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Structural Engineering and Mechanics Volume 89, Number 5, March10 2024 , pages 453-466 DOI: https://doi.org/10.12989/sem.2024.89.5.453 |
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CO2 emission optimization of composite floor systems with cellular beams via metaheuristics algorithms |
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Gabrieli Fontes Silva, Moacir Kripka and Élcio Cassimiro Alves
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| Abstract | ||
| In this study, the optimization of the composite floor system with cellular beams is investigated. The objective function is the minimization of carbon dioxide (CO2) emissions and the optimal solution is defined by 19 design variables for the beam's topology, beams fabricated process, steel deck characteristics, columns. The requirements of the ultimate and serviceability state limits are considered for the composite floor system design. The program is developed within the MATLAB platform. A number of the benchmark test problems of composite floor systems with full web beams are optimized with cellular beams to verify the reduction of total CO2 emission. The optimum results are obtained by Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Bonobo Algorithm (BO). A comparison of the performance of these algorithms shows that the BO algorithm has a higher search capability and results in better solutions than PSO and GA algorithms in the optimization of the composite floor system with the cellular beams and the use of cellular beams can reduce the total CO2 emissions of the floor above 20%. | ||
| Key Words | ||
| CO2 emission; composite floor system with cellular beams; metaheuristic algorithms; optimization | ||
| Address | ||
| Gabrieli Fontes Silva: Department of Civil Engineering, Federal University of Espirito Santo, Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, Brazil Moacir Kripka: Civil Engineering Graduate Program, Federal University of Technology–Paraná, Via do Conhecimento, Km 1, Pato Branco 85503-390, Paraná, Brazil Élcio Cassimiro Alves: Department of Civil Engineering, Federal University of Espirito Santo, Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, Brazil | ||