Using a feed forward ANN to model the inelastic behaviour of confined sandwich panels

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datacite.alternateIdentifier.citationSTRUCTURAL ENGINEERING AND MECHANICS,Vol.71,545-552,2019
datacite.alternateIdentifier.doi10.12989/sem.2019.71.5.545
datacite.creatorMarante, Maria E.
datacite.creatorBarreto Cordero, Wilmer
datacite.creatorPicón Rodríguez, Ricardo
datacite.date2019
datacite.subject.englishArtificial Neural Networks
datacite.subject.englishinelastic behavior
datacite.subject.englishcomposed panels
datacite.subject.englishnon-traditional structures
datacite.subject.englishpermanent displacement
datacite.titleUsing a feed forward ANN to model the inelastic behaviour of confined sandwich panels
dc.date.accessioned2021-04-30T16:31:17Z
dc.date.available2021-04-30T16:31:17Z
dc.description.abstractThe analysis and design of complex structures like sandwich-panel elements are difficult; the use of finite element method for the analysis is complicated and time consuming when non-linear effects are considered. On the other hand, artificial neural network (ANN) models can capture the non-linear effects and its application requires lesser computational demand. Two ANN models were trained, tested and validated to compute the force for a given displacement of a sandwich-type roof element; 2555 force and element deformation pairs were used for training the ANN models. For the models trained without considering the damping effect, there were two values in the input layer: maximum displacement and current displacement, and for the model considering damping, displacement from the previous step was used as an additional input. Totally, 400 ANN models were trained. Results show that there is a good agreement between the experimental and simulated data, and the models showed a good performance with a mean square error value of 4548.85. Both the ANN models could simulate the inelastic behaviour, loss of rigidity, and evolution of permanent displacements. The models could also interpolate and extrapolate, which enables them to be used as an analysis and design tool for such complex elements.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/2868
dc.language.isoen
dc.publisherTECHNO-PRESS
dc.sourceSTRUCTURAL ENGINEERING AND MECHANICS
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
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