Mathematical Model Using Soft Computing Techniques for Different Thermal Insulation Materials

The property of low thermal transmission of the small air gap between the constituents of combined material has been utilized to obtain energy-efficient wall sections. Ferro-cement is a highly versatile form of reinforced concrete made up of wire mesh, sand, water, and cement, which possesses unique qualities of strength and serviceability. The significant intention of the proposed technique is to frame a mathematical model with the aid of optimization techniques. Mathematical modeling is done by minimizing the cost and time consumed in the case of extension of the existing work. Mathematical modeling is utilized to predict the temperature of different walls such as reinforced cement concrete (RCC) wall, ferro-cement, combined RCC with ferro-cement, and combined ferro-cement wall. Different optimization algorithms such as social spider optimization (SSO) and genetic algorithm are utilized to find the optimal weights alpha and beta of the mathematical modeling. 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. The proposed work is compared to the existing method, and from the results, the minimum error of 97.188% is determined by mathematical modeling in the SSO algorithm.