Structural Engineering and Mechanics

  • 제89권5호
  • /
  • Pages.453-466
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  • 2024
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

CO2 emission optimization of composite floor systems with cellular beams via metaheuristics algorithms

  • Gabrieli Fontes Silva (Department of Civil Engineering, Federal University of Espirito Santo) ;
  • Moacir Kripka (Civil Engineering Graduate Program, Federal University of Technology-Parana) ;
  • Elcio Cassimiro Alves (Department of Civil Engineering, Federal University of Espirito Santo)
  • 투고 : 2023.09.11
  • 심사 : 2024.02.15
  • 발행 : 2024.03.10
⟨ 이전 논문 다음 논문 ⟩

초록

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%.

키워드

과제정보

The authors would like to thank CAPES for the support given to the postgraduate program in civil engineering at UFES, CNPq for the research grant provided to the second author, and FAPES for the research grant provided to the third author.

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