其他摘要：An optimization process of earthquake-resistant structures is presented, which means to meet values of a set of design parameters that satisfy prescribed probabilities of annual excedance or reliability indices, and to minimize an objective function like the total weight or cost. The major computational effort is the structural non linear dynamic analysis to obtain the response parameters, taking into account the uncertainties, for a set of earthquake records likely to occur at a site. The reliability evaluation is done by direct simulation of Monte Carlo, efficiently due to the approximation of the structural response by a “substitute”, in this work neural networks that show more flexible and efficient representation. The optimization process is carried out by a search algorithm, gradient free. The presented examples show the power and advantages of these numerical techniques.
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