O uso de algoritmo genético no dimensionamento e otimização de projetos de estruturas de concreto armado em laje maciça

Abstract

The superstructure of a building is the element responsible for the architecture’s capacity to take form and allow the building to resist adequately to the demanding loads of utilization. The traditional dimensioning processes are based on abacuses and empiric relations between spans, which may lead to rework during the project process. The present work proposes a new flux to the pre-dimensioning process of reinforced concrete structures, based on a parametric finite element structural model and the use of a genetic algorithm for the automatization of the definition of the element’s cross sections. To verify the applicability of the proposed method, a case study was carried out through the usage of the method for the structural pre-dimensioning for residential building. With the application, it was possible to observe that the method was capable of carrying out the pre-dimensioning in a coherent manner for concretes with two different compressive strengths. Furthermore, it was possible to analyze the influence of the compressive strength of the concrete in the total volume of concrete of a building during the pre-dimensioning stage.