Simulation modeling using neural network techniques

In this example, we will try to predict the quality of the concrete starting from its ingredients. Reinforced concrete, after about a century of life, has shown its vulnerability to the action of time, atmospheric agents, and earthquakes. The proportions of the phenomenon are such as to prevent any attempt at a solution based on the planned replacement of existing buildings; therefore, in recent years, the interest in the degradation and recovery of reinforced concrete structures has increased both to safeguard the existing building heritage and, when necessary, to increase the structural safety coefficients. The problem, already relevant in itself, immediately causes a second one, that of the correct design of new buildings, aimed at minimizing deterioration, avoiding, for the future, huge and unexpected recovery costs. All this is convincing the technicians that it is no longer enough to traditionally design concrete structures...