![Institutional Repository [SANDBOX]](images/dias.logo.png "Institutional Repository [SANDBOX]"){kind=logo}
Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI: | http://purl.tuc.gr/dl/dias/DEF93FC8-5AD9-4C30-A38E-A686D1EBA1A1 | ||
| Year | 1997 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
| License |
|
||
| 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 https://doi.org/10.1016/S0143-974X(97)00039-4 | ||
| Appears in Collections |
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.
Copyright © DIAS 2013
