Modeling of concrete slump and compressive strength using ann

Abstract

Artificial Neural Network (ANN) is a subdivision of Artificial Intelligence are extensively used to answer a complex civil engineering concerns. The following paper would predict the compressive strength and slump, having several mixtures with 28 days. ANN model with 7 different parameters that comprises: Slag (SL), Fly Ash (FL), Fine Aggregate (FA), Coarse Aggregate (CA), Super Plasticizers (SP), Cement (C), Water (W) respectively as input while concrete slump and while compressive strength as output. The same inputs are provided and are developed as another model. The slump and compressive strength of concrete are determined by ANN through its machine learning which is identified by validation, testing and training results. This kind of strength conjecture will help the concrete factories that manufactures the concrete, which when used in concrete will result in definite strength.