributor.authorYaylaci, Ecren Uzun
dc.contributor.authorOner, Erdal
dc.contributor.authorYaylaci, Murat
dc.contributor.authorOzdemir, Mehmet Emin
dc.contributor.authorAbushattal, Ahmad
dc.contributor.authorBirinci, Ahmet
dc.date.accessioned2024-10-04T18:48:17Z
dc.date.available2024-10-04T18:48:17Z
dc.date.issued2022
dc.departmentBayburt Üniversitesien_US
dc.description.abstractThis paper investigates the artificial neural network (ANN) to predict the dimensionless parameters for contact pressures and contact lengths under the rigid punch, the initial separation loads, and the initial separation distances of a contact problem. The problem consisted of two elastic infinitely layers (EL) loaded by means of a rigid cylindrical punch and resting on a half-infinite plane (HP). Firstly, the problem was formulated and solved theoretically using the Theory of Elasticity (ET). Secondly, the contact problem was extended based on the ANN. External load, the radius of punch, layer heights, and material properties were created by giving examples of different values used at the training and test stages of ANN. Finally, the accuracy of the trained neural networks for the case was tested using 134 new data, generated via ET solutions to determine the best network model. ANN results were compared with ET results, and well agreements were achieved.en_US
dc.identifier.doi10.12989/sem.2022.84.1.035
dc.identifier.endpage48en_US
dc.identifier.issn1225-4568
dc.identifier.issn1598-6217
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85140044764en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage35en_US
dc.identifier.urihttps://doi.org/10.12989/sem.2022.84.1.035
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3006
dc.identifier.volume84en_US
dc.identifier.wosWOS:000872489000003en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTechno-Pressen_US
dc.relation.ispartofStructural Engineering and Mechanicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural networken_US
dc.subjectcontact problemen_US
dc.subjecttheory of elasticityen_US
dc.titleApplication of artificial neural networks in the analysis of the continuous contact problemen_US
dc.typeArticleen_US

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