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Paper w78-1999-2407:
Slab formwork design using genetic algorithm

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Al-Tabtabai H, Alex A P, James R

Slab formwork design using genetic algorithm

Abstract: A method to design cost-optimum slab formwork components is proposed in this paper. Genetic Algorithms (GAs), a technique based on the principles of natural selection and evolution, is applied to solve the optimisation problem. GAs search from a population of possible solutions limited by a set of constraints. The cost of form components and labor involved, were considered for the formulation of the objective function of the optimisation problem. The bending moment, shear, maximum deflection, imposed ACI code provisions, etc., were used as constraints for the optimisation problem. Application of GA to the formwork design problem provides optimum design parameters such as the optimum cross section for form members, optimum spacing of form members, etc., while minimising the total cost. Formwork made either from wood, wood-metal composite or metal alone can be designed using the proposed technique. The paper presents the case of general formwork design, however, the method as a whole readily applies to the design of formwok for elevated slabs and high rise concrete elements.



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Series: w78:1999 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.economic (0.011489) class.analysis (0.007703) class.retrieve (0.007266)
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Permission to reproduce these papers has been graciously provided by the Research Press of the National Research Council of Canada. The support of the editors, particularly Dr. Dana Vanier, is gratefully appreciated.


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