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The projective–iterative method and neural network estimation for buckling of elastic plates in nonlinear theory

Stavroulakis Georgios, Aliki D. Muradova

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URIhttp://purl.tuc.gr/dl/dias/C91BF192-D932-46F2-B31C-C409CDC91DD9-
Identifierhttps://doi.org/10.1016/j.cnsns.2005.09.001-
Languageen-
Extent20 pagesen
TitleThe projective–iterative method and neural network estimation for buckling of elastic plates in nonlinear theoryen
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
CreatorAliki D. Muradovaen
PublisherElsevieren
Content SummaryThe paper deals with a nonlinear buckling problem for von Karman elastic plates in bending. The simply supported and partially clamped plates are considered. A variational-projective approach with an iterative scheme is suggested for the calculation of eigenfunctions and the buckling loads for the studied problem. The convergence of the projective–iterative method is investigated. The bifurcation scenario is demonstrated by examples. Numerical results show the effectiveness of the proposed method. Prediction of the eigenvalues (which are the bifurcation points of the nonlinear problem) of the linearized problem with different sizes of the plate can also be done by an approximately trained neural network, as it is briefly demonstrated in this work.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-12-
Date of Publication2007-
SubjectApplied mechanicsen
SubjectEngineering, Mechanicalen
Subjectmechanics applieden
Subjectapplied mechanicsen
Subjectengineering mechanicalen
Bibliographic CitationAliki D. Muradova, Georgios E. Stavroulakis, "The projective–iterative method and neural network estimation for buckling of elastic plates in nonlinear theory," Commun. in Nonlinear Sc. and Numerical Simul. ,vol. 12, no.6, pp. 1068–1088, Sept. 2007. en

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