Development of Prediction Models to Determine Compressive Strength and Workability of Sustainable Concrete with ANN

Concrete is the widely used composite material to build infrastructures that should remain durable and serviceable. This study focuses on sustainable concrete produced by replacing cement with waste products (fly ash and slag) to obtain good mechanical long-term and desirable durability. The use of fly ash and slag in concrete in place of cement lowers global energy demand and saves money on the verge of depletion. Fly ash provides increased workability, mechanical and durability properties and a wide range of advantages, including decreased strain on natural resources and a lower CO2 footprint. Fly ash in concrete structures is used as a partial substitute for Ordinary Portland Cement. Experimental work about concrete contributes to a waste of resources, time and money. Nominal concrete is a heterogeneous mixture of cement, water, coarse and fine aggregates. Therefore, for efficient use of such materials in various engineered structures, a clear understanding of such complex behavior is important. In this paper, the ANN is used to execute and provide output for compressive strength and workability of concrete, which we are predicting by use of 103 datasets obtained from available technical literatures. The focus is to find out the ideal equation for workability and compressive strength for concrete with the help of ANN.