CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms

Concrete-filled steel tubular (CFST) columns have been assiduously investigated experimentally and numerically due to the superior structural performance they exhibit. To obtain best possible from CFST while reducing environmental impact, use of optimization algorithms is indispensable. Metaheuristic techniques provide designers members with a very efficient set tools design combinations that perform well under external loading low carbon footprint at same time. That why metaheuristic are more applicable in civil engineering their high efficiency. A large number formulas for prediction axial ultimate load-carrying capacity Nu available codes. However, limitation usage these most only narrow ranges variables. In this study newly developed equations wide range applicability calculates case rectangular cross-sections applied. order optimize cross-sectional dimensions, two different used, performances compared. The reduction CO2 emission demonstrated as function dimensions considering certain requirements. outcome recently social spider algorithm compared well-established harmony search technique. objective was minimize emissions associated fabrication stub columns. effects varying wall thickness concrete compressive strength on visualized by using techniques.