Practice Periodical on Structural Design and Construction · 2018 · 16 citations · 20 references
EngineeringPerformance-based Building DesignMechanical EngineeringDesignGenetic AlgorithmOptimal DesignStructural ApplicationStructural DesignConstruction ManagementComposite Floor SystemsStructural OptimizationStructural SteelStructural MechanicsWeb BucklingConstruction EngineeringStructural Engineering
The cost optimization of the internal composite floor bays with castellated steel beams was studied using a genetic algorithm. A computed flowchart, input variables, constraints, and output variables are presented. The cost optimal function was defined using a price list of the different floor components. The accuracy of the model was validated by comparison with two literature examples. Comparative simulations were conducted to explore the effect of various influential parameters in optimal design, and the number of floor divisions, dimensions of hexagonal openings, and number of web openings were considered. The simulation results show that there were no significant effects on the composite bay cost due to the changes in the number of floor divisions or web openings. Web opening limitations were presented to minimize the cut length. In addition, design guidelines for opening dimensions to reduce web buckling were discussed.
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