Multi-Objective Optimization of Steel and Concrete Composite Cellular Beams

Resumo

With the continuous advancement of civil construction in Brazil and worldwide, there is a growing demand for structural systems capable of spanning longer distances using elements that are both economically and environmentally sustainable. In this context, cellular beams emerge as a promising alternative, as their manufacturing process allows for an increase in section inertia without a proportional increase in structural mass. This study presents a multi-objective optimization approach for composite steel–concrete cellular beams. The objective functions include minimizing CO₂ emissions and total construction cost, as well as maximizing load-bearing capacity. The design constraints were derived from established recommendations in the literature, considering that current Brazilian standards lack specific technical provisions for the design of such beams. To address the optimization problem, the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm was implemented. The resulting Pareto fronts will be compared with single-objective optimization outcomes reported in the literature. The expected outcomes include assessing the efficiency of the algorithm in finding optimal solutions, as well as achieving beam designs that are both economically and environmentally efficient while offering enhanced structural performance.