Abstract
The paper presents the cost optimization of the composite I beam floor system. The composite I beam floor system is designed to be constructed up of a reinforced concrete slab and doubly-symmetrical welded steel I beams. The optimization was performed by the nonlinear programming approach, NLP. An accurate objective function of the manufacturing material, power and labour costs was developed and applied for the optimization. The composite I beam floor system was optimized according to Eurocode 4 for the conditions of both the ultimate and the serviceability limit states. A numerical example of the cost optimization of a composite I beam floor system is presented at the end of the paper to expose the advantages of the proposed approach.
Highlights
Cost effective design of building structures is commonly obtained after the time-consuming trial-anderror analysis of various structural alternatives
This paper presents the cost optimization of the composite I beam floor system, consisted of a reinforced concrete slab and doubly-symmetrical welded steel I beams
Numerical example: The paper presents the example of the manufacturing cost optimization of the supported composite I beam floor system
Summary
Cost effective design of building structures is commonly obtained after the time-consuming trial-anderror analysis of various structural alternatives. Since the state-of-the-art optimization methods in comparison with traditionally used trial-and-error methods generate more effective structural design, a significant construction cost savings may be obtained on account of an accurate cost optimization at the conceptual design level. Most of the published research works include simplified cost objective functions with fixed cost parameters In this sense, the cost optimization of cable-stayed bridges with composite superstructures was presented by Long et al.[5]. The optimization based comparison between composite I beams and composite trusses, introduced by Kravanja and Šilih[7], was accomplished by using the fixed cost parameter based objective functions, which comprised the costs of concrete, structural steel, reinforcement, shear studs, anti-corrosion paint, fire protection paint F 30, sheet-steel cutting costs, welding costs and the costs of the formworks
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