Resumen

BOJORQUEZ MORA, Juan; TOLENTINO, Dante; RUIZ, Sonia E.  y  BOJORQUEZ, Edén. Diseño sísmico preliminar de edificios de concreto reforzado usando redes neuronales artificiales. Concr. cem. investig. desarro [online]. 2016, vol.7, n.2, pp.60-78. ISSN 2007-3011.

An application of Artificial Neural Networks (ANN) for the seismic design of reinforced concrete buildings is presented. Two models of ANN were trained. The first model corresponds to buildings designed for 8 -12 stories and the second model for 4 7 stories. The buildings are located in soft soil of the valley of Mexico. The Feed-Forward Backpropagation network is used for the ANN models. Two models designed by means of ANN were compared with those obtained with the conventional design way. As a result of a comparative analysis, maximum differences around 15% were found in the structural elements; therefore, the proposed ANN models are accepted.

Palabras llave : Artificial Neural Networks; reinforced concrete structures; seismic design; numerical solutions.

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