Prediction of strength of remixed concrete by application of orthogonal decomposition, neural analysis and regression analysis

Abstract

Compressive strength is the foremost property of concrete which is influenced by a number of parameters. These parameters plays important role for the characteristics achieved by concrete. Orthogonal decomposition, neural analysis and regression analysis tools can be utilized where the dependence and independence of these parameters to be considered. In this paper these analyses are considered for remix concrete, in which apart from the cement contents, w/c ratio, proportions of C.A., F.A., the other parameters like blend ratio (r=Qo/Qf, Qo=quantity of old partially set concrete, Qf =quantity of fresh concrete) time lag ( time between preparation and placing of concrete) also plays the important role.