OPTIMIZATION OF HIGH-PERFORMANCE STEEL-CONCRETE COMPOSITE BEAMS CONSIDERING CARBON EMISSIONS

, Page 0-0 (1)

Volume Title: ICASGE2023

¹Civil Engineering，school of Civil Engineering, Chongqing University，Chongqing,China

²School of Civil Engineering, Chongqing University, Chongqing, China

In practical design of steel-concrete composite structures, obtaining an optimal solution considering carbon emissions is difficult based on engineer’s experience. A high-performance steel-concrete composite beam optimization model is developed from a modified adaptive particle swarm optimization (APSO) algorithm to account for carbon emissions. To achieve the optimal solution that meets the design requirements, the model uses the sectional parameters of the composite beam as discrete variables and introduces penalty functions through the APSO algorithm. The results of the optimization model are compared with the prototype structure. Besides, the carbon emissions reduced by the optimized prototype structure are obtained. The optimization results show that the model can obtain a reliable approximation of the optimal section. The span, web height, and flange width have a significant impact on the carbon emissions. The optimized high-performance steel-concrete composite beams will reduce carbon emissions by about 15%, and the overall floor will reduce carbon emissions by about 12%. The proposed model is promising to be used in engineering practice.

High-performance steel-concrete composite beams; Optimization; Adaptive particle swarm optimization algorithm; Penalty functions; carbon emissions

Steel Structures (STL)