Design Optimization of Reinforced Concrete Waffle Slab Using Genetic Algorithm

Document Type : Regular Article

Authors

1 Department of Civil Engineering, Faculty of Engineering, Osun State University, Osogbo, Nigeria

2 Department of Civil and Environmental Engineering, College of Engineering, Bells University of Technology, Ota, Nigeria

Abstract

This research presents the optimization techniques for reinforced concrete waffle slab design because the EC2 code cannot provide an efficient and optimum design. Waffle slab is mostly used where there is necessity to avoid column interfering the spaces or for a slab with large span or as an aesthetic purpose. Design optimization has been carried out here with MATLAB, using genetic algorithm. The objective function include the overall cost of reinforcement, concrete and formwork while the variables comprise of the depth of the rib including the topping thickness, rib width, and ribs spacing. The optimization constraints are the minimum and maximum areas of steel, flexural moment capacity, shear capacity and the geometry. The optimized cost and slab dimensions are obtained through genetic algorithm in MATLAB. The optimum steel ratio is 2.2% with minimum slab dimensions. The outcomes indicate that the design of reinforced concrete waffle slabs can be effectively carried out using the optimization process of genetic algorithm.

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References

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History

  • Receive Date: 25 March 2020
  • Revise Date: 22 August 2020
  • Accept Date: 22 August 2020

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