THERMAL INSULATION AND PERFORMANCE OF RCC SLABS
Description:... In the case of buildings built in extreme condition areas, heating is done during winter, and cooling is done during summer for the comfort feeling of the occupants. It leads to the consumption of a lot of electric power, which can be reduced to a great extent if thermally insulated construction materials are used. The significant objective of this proposed work is to develop a mathematical model with the help of different optimization techniques. Numerical modeling is utilized to predict the temperature of the different walls such as ferro cement wall, RCC wall and three cavity walls such as combined twin RCC walls, combined twin ferro cement walls and combined ferro cement and RCC walls. Mathematical modeling is achieved by reducing the cost and time devoted in the case of extension of the existing work. The thermal execution of building roof components subjected to variations of temperature on roof top were inspected with (treated) and without (untreated) insulating materials. The optimal system weight can be accomplished with a number of optimization techniques such as Group Search Optimization (GSO), Genetic Algorithm (GA), Cuckoo Search (CS), Bacterial Colony Optimization (BCO) and Social Spider Optimization (SSO). The optimal values are based on minimizing the error and predicting the temperature of different walls accurately. Heat conduction through the roof can be decreased by providing thermal insulation on the roofs.
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