A SYSTEM AND A METHOD FOR EVALUATING COMPRESSION STRENGTH OF A MATERIAL

Abstract The present disclosure relates to a system and a method for evaluating compression strength of a material. The addition of steel fibres in SIFCON significantly increased the compressive strength. The compressive strength obtained has gradually increased with the curing period i.e, from 7 to 91 days. On comparison of addition of 8%, 10% and 12% steel fibres in concrete, 12% fibre showed the optimum value in compressive strength for all the curing periods. There is a variation in the rate of increase of the compressive strength is large at the early stage of curing period and later the rate of increase of strength has decreased. This is because the hydration process gets slowed down as the curing age progresses from 28 days to 98 days. The application of Levenberg-Marquardt based neural network models and Polynomial Curve fitting for predicting the compressive strength of SIFCON has been demonstrated. The LM based neural network model and Polynomial Curve fitting is able to predict the compressive strength of SIFCON concrete satisfactorily for new problems with an accuracy of about 95% and 80% respectively. S-' u~ ciu bfl0 -M 0 u 4- C C4 = I-~~ C:)