Bibliographic citations
Damián, M., (2013). Predicción de la respuesta sísmica de muros de albañilería confinada empleando redes neuronales artificiales [Tesis, Universidad Nacional de Ingeniería]. http://hdl.handle.net/20.500.14076/1132
Damián, M., Predicción de la respuesta sísmica de muros de albañilería confinada empleando redes neuronales artificiales [Tesis]. : Universidad Nacional de Ingeniería; 2013. http://hdl.handle.net/20.500.14076/1132
@mastersthesis{renati/255330,
title = "Predicción de la respuesta sísmica de muros de albañilería confinada empleando redes neuronales artificiales",
author = "Damián Jara, Melquiades Dámaso",
publisher = "Universidad Nacional de Ingeniería",
year = "2013"
}
In this thesis, it is employed an Artificial Neural Network (ANN) to determine the response to a lateral force/displacement in confined masonry walls. For that, the model input data are prepared, corresponding to the lateral displacement and the confined wall vertical load as well as the network output, modeling the confined wall cracking as a sequence of zeros and ones (0: non cracked, 1: cracked), besides the wall lateral response/force that corresponds to the cracking pattern. Afterwards, it is designed the architecture, a feedforward Neural Network with Backpropagation algorithm, a gradient descent training algorithm with variable moment and learning rate, and a hidden layer of 33140 neurons. The network is trained to learn the cracks and lateral forces, by making it reproduces the learnt data with acceptable precision.
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