Uso de técnicas de inteligencia artificial para el predimensionamiento óptimo de elementos estructurales metálicos

Abstract

Abstract: The purpose of this research was to develop a mathematical model to obtain an optimal predimensioning of a wind turbine tower using artificial intelligence. The proposed model is a predesign tool that uses a genetic algorithm to facilitate the design process and reduce the number of interactions inherent in the search for optimal dimensions. This will facilitate the work of engineers who are starting in the design of this kind of structures. The algorithm used considerably reduces the analysis time. The algorithm consists of input data, which can vary according to the designer's needs. It is necessary to enter constants, generation size and number of individuals. Finally, the fitness is established, and the objective function is defined, which seeks to minimize the tower's own weight, based on a series of design constraints based on international standards as well as structural and material theories. The result derives in the reduction of material quantities to be used, which is linked to a cost reduction.