Optimization of Hybrid Fibre Reinforced Concrete Beams Using Genetic Algorithm

Vol. 1 No. 3

Year: 2011

Issue: Jun-Aug

Title: Optimization of Hybrid Fibre Reinforced Concrete Beams Using Genetic Algorithm 

Author Name: Eswari, Raghunath , Kothandaraman 

Synopsis: 

A genetic algorithm is used to perform the discrete optimization of hybrid fibre reinforced concrete beams subject to a specified set of constraints. The objective function considered is the total cost of the materials. The Genetic Algorithm tries to minimize the cost for achieving required load carrying capacity, permissible deflection, ductility and average crack width for optimum combination of polyolefin and steel fibres. The input variables are breadth, depth, length, cost of polyolefin fibre, cost of steel fibre, ultimate load, ultimate deflection, ductility, average crack width are to be entered. The output of the given problem is Fibre volume ratio, Fraction of polyolefin fibre, Fraction of steel fibre, and Minimized cost. It is shown that the developed genetic algorithm obtained an optimal solution for hybrid fibre reinforced concrete beams.