Abstract
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.
Highlights
By employing conventional materials and normal mixing, placing and curing practices High Performance Concrete is described as concrete which fills distinctive performance and stability necessities that can never be all the time evaluated often
The mathematical modelling combined with the Artificial Fish Swarm Optimization (AFSO) elegantly performs the fascinating function of finding the optimal solutions of
This study elegantly explains the mathematical modelling technique crowned with the mighty Artificial Fish Swarm Optimization (AFSO) technique which amazingly attains the accurate ideal values of the weights in model
Summary
By employing conventional materials and normal mixing, placing and curing practices High Performance Concrete is described as concrete which fills distinctive performance and stability necessities that can never be all the time evaluated often. The Portland cement concrete industry will employ fly ash if the Loss-On-Ignition (LOI) values are less than 6%. The normal Portland Cements (OPC) is partly restored by the fly ash, bottom ash, fine aggregate, coarse aggregate and Light Expanded Clay Aggregate (LECA) by weights of 5, 10, 15, 20, 25, 30 and 35% correspondingly. This proposed methodology is to develop the mathematical modeling with optimization process predicts the compressive strength, divide tensile strength and flexural strength with the assist of recognized input values in OPC mixing concrete
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