Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/DEF93FC8-5AD9-4C30-A38E-A686D1EBA1A1 | - |
| Identifier | https://doi.org/10.1016/S0143-974X(97)00039-4 | - |
| Language | en | - |
| Extent | 15 pages | en |
| Title | A neural network approach to the modelling, calculation and identification of semi-rigid connections in steel structures | en |
| Creator | Panagiotopoulos, P. D., 1950- | en |
| Creator | Stavroulakis Georgios | en |
| Creator | Σταυρουλακης Γεωργιος | el |
| Creator | K.M. Abdalla | en |
| Creator | Avdelas, A | en |
| Publisher | Elsevier | en |
| Content Summary | A 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 Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-11 | - |
| Date of Publication | 1997 | - |
| Subject | Applied mechanics | en |
| Subject | Engineering, Mechanical | en |
| Subject | mechanics applied | en |
| Subject | applied mechanics | en |
| Subject | engineering mechanical | en |
| Bibliographic Citation | G.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)00039-4 | en |
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