Otimização da emissão de CO2 de sistemas de pisos mistos via algoritmos metaheurísticos

• Ano de defesa: 2022
• Autor(a) principal: Arpini, Paulo Augusto Tonini
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Engenharia Civil; Centro Tecnológico; UFES; Programa de Pós-Graduação em Engenharia Civil
• Palavras-chave em Português: Mecânica computacional; Otimização estrutural; Algoritmo genético; Particle Swarm Optimization (PSO); subject.br-rjbn; Engenharia Civil
• Link de acesso: http://repositorio.ufes.br/handle/10/16294

Since the Industrial Revolution started in the XVII century, the emission of greenhouse gases, especially CO2, has increased significantly. In this work, the optimization of a system composed of main and secondary steel and concrete mixed beams and steel pillars was carried out. For the optimization routine, the genetic algorithm and the particle swarm optimization (PSO) were used. For the comparison between the algorithms, three numerical examples taken from works previously published in the literature were modeled. In addition to the numerical examples, a convergence test was modeled in order to verify the confidence of the examples. The results showed a better adaptation of the particle swarm optimization (PSO) compared to the results obtained by the genetic algorithm.