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The aim of study is to frame a mathematical modeling with aid of optimization techniques predict the concrete parameters. In these combines the presentation of the concrete is given by the designer however the mix proportions are found out by the producer of concrete, apart from that the minimum cement content can be placed down. Fly ash and bottom ash is an important role on the follow of such invention. In improving countries like India and other countries the employ of extensive reinforced construction works from the low cost building materials such as fly ash, bottom ash and other components in RCC construction. Mathematical modelling is done by minimizing the cost and time consumed in the case of extension of the real time experiment. Mathematical modelling is utilized to predict the Compressive Strength (CS), Split Tensile Strength (STS) for 7, 28 and 56 days and deflection (D) of the concrete with load. The different optimization algorithms such as Particle Swarm Optimization (PSO), Harmony Search (HS) and Artificial Fish Swarm Optimization (AFSO) are utilized to find the optimal weights α and β of the mathematical modelling. All optimum results demonstrate that the attained error values between the output of the experimental values and the predicted values are closely equal to zero in the designed model. From the results, the minimum error 93.766% is determined by mathematical modelling to attain in AFSO algorithm.

Arithmetical Modelling for Evaluating the Performance of Concrete Strength with the Aid of Optimization Techniques