| Revue: | Journal of the Brazilian Society of Mechanical Sciences and Engineering |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000312269 |
| ISSN: | 1678-5878 |
| Autores: | Lima, L.R.O. de1 Vellasco, P.C.G. da S Andrade, S.A.L. de Silva, J.G.S. da Vellasco, M.M.B.R2 |
| Instituciones: | 1Universidade do Estado do Rio de Janeiro, Faculdade de Engenharia, Rio de Janeiro. Brasil 2Pontificia Universidade Catolica do Rio de Janeiro, Departamento de Engenharia Eletrica, Rio de Janeiro. Brasil |
| Año: | 2005 |
| Periodo: | Jul-Sep |
| Volumen: | 27 |
| Número: | 3 |
| Paginación: | 314-324 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Experimental |
| Resumen en inglés | This paper proposes the use of artificial neural networks to predict the flexural resistance and initial stiffness of beam-to-column steel joints using the back propagation supervised learning algorithm. Three types of steel beam-to-column joints were investigated: welded, endplate and bolted with top, seat and double web angles, respectively. The neural networks results proved to be consistent with experimental and design code reference values |
| Disciplinas: | Ingeniería, Ciencias de la computación |
| Palabras clave: | Ingeniería civil, Ingeniería de control, Ingeniería mecánica, Redes neuronales artificiales, Estructuras de acero, Acero, Juntas semi-rígidas, Flexión |
| Keyword: | Engineering, Computer science, Civil engineering, Control engineering, Mechanical engineering, Structural engineering, Semi-rigid joints, Steel structures, Artificial neural networks, Steel, Flexure |
| Texte intégral: | Texto completo (Ver HTML) |
