Cost Analyis of Rc Beam Using Genetic Algorithm”

Ankit Gupta, Arpit Chawda


In this study we present a use of genetic algorithm applications and lay a special emphasis on use of the same as one of the most important optimization tool. Finally, some examples illustrate the effectiveness and efficiency of the genetic algorithm based optimal design.  Optimization processes act as a vital part in design of structure; the main aim of optimization is to find the best manners so that a designer can figure the maximum gain from existing resources.  Optimum structural design methods are able to be carried out corresponding to the design belief involved. Even today, the majority of the civil structures were designed based on allowable stress criteria as per code requirements. Nonetheless, a specific factor of safety beside ultimate collapse of the structure is used by various new processes.  This study proposes a new genetic algorithm for RC beam design. A genetic algorithm model was prepared to execute the optimization of cost for singly and doubly reinforced concrete beam which was subjected to different loading conditions. The initial solution was acquired by utilizing the limit state design. Code was written in MATLAB by using genetic algorithm to obtain the optimal values.

 This optimization problem is then solved by a genetic algorithm specially tailored to the problem.  In the objective function, the total cost of the structure is minimized.  . Cost optimization for singly and doubly reinforced beam is illustrated and plotting of various cases are shown. the total cost of beam reduces with the increase in characteristic compressive strength of concrete, while fixing the applied load and the grade of steel, beacuse the Genetic Algorithm optimizes the final cost by decreasing the dimension of section in order to find the optimal cost.

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