ICASGE'23
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Optimum Design of Reinforced Concrete Solid-Slab Floor System Using Genetic Algorithms
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Volume Title: ICASGE2023
Authors
Faculty of Engineering, Pharos University of Alexandria, Egypt
Abstract
Structural optimization has been the trend of a lot of research recently aiming to reach the goal of an economic, safe, and eco-friendly design. The present study aims to get the optimum design of a reinforced concrete solid slab floor resting directly on continuous beams according to the Egyptian code ECP 203 - 18. The optimum beam layout of a rectangular plan is achieved using the Genetic Algorithms (GA) optimization technique employing the implanted global optimization toolbox. The design variables include slab and beam reinforcement and the main beam spacing. It also suggests the optimum solid slab (e.g. one-way slab or two-way slab supported on secondary beams) system. The effect of changing the live load has been studied on the optimum solution. The results of the present study show that the beam layout, slab type, and acting live load affects the minimum cost and design variables significantly. The use of a one-way slab is economical for low live load values for main beam spacing less than 5 m. For high live load, the two-way slab remains the optimum slab system for spacing above 3 m. The increase of live load tends to increase the number of main beams with a lower spacing.
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