Resumo

ARCILA ZEA, Jorge; RIVEROS JEREZ, Carlos Alberto  e  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.

Palavras-chave : Optimization; artificial neural networks (ANN); drift; seismic design; framed structures.

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