Estimating compressive strength

摘要

Although the many factors that affect concrete strength are well known, their collective effect on the strength is still not fully understood. This subject is therefore useful to expand the state-of-the-art-knowledge. In this paper, an attempt has been made to establish a simplified relationship among various factors that influence compressive strength. The paper presents ready-to-use formulae and networks to estimate 3 days, 7 days, and 28 days strengths of concrete cubes, immediate after casting or at an early age for different combinations of cementitious materials such as Ordinary Portland Cement (OPC), Blended Cement (Portland Pozzolana Cement [PPC] and Portland Slag Cement [PSC]), Fly Ash, Slag, and Micro Silica. The predictive tools such as Multiple Regression Analysis (MRA) and Artificial Neural Network (ANN) helped to develop the formulae and networks. Seven laboratories in Mumbai generated the data for analysing and validating the formulae and networks.