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A neural network approach to the modelling, calculation and identification of semi-rigid connections in steel structures

Panagiotopoulos, P. D., 1950-, Stavroulakis Georgios, K.M. Abdalla, Avdelas, A

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URIhttp://purl.tuc.gr/dl/dias/DEF93FC8-5AD9-4C30-A38E-A686D1EBA1A1-
Identifierhttps://doi.org/10.1016/S0143-974X(97)00039-4-
Languageen-
Extent15 pagesen
TitleA neural network approach to the modelling, calculation and identification of semi-rigid connections in steel structuresen
CreatorPanagiotopoulos, P. D., 1950-en
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
Creator K.M. Abdallaen
CreatorAvdelas, Aen
PublisherElsevieren
Content SummaryA two-stage neural network approach is proposed for the elastoplastic analysis of steel structures with semi-rigid connections. At the first stage, the moment-rotation law of the connection is obtained from experimental results by the use of a neural network based on the perceptron model. At the second stage, the elastoplastic analysis problem is formulated for the given moment-rotation law as a Quadratic Programming Problem and solved by a neural network based on the Hopfield model.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-11-
Date of Publication1997-
SubjectApplied mechanicsen
SubjectEngineering, Mechanicalen
Subjectmechanics applieden
Subjectapplied mechanicsen
Subjectengineering mechanicalen
Bibliographic CitationG.E. Stavroulakis, A.V. Avdelas, K.M. Abdalla, P.D. Panagiotopoulos, "A neural network approach to the modelling, calculation and identification of semi-rigid connections in steel structures," J.of Const. Steel Res., vol.44, no.1–2, pp. Pages 91–105, Oct.r–Nov. 1997. doi:10.1016/S0143-974X(97)00039-4en

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