Year: 2022
Type: article
Abstract: Due to the growing demand from the civil construction sector around the world, actions minimizing greenhouse gas emissions from this sector have become necessary.Within this scenario, composite steel, and concrete structures have shown to be a good alternative, considering the recyclability of steel and the reduction in the use of concrete.Our study aims to present the formulation of the optimization problem, as well as its application for the composite steel and concrete system with steel deck slabs, aiming at minimizing the CO2 emission of the structure production.To solve the optimization problem, the Genetic Algorithm (GA) and the Particle Swarm Optimization (PSO) were used to verify the convergence of the solutions.Our models were compared with models from the literature to verify the effectiveness of the proposed solution, as well as the impact of the solutions for different classes of concrete strength.The results show that the best solution from the environmental point of view will not always be the best solution from the economic point of view and that the algorithms were efficient in determining the optimal solutions.
Institution: Universidade Federal do Espírito Santo
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4313199596