Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Facultad de Ingeniería Universidad de Antioquia
Print version ISSN 0120-6230
Abstract
ARCILA ZEA, Jorge; RIVEROS JEREZ, Carlos Alberto and RIVERO JEREZ, Javier Enrique. Optimization of beam and column sections for compliance drift of reinforced concrete buildings using Artificial Neural Networks. Rev.fac.ing.univ. Antioquia [online]. 2014, n.70, pp.34-44. ISSN 0120-6230.
This article presents the application of Artificial Neural Networks (ANN) to estimate optimal sections of beams and reinforced concrete columns for symmetric framed buildings with 1-6 floors taking into consideration the minimum requirements of the NSR-10 related with drift and seismic design. It is also studied the sensitivity of drift to the values of dimensions of beams and columns providing a better understanding of this relationship in order to obtain optimal designs more quickly, easily and reliably as compared to current used procedures.
Keywords : Optimization; artificial neural networks (ANN); drift; seismic design; framed structures.